Machine Learning For Dummies

Machine Learning For Dummies

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The Machine Learning For Dummies App is the perfect way to learn about Machine Learning, AI and how to Elevate your Brain. With over 400+ Machine Learning Operations, Basic and Advanced ML questions and answers, the latest ML news, and a daily Quiz, the App is perfect for anyone who wants to learn more about this exciting field.

With operations on AWS, Azure, and GCP, the App is perfect for beginners and experts alike. And with its updated daily content, you’ll always be up-to-date on the latest in Machine Learning. So whether you’re a beginner or an expert, the Machine Learning For Dummies App is the perfect way to learn more about this fascinating field. Use this App to learn about Machine Learning and Elevate your Brain with Machine Learning Quiz, Cheat Sheets, Questions and Answers updated daily.

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The App provides:

– 400+ Machine Learning Operation on AWS, Azure, GCP and Detailed Answers and References

– 100+ Machine Learning Basics Questions and Answers

– 100+ Machine Learning Advanced Questions and Answers – Scorecard

– Countdown timer – Machine Learning Cheat Sheets

– Machine Learning Interview Questions and Answers

– Machine Learning Latest News and Tweets

Machine Learning Quiz For Dummies
Machine Learning Quiz For Dummies

The App covers: Azure AI Fundamentals AI-900 Exam Prep: Azure AI 900, ML, Natural Language Processing, Modeling, Data Engineering, Computer Vision, Exploratory Data Analysis, ML implementation and Operations, S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, GCP PROFESSIONAL Machine Learning Engineer, Framing ML problems, Architecting ML solutions, Designing data preparation and processing systems, Developing ML models, Monitoring, optimizing, and maintaining ML solutions, Automating and orchestrating ML pipelines, Quiz and Brain Teaser for AWS Machine Learning MLS-C01, Cloud Build, Kubeflow, TensorFlow, CSV, JSON, IMG, parquet or databases, Hadoop/Spark, Vertex AI Prediction, Describe Artificial Intelligence workloads and considerations, Describe fundamental principles of machine learning on Azure, Describe features of computer vision workloads on Azure, Describe features of Natural Language Processing (NLP) workloads on Azure , Describe features of conversational AI workloads on Azure, QnA Maker service, Language Understanding service (LUIS), Speech service, Translator Text service, Form Recognizer service, Face service, Custom Vision service, Computer Vision service, facial detection, facial recognition, and facial analysis solutions, optical character recognition solutions, object detection solutions, image classification solutions, azure Machine Learning designer, automated ML UI, conversational AI workloads, anomaly detection workloads, forecasting workloads identify features of anomaly detection work, NLP, Kafka, SQl, NoSQL, Python, DocumentDB, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Download the Machine Learning For Dummies App below:

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AWS Machine Learning Certification Specialty Exam Prep

AWS Machine Learning Specialty Certification Prep (Android)

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The AWS Certified Machine Learning Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Use this App to learn about Machine Learning on AWS and prepare for the AWS Machine Learning Specialty Certification MLS-C01.

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

AWS MLS-C01 Machine Learning Specialty Exam Prep PRO

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AWS machine learning certification prep
AWS machine learning certification prep

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

The App provides hundreds of quizzes and practice exam about:

– Machine Learning Operation on AWS

– Modelling

– Data Engineering

– Computer Vision,

– Exploratory Data Analysis,

– ML implementation & Operations

– Machine Learning Basics Questions and Answers

– Machine Learning Advanced Questions and Answers

– Scorecard

– Countdown timer

– Machine Learning Cheat Sheets

– Machine Learning Interview Questions and Answers

– Machine Learning Latest News

The App covers Machine Learning Basics and Advanced topics including: NLP, Computer Vision, Python, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.

Domain 1: Data Engineering

Create data repositories for machine learning.

Identify data sources (e.g., content and location, primary sources such as user data)

Determine storage mediums (e.g., DB, Data Lake, S3, EFS, EBS)

Identify and implement a data ingestion solution.

Data job styles/types (batch load, streaming)

Data ingestion pipelines (Batch-based ML workloads and streaming-based ML workloads), etc.

Domain 2: Exploratory Data Analysis

Sanitize and prepare data for modeling.

Perform feature engineering.

Analyze and visualize data for machine learning.

Domain 3: Modeling

Frame business problems as machine learning problems.

Select the appropriate model(s) for a given machine learning problem.

Train machine learning models.

Perform hyperparameter optimization.

Evaluate machine learning models.

Domain 4: Machine Learning Implementation and Operations

Build machine learning solutions for performance, availability, scalability, resiliency, and fault

tolerance.

Recommend and implement the appropriate machine learning services and features for a given

problem.

Apply basic AWS security practices to machine learning solutions.

Deploy and operationalize machine learning solutions.

Machine Learning Services covered:

Amazon Comprehend

AWS Deep Learning AMIs (DLAMI)

AWS DeepLens

Amazon Forecast

Amazon Fraud Detector

Amazon Lex

Amazon Polly

Amazon Rekognition

Amazon SageMaker

Amazon Textract

Amazon Transcribe

Amazon Translate

Other Services and topics covered are:

Ingestion/Collection

Processing/ETL

Data analysis/visualization

Model training

Model deployment/inference

Operational

AWS ML application services

Language relevant to ML (for example, Python, Java, Scala, R, SQL)

Notebooks and integrated development environments (IDEs),

S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, SageMaker, CSV, JSON, IMG, parquet or databases, Amazon Athena

Amazon EC2, Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Container Service, Amazon Elastic Kubernetes Service , Amazon Redshift

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

  • [P] I trained an AI model on 120M+ songs from iTunes
    by /u/BullyMaguireJr (Machine Learning) on February 3, 2023 at 7:36 pm

    Hey ML Reddit! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic search to find similar music! Here are some examples you can try: Fetish (Selena Gomez feat. Gucci Mane) — https://maroofy.com/songs/1563859943 The Medallion Calls (Pirates of the Caribbean) — https://maroofy.com/songs/1440649752 Hope you like it! This is an early work in progress, so would love to hear any questions/feedback/comments! 😀 submitted by /u/BullyMaguireJr [link] [comments]

  • [N] Google Open Sources Vizier, Hyperparameter + Blackbox Optimization Service at Scale
    by /u/enderlayer (Machine Learning) on February 3, 2023 at 4:33 pm

    Github: https://github.com/google/vizier Google AI Blog: https://ai.googleblog.com/2023/02/open-source-vizier-towards-reliable-and.html Tweet from Zoubin Ghahramani: https://twitter.com/ZoubinGhahrama1/status/1621321675936768000?s=20&t=ZEuz9oSc_GWYxixtXDskqA submitted by /u/enderlayer [link] [comments]

  • [R] editing colors on SHAP plot summary
    by /u/lekayra (Machine Learning) on February 3, 2023 at 3:03 pm

    We can change the colors of some texts and backgrounds on a SHAP summary plot by editing matplotlib's matplotlibrc file. We can also edit the plotting colors by passing a colormap but we're unable to change the colors of the "feature names" at the left side of the SHAP summary plot (beeswarm) -and the color of the y axis- by editing matplotlib's matplotlibrc file. Has anyone worked around this? Is there a way that we could overcome this restriction? submitted by /u/lekayra [link] [comments]

  • [D] Using a public research dataset for "testing" NOT "training" a ML model
    by /u/alzoubi36 (Machine Learning) on February 3, 2023 at 2:18 pm

    Is it allowed to use a public dataset like the KITTI dataset to test a model trained for commercial use? Note that the KITTI dataset is only allowed to be used for research purposes and the model is trained with different data (company specific). submitted by /u/alzoubi36 [link] [comments]

  • [D] Get log probs of a sentence using OpenAI APIs?
    by /u/Capable_Bumblebee645 (Machine Learning) on February 3, 2023 at 1:24 pm

    Is there a way to use OpenAI APIs to get the log prob of a given sentence? I don't want new completions, I want to see how the model scores given sentences. submitted by /u/Capable_Bumblebee645 [link] [comments]

  • [R] Graph Mixer Networks
    by /u/asarig_ (Machine Learning) on February 3, 2023 at 12:23 pm

    I began exploring MLP-Mixer[1,2] on Graph Neural Networks in October 2021 and completed my implementation the ZINC dataset in November of the same year. My implementation is available on Github, but I was unable to fully conduct the experiments due to lack of computational resources. In December 2022, a group of leading figures in the field, including Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, and Xavier Bresson, published a paper titled "A Generalization of ViT/MLP-Mixer to Graphs". Although I am pleased to be working alongside these prominent researchers on the application of MLP-Mixers to Graphs, I regret that I was unable to finish my experiments. Encouraged by my friends and advisors, I decided to make my work public by publishing it on arxiv. The paper and code can be found as the following: Paper/report: https://arxiv.org/abs/2301.12493 Github: https://github.com/asarigun/GraphMixerNetworks I used PNA as my baseline and did not utilize patches in my study, unlike the other study. I hope someone finds them interesting/useful. submitted by /u/asarig_ [link] [comments]

  • [D] Understanding Vision Transformer (ViT) - What are the prerequisites?
    by /u/SAbdusSamad (Machine Learning) on February 3, 2023 at 11:51 am

    Hello everyone, I'm interested in diving into the field of computer vision and I recently came across the concept of Vision Transformer (ViT). I want to understand this concept in depth but I'm not sure what prerequisites I need to have in order to grasp the concept fully. Do I need to have a strong background in Recurrent Neural Networks (RNNs) and Transformer (Attention Is All You Need) to understand ViT, or can I get by just knowing the basics of deep learning and Convolutional Neural Networks (CNNs)? I would really appreciate if someone could shed some light on this and provide some guidance. Thank you in advance! submitted by /u/SAbdusSamad [link] [comments]

  • [R] [P] Noisy Sentences Dataset
    by /u/radi-cho (Machine Learning) on February 3, 2023 at 10:14 am

    550K sentences in 5 European languages augmented with noise for training and evaluating spell correction tools or machine learning models. We have constructed our dataset to cover representatives from the language families used across Europe. Germanic - English, German; Romance - French; Slavic - Bulgarian; Turkic - Turkish; Use case example: Apply language models or other techniques to compare the sentence pairs and reconstruct the original sentences from the augmented ones. You can use a single multilingual solution to solve the challenge or employ multiple models/techniques for the separate languages. Per-word dictionary lookup is also an option. Link: https://github.com/radi-cho/noisy-sentences-dataset submitted by /u/radi-cho [link] [comments]

  • [d]? Is there a way to access youtube alphabetically or by id?
    by /u/loonathefloofyfox (Machine Learning) on February 3, 2023 at 6:55 am

    I'm guessing i probably am not the first person who has wanted to work with youtube data so I'm hoping here is a good place to ask So i had an idea to make a neural network that would go through your youtube history and then train a neural network on it. Afterwards if there is a way to access all of youtube by id in a way that you can check every video then you could store all of the id for videos you might like and then use a youtube downloader like youtube-dl to download a certain amount. Was just a dumb idea i had but now i want to actually try it but I'm unsure if I'll actually be able to get the data i need to do it submitted by /u/loonathefloofyfox [link] [comments]

  • [p] Is it possible to add more classes to an already trained resnet image classifier model without the need to retrain it in all dataset again? [p]
    by /u/YukkiiCode (Machine Learning) on February 3, 2023 at 3:47 am

    [p] I am working on massive dataset, and in the future, we'll have to add some more classes over time, can I train the model in the only new classes?[p] submitted by /u/YukkiiCode [link] [comments]

  • [Project] I built a minimal stateless ML project template built on my current favourite stack
    by /u/AntreasAntoniou (Machine Learning) on February 3, 2023 at 2:07 am

    Dear r/MachineLearning, Hello everyone! I hope you are all out there having fun, training deep nets and generating fun story-telling with stable-diffusion! 🙂 I am here today to share with you all a minimal ml project template that I've recently built, which can be found at https://github.com/AntreasAntoniou/minimal-ml-template/. I became increasingly annoyed at how there weren't any repos out there that provided stateless ML project templates, which are absolutely necessary when using kubernetes on spot instances, and I decided to build one. By stateless I mean a repo that by default can store model weights in a remote repo and then download them to continue from where it left off if the previous machine dies. The result was this repository. The repo remains minimal and extremely readable, all while being packed with a cool stack that I use every day. I'd love to get some feedback, so have a look and let me know. Regards, Antreas P.S. A short summary straight from the Github Repo: This repo implements a minimal machine learning template, that is fully featured for most of the things a machine learning project might need. The most important parts that set this repo apart from the rest are: It is stateless. Any given experiment ran using this template, will, automatically and periodically stores the model weights and configuration to HuggingFace Hub and wandb respectively. As a result, if your machine dies or job exits, and you resume on another machine, the code will automatically locate and download the previous history and continue from where it left off. This makes this repo very useful when using spot instances, or using schedulers like slurm and kubernetes. It provides support for all the latest and greatest GPU and TPU optimization and scaling algorithms through HuggingFace Accelerate. It provides mature configuration support via Hydra-Zen and automates configuration generation via decorators implemented in this repo. It has a minimal callback based boilerplate that allows a user to easily inject any functionality at predefined places in the system without spagettifying the code. It uses HuggingFace Models and Datasets to streamline building/loading of models, and datasets, but is also not forcing you to use those, allowing for very easy injection of any models and datasets you care about, assuming you use models implemented under PyTorch's nn.Module and Dataset classes. It provides plug and play functionality that allows easy hyperparameter search on Kubernetes clusters using BWatchCompute and some readily available scripts and yaml templates. The Software Stack This machine learning project template is built using the following software stack: 1. Deep Learning Framework: PyTorch 2. Dataset storage and retrieval: Huggingface Datasets 3. Model storage and retrieval Huggingface Hub, and HuggingFace Models 4. GPU/TPU/CPU Optimization and Scaling up options library: Huggingface Accelerate 5. Experiment configuration + command line argument parsing: Hydra-zen 6. Experiment tracking: Weights and Biases 7. Simple python based ML experiment running with Kubernetes using BWatchCompute submitted by /u/AntreasAntoniou [link] [comments]

  • Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS
    by Tesfagabir Meharizghi (AWS Machine Learning Blog) on February 2, 2023 at 9:48 pm

    Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their

  • Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab
    by Kevin Song (AWS Machine Learning Blog) on February 2, 2023 at 9:42 pm

    The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league in the world. The NFL, BioCore, and AWS are committed to advancing human understanding around the diagnosis, prevention, and treatment of sports-related injuries to make the game of football safer. More

  • [P] Domestic Violence Dataset
    by /u/Naive-Aioli4849 (Machine Learning) on February 2, 2023 at 8:43 pm

    Hi, I am working on project and for that I need a Twitter Domestic Violence Dataset. Basically I need a dataset with domestic violence tweets against woman. I have searched Kaggle and other websites but found no luck. Plus, I tried using Snscrape, but I need some phrases ideas related to domestic violence so I can get some tweets using that. I tried "Domestic Violence" , "My husband tried to kill me" and looking for more. Help is appreciated. submitted by /u/Naive-Aioli4849 [link] [comments]

  • [p] I built an open source platform to deploy computationally intensive Python functions as serverless jobs, with no timeouts
    by /u/seattleite849 (Machine Learning) on February 2, 2023 at 7:44 pm

    Hi friends! I ran into this problem enough times at my last few jobs that I built a tool to solve it. I spent many hours building Docker containers for my Python functions, as many of the data science modules required building C libraries (since they significantly speed up compute-intensive routines, such as math calculations). Deploying the containers to AWS Lambda or Fargate (if the processes required more CPU or memory or were >15 minutes) and wiring functions to talk to each other using queues, databases, and blob storage made iterating on the actual code, which wasn't even that complex most of the time, slow. I made cakework https://github.com/usecakework/cakework, a platform that lets you spin up your Python functions as serverless, production-scale backends with a single command. Using the client SDK, you submit requests, check status, and get results. You can also specify the amount of CPU (up to 16 cores) and memory (up to 128GB) for each individual request, which is helpful when your data size and complexity varies across different requests. A common pattern that I built cakework for is doing file processing for ML: - ingest data from some source daily, or in response to an external event (data written to blob storage) - run my function (often using pandas/numpy/scipy) - write results to storage, update database - track failures and re-run/fix It's open source <3. Here are some fun examples to get you started: https://docs.cakework.com/examples Would love to hear your thoughts! submitted by /u/seattleite849 [link] [comments]

  • [P] Time series outlier / anomaly detection
    by /u/dudester_el (Machine Learning) on February 2, 2023 at 6:57 pm

    I have traffic speed time series data for each day of the week over several months, with data samples about every 30 seconds. I'd like to find periods of time (subsequences) where the speed is much slower than usual. Any recommendations for algorithms that would be well suited to this problem? Thanks submitted by /u/dudester_el [link] [comments]

  • [D] Querying with multiple vectors during embedding nearest neighbor search?
    by /u/mostlyhydrogen (Machine Learning) on February 2, 2023 at 5:33 pm

    Are there tools or techniques that permit you to joint query using more than one query vector? Use case: iterative ANN search refinement, where I start with a seed vector, select matches, and re-query with more examples to improve the search results. I tried doing this with FAISS, but it performs a "batch query" that returns a separate set of results for each query vector (not a joint query). submitted by /u/mostlyhydrogen [link] [comments]

  • [D] Do high leverage points affect Neural Net and Tree-based model?
    by /u/Temporary_Cap_2855 (Machine Learning) on February 2, 2023 at 4:23 pm

    I know they can affect linear regression badly but given the fact that neural net and tree-based models can approximate non-linear complex functions, I don't think the high leverage points would be a problem. Just curious about your opinion whether my thinking makes sense submitted by /u/Temporary_Cap_2855 [link] [comments]

  • [D] ImageNet normalization vs [-1, 1] normalization
    by /u/netw0rkf10w (Machine Learning) on February 2, 2023 at 4:10 pm

    For ImageNet classification, there are two common ways of normalizing the input images: - Normalize to [-1, 1] using an affine transformation (2*(x/255) - 1). - Normalize using ImageNet mean = (0.485, 0.456, 0.406) and std = (0.229, 0.224, 0.225). I observe that the first one is more common in TensorFlow codebases (including Jax models with TensorFlow data processing, e.g. the official Vision Transformers code), whereas the second is ubiquitous in PyTorch codebases. I tried to find empirical comparisons of the two, but there doesn't seem to be any. Which one is better in your opinion? I guess the performance shouldn't be too different, but still it's interesting to hear your experience. submitted by /u/netw0rkf10w [link] [comments]

  • [N] Microsoft integrates GPT 3.5 into Teams
    by /u/bikeskata (Machine Learning) on February 2, 2023 at 1:55 pm

    Official blog post: https://www.microsoft.com/en-us/microsoft-365/blog/2023/02/01/microsoft-teams-premium-cut-costs-and-add-ai-powered-productivity/ Given the amount of money they pumped into OpenAI, it's not surprising that you'd see it integrated into their products. I do wonder how this will work in highly regulated fields (finance, law, medicine, education). submitted by /u/bikeskata [link] [comments]

  • [D] Why do LLMs like InstructGPT and LLM use RL to instead of supervised learning to learn from the user-ranked examples?
    by /u/alpha-meta (Machine Learning) on February 2, 2023 at 1:13 pm

    Aligned LLMs such as InstructGPT and ChatGPT are trained via supervised fine-tuning after the initial self-supervised pretraining. Then, the researchers train a reward model on responses ranked by humans. When I understand correctly, they let the LLM generate responses that humans have to rank on a scale from 1-5. Then, they train a reward model (I suppose in supervised fashion?) on these ranked outputs. Once that's done, they use reinforcement learning (RL) with proximal policy optimization (PPO) to update the LLM. My question is why they use RL with PPO for this last step? Why don't they fine-tune the LLM using regular supervised learning, whereas the human-ranked outputs represent the labels. Since these are labels in the range 1-5, this could be a ranking or ordinal regression loss for supervised learning. submitted by /u/alpha-meta [link] [comments]

  • [D] Commercial Use of a Model that has been trained using Human3.6M
    by /u/mfarahmand98 (Machine Learning) on February 2, 2023 at 12:58 pm

    I wanted to use the Learnable Trainangulation model in a commercial project. The source code itself is under MIT licensing. However, the dataset they have used is Human3.6M, which states that the license is "FREE OF CHARGE FOR ACADEMIC USE ONLY". Yet, recent court rulings (in the US) state that models can use copyrighted data during training, and the results are no longer bound by that copyright (e.g. Google Books). Does the same apply here? submitted by /u/mfarahmand98 [link] [comments]

  • [D] Global Optimum of K-Means Cost Function
    by /u/healthymonkey100 (Machine Learning) on February 2, 2023 at 10:13 am

    I've recently started reading up on classical ML and I got a question about K-Means. More concretely, I am confused about the uniqueness of the global optimal solution of K-Means's cost function. Let's state the problem formally below, extracted from Bishop's Pattern Recognition and Machine Learning book, exercise 9.1. Consider the 𝐾-means algorithm discussed in Section 9.1. Show that as a consequence of there being a finite number of possible assignments for the set of discrete indicator variables 𝑟𝑛𝑘, and that for each such assignment there is a unique optimum for the 𝝁𝑘, the K-means algorithm must converge after a finite number of iterations. I made an answer [here](https://stats.stackexchange.com/questions/603327/question-on-the-proof-of-convergence-of-k-means) detailing the proof of why it does converge in Lloyd's algorithm, but I think I still do not understand why Lloyd's do not converge to a global minimum, which mathematical theorem/understanding am I missing here? I think that optimizing both the assignments and the centroids of K-Means at the same time is non-convex and hence there are many local minimums, we can use brute force to search for the global minimum but of course it is exponential to the number of data points. On the other hand, Lloyd optimizes it (greedily) alternatively, and hence you will find the cost functions' local minima (guaranteed)? submitted by /u/healthymonkey100 [link] [comments]

  • [P] [R] A simplistic UI to edit images with Stable Diffusion and InstructPix2Pix
    by /u/radi-cho (Machine Learning) on February 2, 2023 at 10:06 am

    https://preview.redd.it/ut4us5251rfa1.png?width=2000&format=png&auto=webp&s=dbf79c3832b20287203faa97e5c1303472bdbc22 Currently, the UI supports a picture upload and uses InstructPix2Pix to edit it. Also, it uses upscaling models for quality enhancements. More models are coming soon. The goal is to provide a way for non-ML people to use diffusion-based image editing through simplistic app design. Web demo: https://diffground.com/ submitted by /u/radi-cho [link] [comments]

  • [D] Apple's ane-transformers - experiences?
    by /u/alkibijad (Machine Learning) on February 2, 2023 at 12:04 am

    I'm using Huggingface's transformers regularly for experimentations, but I plan to deploy some of the models to iOS. I have found ml-ane-transformers repo from Apple, which shows how transformers can be rewritten to have much better performance on Apple's devices. There's an example of DistilBERT implemented in that optimized way. As I plan to deploy transformers to iOS, I started thinking about this. I'm hoping some already have experience about this, so we can discuss: Has anyone tried this themselves? Do they actually see the improvements in performance on iOS? I'm using Huggingface's transformer models in my experiments. How much work do you think there is to rewrite model in this optimized way? It's very difficult to train transformers from scratch (especially if they're big 🙂 ), so I'm fine-tuning on top of pre-trained models on Huggingface. Is it possible to use weights from pretrained Huggingface models with the Apple's reference code? How difficult is it? submitted by /u/alkibijad [link] [comments]

  • [N] OpenAI starts selling subscriptions to its ChatGPT bot
    by /u/bikeskata (Machine Learning) on February 1, 2023 at 9:59 pm

    https://www.axios.com/2023/02/01/chatgpt-subscriptions-chatbot-openai Not fully paywalled, but there's a tiering system. submitted by /u/bikeskata [link] [comments]

  • How to decide between Amazon Rekognition image and video API for video moderation
    by Lana Zhang (AWS Machine Learning Blog) on February 1, 2023 at 8:40 pm

    Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments,

  • [R] Extracting Training Data from Diffusion Models
    by /u/pm_me_your_pay_slips (Machine Learning) on February 1, 2023 at 8:29 pm

    https://twitter.com/eric_wallace_/status/1620449934863642624?s=46&t=GVukPDI7944N8-waYE5qcw Extracting training data from diffusion models is possible by following, more or less, these steps: Compute CLIP embeddings for the images in a training dataset. Perform an all-pairs comparison and mark the pairs with l2 distance smaller than some threshold as near duplicates Use the prompts for training samples marked as near duplicates to generate N synthetic samples with the trained model Compute the all-pairs l2 distance between the embeddings of generated samples for a given training prompt. Build a graph where the nodes are generated samples and an edge exists if the l2 distance is less than some threshold. If the largest clique in the resulting graph is of size 10, then the training sample is considered to be memorized. Visually inspect the results to determine if the samples considered to be memorized are similar to the training data samples. With this method, the authors were able to find samples from Stable Diffusion and Imagen corresponding to copyrighted training images. submitted by /u/pm_me_your_pay_slips [link] [comments]

  • Scaling distributed training with AWS Trainium and Amazon EKS
    by Scott Perry (AWS Machine Learning Blog) on February 1, 2023 at 5:52 pm

    Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed training libraries like FSDP and

  • Amazon SageMaker built-in LightGBM now offers distributed training using Dask
    by Xin Huang (AWS Machine Learning Blog) on January 30, 2023 at 6:10 pm

    Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular,

  • Build a water consumption forecasting solution for a water utility agency using Amazon Forecast
    by Dhiraj Thakur (AWS Machine Learning Blog) on January 30, 2023 at 5:59 pm

    Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating supply and demand for inventory management, travel demand forecasting, workforce planning, and computing cloud infrastructure usage. You can use Forecast

  • [D] Simple Questions Thread
    by /u/AutoModerator (Machine Learning) on January 29, 2023 at 4:00 pm

    Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead! Thread will stay alive until next one so keep posting after the date in the title. Thanks to everyone for answering questions in the previous thread! submitted by /u/AutoModerator [link] [comments]

  • Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning
    by Tristan Miller (AWS Machine Learning Blog) on January 26, 2023 at 5:45 pm

    This post is co-authored by Tristan Miller from Best Egg. Best Egg is a leading financial confidence platform that provides lending products and resources focused on helping people feel more confident as they manage their everyday finances. Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed

  • Build a loyalty points anomaly detector using Amazon Lookout for Metrics
    by Dhiraj Thakur (AWS Machine Learning Blog) on January 25, 2023 at 4:19 pm

    Today, gaining customer loyalty cannot be a one-off thing. A brand needs a focused and integrated plan to retain its best customers—put simply, it needs a customer loyalty program. Earn and burn programs are one of the main paradigms. A typical earn and burn program rewards customers after a certain number of visits or spend.

  • Explain text classification model predictions using Amazon SageMaker Clarify
    by Pinak Panigrahi (AWS Machine Learning Blog) on January 25, 2023 at 4:13 pm

    Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers

  • Upscale images with Stable Diffusion in Amazon SageMaker JumpStart
    by Vivek Madan (AWS Machine Learning Blog) on January 25, 2023 at 4:09 pm

    In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Today, we announce a new feature that lets you upscale images (resize images without losing quality) with Stable Diffusion models in JumpStart. An image that is low resolution, blurry, and pixelated can be converted

  • Cohere brings language AI to Amazon SageMaker
    by Sudip Roy (AWS Machine Learning Blog) on January 25, 2023 at 1:32 pm

    It’s an exciting day for the development community. Cohere’s state-of-the-art language AI is now available through Amazon SageMaker. This makes it easier for developers to deploy Cohere’s pre-trained generation language model to Amazon SageMaker, an end-to-end machine learning (ML) service. Developers, data scientists, and business analysts use Amazon SageMaker to build, train, and deploy ML models quickly and easily using its fully managed infrastructure, tools, and workflows.

  • ­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker
    by Christopher Diaz (AWS Machine Learning Blog) on January 20, 2023 at 6:28 pm

    This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez  from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. CCC is a

  • Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK
    by Cory Hairston (AWS Machine Learning Blog) on January 17, 2023 at 8:36 pm

    Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments,

  • Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart
    by Xin Huang (AWS Machine Learning Blog) on January 17, 2023 at 6:49 pm

    Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy can help grow revenue. Customer churn is

  • Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer
    by Jenn Bergstrom (AWS Machine Learning Blog) on January 13, 2023 at 11:46 pm

    This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground

  • How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects
    by Ramdev Wudali (AWS Machine Learning Blog) on January 13, 2023 at 5:26 pm

    This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI

  • Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
    by Vidya Sagar Ravipati (AWS Machine Learning Blog) on January 13, 2023 at 5:23 pm

    This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a

  • Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
    by Olivia Choudhury (AWS Machine Learning Blog) on January 13, 2023 at 5:22 pm

    This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a

  • Multilingual customer support translation made easy on Salesforce Service Cloud using Amazon Translate
    by Mark Lott (AWS Machine Learning Blog) on January 12, 2023 at 5:51 pm

    This post was co-authored with Mark Lott, Distinguished Technical Architect, Salesforce, Inc. Enterprises that operate globally are experiencing challenges sourcing customer support professionals with multi-lingual experience. This process can be cost-prohibitive and difficult to scale, leading many enterprises to only support English for chats. Using human interpreters for translation support is expensive, and infeasible since

  • Redacting PII data at The Very Group with Amazon Comprehend
    by Andy Whittle (AWS Machine Learning Blog) on January 12, 2023 at 5:46 pm

    This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group, which operates digital retailer Very, security is a top priority in handling data for millions of customers. Part of how The Very Group secures and tracks business operations is through activity logging

Download AWS machine Learning Specialty Exam Prep App on iOs

AWS machine learning certification prep
AWS machine learning certification prep

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

AWS Data analytics DAS-C01 Exam Preparation

AWS Data analytics DAS-C01 Exam Prep

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The AWS Data analytics DAS-C01 Exam Prep PRO App is very similar to real exam with a Countdown timer, a Score card.

It also gives users the ability to Show/Hide Answers, learn from Cheat Sheets, Flash Cards, and includes Detailed Answers and References for more than 300 AWS Data Analytics Questions.

Various Practice Exams covering Data Collection, Data Security, Data processing, Data Analysis, Data Visualization, Data Storage and Management,
App preview:

AWS Data Analytics DAS-C01 Exam Prep PRO

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This App provides hundreds of Quizzes covering AWS Data analytics, Data Science, Data Lakes, S3, Kinesis, Lake Formation, Athena, Kibana, Redshift, EMR, Glue, Kafka, Apache Spark, SQL, NoSQL, Python, DynamoDB, DocumentDB,  linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, Data cleansing, ETL, IoT, etc.

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  • Machine Learning Cheat Sheets
  • Python Cheat Sheets
  • SQL Cheat Sheets
  • Data Science and Data analytics cheat sheets


Djamgatech Cloud Education Certification: Eduflix App for Cloud Education and Certification (AWS, Azure, Google Cloud)

Cloud Education and Certification

You can translate the content of this page by selecting a language in the select box.

Do you want to become a Professional DevOps Engineer, a cloud Solutions Architect, a Cloud Engineer or a modern Developer or IT Professional? The Cloud Education Certification android and iOS App is an EduFlix App for AWS, Azure, Google Cloud Certification Preparation to help you achieve your career objectives.

The App covers the following certifications:
AWS Cloud Practitioner, Azure Fundamentals, AWS Solution Architect Associate, AWS Developer Associate, Azure Administrator, Google Associate Cloud Engineer, Data Analytics, Machine Learning.

Use this App to learn and get certified for AWS, Azure and Google Cloud Platform anytime, anywhere from your phone, tablet, computer, online, offline

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Features:
– Practice exams
– 1000+ Q&A updated frequently.
– 3+ Practice exams per Certification
– Scorecard / Scoreboard to track your progress
– Quizzes with score tracking, progress bar, countdown timer.
– Can only see scoreboard after completing the quiz.
– FAQs for most popular Cloud services
– Cheat Sheets
– Flashcards
– works offline

The App covers :
AWS Cloud Practitioner Exam Prep CCP CLF-C01, Azure Fundamentals AZ 900 Exam Prep, AWS Certified Solution Architect Associate SAA-C02 Exam Prep, AWS Certified Developer Associate DVA-C01 Exam Prep, Azure Administrator AZ 104 Exam Prep, Google Associate Cloud Engineer Exam Prep, Data Analytics for AWS DAS-C01, Machine Learning for AWS and Google.

Get the App at the iOS App store here:

The Netflix of Cloud Education and Certification
Cloud Eduflix App

The App covers the following cloud categories:
AWS Technology, AWS Security and Compliance, AWS Cloud Concepts, AWS Billing and Pricing , AWS Design High Performing Architectures, AWS Design Cost Optimized Architectures, AWS Specify Secure Applications And Architectures, AWS Design Resilient Architecture, AWS undifferentiated heavy lifting, Development With AWS, AWS Deployment, AWS Security, AWS Monitoring, AWS Troubleshooting, AWS Refactoring, Azure Pricing and Support, Azure Cloud Concepts , Azure Identity, governance, and compliance, Azure Services , Implement and Manage Azure Storage, Deploy and Manage Azure Compute Resources, Configure and Manage Azure Networking Services, Monitor and Backup Azure Resources, GCP Plan and configure a cloud solution, GCP Deploy and implement a cloud solution, GCP Ensure successful operation of a cloud solution, GCP Configure access and security, GCP Setting up a cloud solution environment, AWS Incident Response, AWS Logging and Monitoring, AWS Infrastructure Security, AWS Identity and Access Management, AWS Data Protection, AWS Data Engineering, AWS Exploratory Data Analysis, AWS Modeling, AWS Machine Learning Implementation and Operations, GCP Frame ML problems, GCP Architect ML solutions, GCP Prepare and process data, GCP Develop ML models, GCP Automate & orchestrate ML pipelines, GCP Monitor, optimize, and maintain ML solutions, etc…

AWS Autoscaling , RDS, Aurora, Route 53, Amazon CodeGuru, Amazon Bracket, AWS Billing and Pricing, Simply Monthly Calculator, cost calculator, Ec2 pricing on-demand, AWS Pricing, Pay As You Go, No Upfront Cost, Cost Explorer, AWS Organizations, Consolidated billing, Instance Scheduler, on-demand instances, Reserved instances, Spot Instances, CloudFront, Workspace, S3 storage classes, Regions, Availability Zones, Placement Groups, lightsail, Redshift, EC2 G4ad instances, EMR, DAAS, PAAS, IAAS, SAAS, Machine Learning, Key Pairs, CloudFormation, Amazon Macie, Textract, Glacier Deep Archive, 99.999999999% durability, Codestar, AWS X-Ray, AWS CUR, AWS Pricing Calculator, Instance metadata, Instance userdata, SNS, Desktop As A Service, EC2 for Mac, Kubernetes, Containers, Cluster, IAM, BigQuery, Bigtable, Pub/Sub, App Engine, SAA undifferentiated heavy lifting, flow logs, Azure Pricing and Support, Azure Cloud Concepts, consumption-based mode, management groups, resources and RG, Geographic distribution concepts such as Azure regions, region pairs, and AZ Internet of Things (IoT) Hub, IoT Central, and Azure Sphere, Azure Synapse Analytics, HDInsight, and Azure Databricks, Azure Machine Learning, Cognitive Services and Azure Bot Service, Serverless computing solutions that include Azure Functions and Logic Apps, Azure DevOps, GitHub, GitHub Actions, and Azure DevTest Labs, Azure Mobile, Azure Advisor, Azure Resource Manager (ARM) templates, Azure Security, Privacy and Workloads, General security and network security, Azure security features, Azure Security Centre, policy compliance, security alerts, secure score, and resource hygiene, Key Vault, Azure Sentinel, Azure Dedicated Hosts, Concept of defense in depth, NSG, Azure Firewall, Azure DDoS protection, Identity, governance, Conditional Access, Multi-Factor Authentication (MFA), and Single Sign-On (SSO),Azure Services, Core Azure architectural components, Management Groups, Azure Resource Manager,
GCP, Virtual Machines, Azure App Services, Azure Container Instances (ACI), Azure Kubernetes Service (AKS), and Windows Virtual Desktop, Virtual Networks, VPN Gateway, Virtual Network peering, and ExpressRoute, CORS, CLI, pod
Container (Blob) Storage, Disk Storage, File Storage, and storage tiers, Cosmos DB, Azure SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, and SQL Managed Instance, Azure Marketplace,

Note and disclaimer: We are not affiliated with AWS, Azure, Microsoft or Google. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

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AWS Certified Solution Architect Associate Prep App

AWS Solution Architect Associate Training and Certification Preparation App

You can translate the content of this page by selecting a language in the select box.

AWS Certified Solutions Architect – Associate  average salary

The AWS Certified Solutions Architect – Associate  average salary is  $149,446/

This blog is about the AWS Certification and Training App for Solution Architect Associate, SAA, SAA-C02, SAA-C03. The AWS Certified Solution Architect Associate Practice Exams Quiz App contain 200+ Questions and Answers updated frequently, detailed answers and references, Quizzes for each exam category, score card for each category and mock exam, Score Tracker, countdown timer, Cheat Sheets, Flash Cards, Training Videos, etc.

AWS Solution Architect Associate Training and Certification Preparation App
AWS Solution Architect Associate Training and Certification Preparation App

AWS Solutions Architect Associates SAA-C02 and SAA-C03 Certification Exam Prep

#AWS #SAAC02 #SAAC03 #SolutionsArchitect #AWSSAA #SAA #AWSCertification #AWSTraining #LearnAWS #CloudArchitect #SolutionsArchitect  #Djamgatech


AWS SAA Exam Prep App on iOs
AWS SAA Exam Prep App on android
AWS SAA Exam Prep App on Windows 10/11

AWS saa SAA-C02 Solutions Architect Associate Exam Preparation PRO
AWS SAA SAA-C02 SAA-C03 Solutions Architect Associate Exam Preparation PRO

Get the AWS  SAA-C02 / SAA-C03 Exam Prep App on:  iOS – AndroidWindows 10/11

AWS Certified Solution Architect Associate Prep App Features:

The app contains questions and answers and resources about:

  • Design High Performing Architectures,
  • Design Cost Optimized Architectures,
  • Design Secure Applications And Architectures,
  • Design Resilient Architecture,
  • Quiz with score tracking, progress bar, countdown timer and highest score savings.
  • Can only see answers after completing the quiz.
  • Show/Hide answers button option after completing quiz in each category.
  • Ability to navigate through questions for each category using next and previous button.
  • Resource info page about the answer for each category and Top 60 Tips to succeed in the exam.
  • Questions and Answers updated frequently.
  • Ability to study and practice from your mobile device with an intuitive interface.
  • SAA-C01 and SAA-C02 compatible

AWS Certified Solution Architect Associate Prep App Videos Previews:

AWS Certified Solution Architect Associate Prep App Urls:

AWS Solution Architect Associate Training and Certification Preparation App
AWS Solution Architect Associate Training and Certification Preparation App

AWS Certified Solution Architect PRO versions for Ios

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AWS Certified Solution Architect PRO versions for Android google

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AWS Certified Solution Architect PRO versions for Windows10/11:


AWS Certified Solution Architect PRO versions for Amazon android:

AWS Certified Solution Architect Associate Prep App Content:

Resources section, Various architectural Questions and Answers about AWS, AWS SDK, EBS Volumes, EC2, S3, KMS, AWS read replicas, CloudFront, Elasticity, Virtual Machines, Caching, Containers, Architecture, AWS Security, Lambda, Bastion Hosts, S3 lifecycle policy, kinesis sharing, AWS EBS Volumes, API Gateway, AWS Snapshots, Auto shutdown Ec2 instances, High Availability, RDS, DynamoDB, Elasticity, AWS Virtual Machines, AWS Caching, AWS Containers, AWS Architecture, Load Balancing, EBS, Multi-AZ RDS, Aurora, EFS, NLB, ALB, Aurora, Auto Scaling, DynamoDB(latency), Aurora(performance), Multi-AZ RDS(high availability), Throughput Optimized EBS (highly sequential), CloudWatch, CloudTrail, ElasticBeanstalk, OpsWorks, RPO vs RTO, HA vs FT, Undifferentiated Heavy Lifting, Access Management Basics, Shared Responsibility Model, Cloud Service Models, etc…

The resources sections cover the following areas: Certification, AWS training, Exam Preparation Tips, Cloud Architect Training, Cloud Architecture Knowledge.

Abilities Validated by the AWS Certified Solution Architect Associate Prep App :

  • Effectively demonstrate knowledge of how to architect and deploy secure and robust applications using AWS technologies
  • Define a solution using architectural design principles based on customer requirements
  • Provide implementation guidance based on best practices to the organization throughout the life cycle of the project

AWS Certified Solution Architect Associate Prep App: Exam Preparation Tips:

0

Read FAQs and learn more about the following topics in details: Load Balancing, DynamoDB, EBS, Multi-AZ RDS, Aurora, EFS, DynamoDB, NLB, ALB, Aurora, Auto Scalling, DynamoDB(latency), Aurora(performance), Multi-AZ RDS(high availability), Throughput Optimized EBS (highly sequential), Read the quizlet note cards about Cloudwatch, CloudTrail, KMS, ElasticBeanstalk, OpsWorks here. Read Dexter’s Barely passed AWS Cram Notes about RPO vs RTO, HA vs FT, Undifferentiated Heavy Lifting, Access Management Basics, Shared Responsibility Model, Cloud Service Models
AWS topics for SAA-CO1 and SAA-CO2

1

Know what instance types can be launched from which types of AMIs, and which instance types require an HVM AMIAWS HVM AMI

2

Understand bastion hosts, and which subnet one might live on. Bastion hosts are instances that sit within your public subnet and are typically accessed using SSH or RDP. Once remote connectivity has been established with the bastion host, it then acts as a ‘jump’ server, allowing you to use SSH or RDP to login to other instances (within private subnets) deeper within your network. When properly configured through the use of security groups and Network ACLs, the bastion essentially acts as a bridge to your private instances via the Internet.”
Bastion Hosts

3

Know the difference between Directory Service’s AD Connector and Simple AD. Use Simple AD if you need an inexpensive Active Directory–compatible service with the common directory features. AD Connector lets you simply connect your existing on-premises Active Directory to AWS.
AD Connector and Simple AD

4

Know how to enable cross-account access with IAM: To delegate permission to access a resource, you create an IAM role that has two policies attached. The permissions policy grants the user of the role the needed permissions to carry out the desired tasks on the resource. The trust policy specifies which trusted accounts are allowed to grant its users permissions to assume the role. The trust policy on the role in the trusting account is one-half of the permissions. The other half is a permissions policy attached to the user in the trusted account that allows that user to switch to, or assume the role.
Enable cross-account access with IAM

5

Have a good understanding of how Route53 supports all of the different DNS record types, and when you would use certain ones over others.
Route 53 supports all of the different DNS record types

6

Know which services have native encryption at rest within the region, and which do not.
AWS Services with native Encryption at rest

7

Know which services allow you to retain full admin privileges of the underlying EC2 instances
EC2 Full admin privilege

8

Know When Elastic IPs are free or not: If you associate additional EIPs with that instance, you will be charged for each additional EIP associated with that instance per hour on a pro rata basis. Additional EIPs are only available in Amazon VPC. To ensure efficient use of Elastic IP addresses, we impose a small hourly charge when these IP addresses are not associated with a running instance or when they are associated with a stopped instance or unattached network interface.
When are AWS Elastic IPs Free or not?

9

Know what are the four high level categories of information Trusted Advisor supplies.
#AWS Trusted advisor

10

Know how to troubleshoot a connection time out error when trying to connect to an instance in your VPC. You need a security group rule that allows inbound traffic from your public IP address on the proper port, you need a route that sends all traffic destined outside the VPC (0.0.0.0/0) to the Internet gateway for the VPC, the network ACLs must allow inbound and outbound traffic from your public IP address on the proper port, etc.
#AWS Connection time out error

11

Be able to identify multiple possible use cases and eliminate non-use cases for SWF.
#AWS

12

Understand how you might set up consolidated billing and cross-account access such that individual divisions resources are isolated from each other, but corporate IT can oversee all of it.
#AWS Set up consolidated billing

13

Know how you would go about making changes to an Auto Scaling group, fully understanding what you can and can’t change. “You can only specify one launch configuration for an Auto Scaling group at a time, and you can’t modify a launch configuration after you’ve created it. Therefore, if you want to change the launch configuration for your Auto Scaling group, you must create a launch configuration and then update your Auto Scaling group with the new launch configuration. When you change the launch configuration for your Auto Scaling group, any new instances are launched using the new configuration parameters, but existing instances are not affected.
#AWS Make Change to Auto Scaling group

14

Know how you would go about making changes to an Auto Scaling group, fully understanding what you can and can’t change. “You can only specify one launch configuration for an Auto Scaling group at a time, and you can’t modify a launch configuration after you’ve created it. Therefore, if you want to change the launch configuration for your Auto Scaling group, you must create a launch configuration and then update your Auto Scaling group with the new launch configuration. When you change the launch configuration for your Auto Scaling group, any new instances are launched using the new configuration parameters, but existing instances are not affected.
#AWS Make Change to Auto Scaling group

15

Know which field you use to run a script upon launching your instance.
#AWS User data script

16

Know how DynamoDB (durable, and you can pay for strong consistency), Elasticache (great for speed, not so durable), and S3 (eventual consistency results in lower latency) compare to each other in terms of durability and low latency.
#AWS DynamoDB consistency

17

Know the difference between bucket policies, IAM policies, and ACLs for use with S3, and examples of when you would use each. “With IAM policies, companies can grant IAM users fine-grained control to their Amazon S3 bucket or objects while also retaining full control over everything the users do. With bucket policies, companies can define rules which apply broadly across all requests to their Amazon S3 resources, such as granting write privileges to a subset of Amazon S3 resources. Customers can also restrict access based on an aspect of the request, such as HTTP referrer and IP address. With ACLs, customers can grant specific permissions (i.e. READ, WRITE, FULL_CONTROL) to specific users for an individual bucket or object.
#AWS Difference between bucket policies

18

Know when and how you can encrypt snapshots.
#AWS EBS Encryption

19

Understand how you can use ELB cross-zone load balancing to ensure even distribution of traffic to EC2 instances in multiple AZs registered with a load balancer.
#AWS ELB cross-zone load balancing

20

How would you allow users to log into the AWS console using active directory integration. Here is a link to some good reference material.
#AWS og into the AWS console using active directory integration

21

Spot instances are good for cost optimization, even if it seems you might need to fall back to On-Demand instances if you wind up getting kicked off them and the timeline grows tighter. The primary (but still not only) factor seems to be whether you can gracefully handle instances that die on you–which is pretty much how you should always design everything, anyway!
#AWS Spot instances

22

The term “use case” is not the same as “function” or “capability”. A use case is something that your app/system will need to accomplish, not just behaviour that you will get from that service. In particular, a use case doesn’t require that the service be a 100% turnkey solution for that situation, just that the service plays a valuable role in enabling it.
#AWS use case

23

There might be extra, unnecessary information in some of the questions (red herrings), so try not to get thrown off by them. Understand what services can and can’t do, but don’t ignore “obvious”-but-still-correct answers in favour of super-tricky ones.
#AWS Exam Answers: Distractors

24

If you don’t know what they’re trying to ask, in a question, just move on and come back to it later (by using the helpful “mark this question” feature in the exam tool). You could easily spend way more time than you should on a single confusing question if you don’t triage and move on.
#AWS Exa: Skip Questions that are vague and come back to them later

25

Some exam questions required you to understand features and use cases of: VPC peering, cross-account access, DirectConnect, snapshotting EBS RAID arrays, DynamoDB, spot instances, Glacier, AWS/user security responsibilities, etc.
#AWS

26

The 30 Day constraint in the S3 Lifecycle Policy before transitioning to S3-IA and S3-One Zone IA storage classes
#AWS S3 lifecycle policy

27

Enabling Cross-region snapshot copy for an AWS KMS-encrypted cluster
Redis Auth / Amazon MQ / IAM DB Authentication

#AWS Cross-region snapshot copy for an AWS KMS-encrypted cluster

28

Know that FTP is using TCP and not UDP (Helpful for questions where you are asked to troubleshoot the network flow)
TCP and UDP

29

Know the Difference between S3, EBS and EFS
#AWS Difference between S3, EBS and EFS

30

Kinesis Sharding:
#AWS Kinesis Sharding

31

Handling SSL Certificates in ELB ( Wildcard certificate vs SNI )
#AWS Handling SSL Certificates in ELB ( Wildcard certificate vs SNI )

32

Difference between OAI, Signed URL (CloudFront) and Pre-signed URL (S3)
#AWS Difference between OAI, Signed URL (CloudFront) and Pre-signed URL (S3)

33

Different types of Aurora Endpoints
#AWS Different types of Aurora Endpoints

34

The Default Termination Policy for Auto Scaling Group (Oldest launch configuration vs Instance Protection)
#AWS Default Termination Policy for Auto Scaling Group

35

Watch Acloud Guru Videos Lectures while commuting / lunch break – Reschedule the exam if you are not yet ready
#AWS ACloud Guru

36

Watch Linux Academy Videos Lectures while commuting / lunch break – Reschedule the exam if you are not yet ready
#AWS Linux Academy

37

Watch Udemy Videos Lectures while commuting / lunch break – Reschedule the exam if you are not yet ready
#AWS Linux Academy

38

The Udemy practice test interface is good that it pinpoints your weak areas, so what I did was to re-watch all the videos that I got the wrong answers. Since I was able to gauge my exam readiness, I decided to reschedule my exam for 2 more weeks, to help me focus on completing the practice tests.
#AWS Udemy

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Use AWS Cheatsheets – I also found the cheatsheets provided by Tutorials Dojo very helpful. In my opinion, it is better than Jayendrapatil Patil’s blog since it contains more updated information that complements your review notes.
#AWS Cheat Sheet

40

Watch this exam readiness 3hr video, it very recent webinar this provides what is expected in the exam.
#AWS Exam Prep Video

41

Start off watching Ryan’s videos. Try and completely focus on the hands on. Take your time to understand what you are trying to learn and achieve in those LAB Sessions.
#AWS Exam Prep Video

42

Do not rush into completing the videos. Take your time and hone the basics. Focus and spend a lot of time for the back bone of AWS infrastructure – Compute/EC2 section, Storage (S3/EBS/EFS), Networking (Route 53/Load Balancers), RDS, VPC, Route 3. These sections are vast, with lot of concepts to go over and have loads to learn. Trust me you will need to thoroughly understand each one of them to ensure you pass the certification comfortably.
#AWS Exam Prep Video

43

Make sure you go through resources section and also AWS documentation for each components. Go over FAQs. If you have a question, please post it in the community. Trust me, each answer here helps you understand more about AWS.
#AWS Faqs

44

Like any other product/service, each AWS offering has a different flavor. I will take an example of EC2 (Spot/Reserved/Dedicated/On Demand etc.). Make sure you understand what they are, what are the pros/cons of each of these flavors. Applies for all other offerings too.
#AWS Services

45

Ensure to attend all quizzes after each section. Please do not treat these quizzes as your practice exams. These quizzes are designed to mostly test your knowledge on the section you just finished. The exam itself is designed to test you with scenarios and questions, where in you will need to recall and apply your knowledge of different AWS technologies/services you learn over multiple lectures.
#AWS Services

46

I, personally, do not recommend to attempt a practice exam or simulator exam until you have done all of the above. It was a little overwhelming for me. I had thoroughly gone over the videos. And understood the concepts pretty well, but once I opened exam simulator I felt the questions were pretty difficult. I also had a feeling that videos do not cover lot of topics. But later I realized, given the vastness of AWS Services and offerings it is really difficult to encompass all these services and their details in the course content. The fact that these services keep changing so often, does not help
#AWS Services

47

Go back and make a note of all topics, that you felt were unfamiliar for you. Go through the resources section and fiund links to AWS documentation. After going over them, you shoud gain at least 5-10% more knowledge on AWS. Have expectations from the online courses as a way to get thorough understanding of basics and strong foundations for your AWS knowledge. But once you are done with videos. Make sure you spend a lot of time on AWS documentation and FAQs. There are many many topics/sub topics which may not be covered in the course and you would need to know, atleast their basic functionalities, to do well in the exam.
#AWS Services

48

Once you start taking practice exams, it may seem really difficult at the beginning. So, please do not panic if you find the questions complicated or difficult. IMO they are designed or put in a way to sound complicated but they are not. Be calm and read questions very carefully. In my observation, many questions have lot of information which sometimes is not relevant to the solution you are expected to provide. Read the question slowly and read it again until you understand what is expected out of it.
#AWS Services

49

With each practice exam you will come across topics that you may need to scale your knowledge on or learn them from scratch.
#AWS Services

50

With each test and the subsequent revision, you will surely feel more confident.
There are 130 mins for questions. 2 mins for each question which is plenty of time.
At least take 8-10 practice tests. The ones on udemy/tutorialdojo are really good. If you are a acloudguru member. The exam simulator is really good.
Manage your time well. Keep patience. I saw someone mention in one of the discussions that do not under estimate the mental focus/strength needed to sit through 130 mins solving these questions. And it is really true.
Do not give away or waste any of those precious 130 mins. While answering flag/mark questions you think you are not completely sure. My advice is, even if you finish early, spend your time reviewing the answers. I could review 40 of my answers at the end of test. And I at least rectified 3 of them (which is 4-5% of total score, I think)
So in short – Put a lot of focus on making your foundations strong. Make sure you go through AWS Documentation and FAQs. Try and envision how all of the AWS components can fit together and provide an optimal solution. Keep calm.
This video gives outline about exam, must watch before or after Ryan’s course. #AWS Services

51

Walking you through how to best prepare for the AWS Certified Solutions Architect Associate SAA-C02 exam in 5 steps:
1. Understand the exam blueprint
2. Learn about the new topics included in the SAA-C02 version of the exam
3. Use the many FREE resources available to gain and deepen your knowledge
4. Enroll in our hands-on video course to learn AWS in depth
5. Use practice tests to fully prepare yourself for the exam and assess your exam readiness
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

52

Storage:
1. Know your different Amazon S3 storage tiers! You need to know the use cases, features and limitations, and relative costs; e.g. retrieval costs.
2. Amazon S3 lifecycle policies is also required knowledge — there are minimum storage times in certain tiers that you need to know.
3. For Glacier, you need to understand what it is, what it’s used for, and what the options are for retrieval times and fees.
4. For the Amazon Elastic File System (EFS), make sure you’re clear which operating systems you can use with it (just Linux).
5. For the Amazon Elastic Block Store (EBS), make sure you know when to use the different tiers including instance stores; e.g. what would you use for a datastore that requires the highest IO and the data is distributed across multiple instances? (Good instance store use case)
6. Learn about Amazon FSx. You’ll need to know about FSx for Windows and Lustre.
7. Know how to improve Amazon S3 performance including using CloudFront, and byte-range fetches — check out this whitepaper.
8. Make sure you understand about Amazon S3 object deletion protection options including versioning and MFA delete.
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

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Compute:
1. You need to have a good understanding of the options for how to scale an Auto Scaling Group using metrics such as SQS queue depth, or numbers of SNS messages.
2. Know your different Auto Scaling policies including Target Tracking Policies.
3. Read up on High Performance Computing (HPC) with AWS. You’ll need to know about Amazon FSx with HPC use cases.
4. Know your placement groups. Make sure you can differentiate between spread, cluster and partition; e.g. what would you use for lowest latency? What about if you need to support an app that’s tightly coupled? Within an AZ or cross AZ?
5. Make sure you know the difference between Elastic Network Adapters (ENAs), Elastic Network Interfaces (ENIs) and Elastic Fabric Adapters (EFAs).
6. For the Amazon Elastic Container Service (ECS), make sure you understand how to assign IAM policies to ECS for providing S3 access. How can you decouple an ECS data processing process — Kinesis Firehose or SQS?
7. Make sure you’re clear on the different EC2 pricing models including Reserved Instances (RI) and the different RI options such as scheduled RIs.
8. Make sure you know the maximum execution time for AWS Lambda (it’s currently 900 seconds or 15 minutes).
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

54

Network
1. Understand what AWS Global Accelerator is and its use cases.
2. Understand when to use CloudFront and when to use AWS Global Accelerator.
3. Make sure you understand the different types of VPC endpoint and which require an Elastic Network Interface (ENI) and which require a route table entry.
4. You need to know how to connect multiple accounts; e.g. should you use VPC peering or a VPC endpoint?
5. Know the difference between PrivateLink and ClassicLink.
6. Know the patterns for extending a secure on-premises environment into AWS.
7. Know how to encrypt AWS Direct Connect (you can use a Virtual Private Gateway / AWS VPN).
8. Understand when to use Direct Connect vs Snowball to migrate data — lead time can be an issue with Direct Connect if you’re in a hurry.
9. Know how to prevent circumvention of Amazon CloudFront; e.g. Origin Access Identity (OAI) or signed URLs / signed cookies.
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

55

Databases
1. Make sure you understand Amazon Aurora and Amazon Aurora Serverless.
2. Know which RDS databases can have Read Replicas and whether you can read from a Multi-AZ standby.
3. Know the options for encrypting an existing RDS database; e.g. only at creation time otherwise you must encrypt a snapshot and create a new instance from the snapshot.
4. Know which databases are key-value stores; e.g. Amazon DynamoDB.
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

56

Application Integration
1. Make sure you know the use cases for the Amazon Simple Queue Service (SQS), and Simple Notification Service (SNS).
2. Understand the differences between Amazon Kinesis Firehose and SQS and when you would use each service.
3. Know how to use Amazon S3 event notifications to publish events to SQS — here’s a good “How To” article.
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

57

Management and Governance
1. You’ll need to know about AWS Organizations; e.g. how to migrate an account between organizations.
2. For AWS Organizations, you also need to know how to restrict actions using service control policies attached to OUs.
3. Understand what AWS Resource Access Manager is.
AWS CERTIFIED SOLUTIONS ARCHITECT SAA-C02 : HOW TO BEST PREPARE IN 5 STEPS

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Jon Bonso list of helpful exam prep materials that you can use.
1. The official AWS SAA-C02 Certification Exam page.
2. The official AWS Exam Guide.
3. The official AWS Sample Questions
4. The official AWS Ramp-Up Guide: Architect PDF
5. Tutorials Dojo SAA-C02 Study Guide
6. Udemy Practice Exams
7. New AWS Services to prepare for:AWS Global Accelerator
8. New AWS Services to prepare for: Elastic Fabric Adapter — Amazon Web Services
9. New AWS Services to prepare for: AWS ParallelCluster – Amazon Web Services
10. New AWS Services to prepare for: Amazon FSx File Storage
Pass your SAA-C02 (AWS Solutions Architect Associate) exam with these Top 5 Resources

Other AWS Certified Solution Architect Associate Prep App

AWS Certified Solution Architect Associate Prep App: Additional Information for reference

Get the AWS SAA SAA-C02 SAA-C03 Exam Prep App oniOS – AndroidWindows 10/11

Below are some useful reference links that would help you to learn about AWS Practitioner Exam.

AWS Certified Solution Architect Associate Prep: Whitepapers:

AWS has provided whitepapers to help you understand the technical concepts. Below are the recommended whitepapers.

Note and disclaimer: We are not affiliated with AWS or Amazon or Microsoft or Google. The questions are put together based on the certification study guide and materials available online. We also receive questions and answers from anonymous users and we vet to make sure they are legitimate. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

AWS Solution Architect Associate Training and Certification Preparation App
AWS Solution Architect Associate Training and Certification Preparation App

Get the AWS SAA SAA-C02 SAA-C03 Exam Prep App oniOS – AndroidWindows 10/11


AWS Certified Cloud Practitioner Exam Prep App

AWS Certified Cloud Practitioner CLF-C01 Training and Certification Prep

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AWS CCP clf-c01 certified cloud practitioner exam prep PRO
AWS CCP clf-c01 certified cloud practitioner exam prep PRO

The AWS Certified Cloud Practitioner average salary is — $131,465/year

What is the AWS Certified Cloud Practitioner Exam?

The AWS Certified Cloud Practitioner Exam (CLF-C01) is an introduction to AWS services and the intention is to examine the candidates ability to define what the AWS cloud is and its global infrastructure. It provides an overview of AWS core services security aspects, pricing and support services. The main objective is to provide an overall understanding about the Amazon Web Services Cloud platform. The course helps you get the conceptual understanding of the AWS and can help you know about the basics of AWS and cloud computing, including the services, cases and benefits.

Buy Access to full 2022 AWS CCP CLF-C01 Practice Exam Video below:

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 AWS CCP CLF-C01 on Windows 10/11

To succeed with the real exam, do not memorize the answers below. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

This AWS Certified Cloud Practitioner Exam Prep App (CCP, CLF-C01) helps you prepare and train for the AWS Certified Cloud Practitioner Exam with mock exams and various questions and answers.
You can use the AWS Certified Cloud Practitioner Exam Prep App to study anytime, anywhere from your phone, tablet, computer.

AWS Certified Cloud Practitioner Exam Prep App Features:


#AWS #CCP #CloudPRactitioner #AWSTraining #AWSCCP #CLFC01 #AWSPractitioner #AmazonCloud #Djamgatech #AWSCertification #LearnAWS #AWSCloud 

AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep on ios
AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep on android (Use this promo code : K7CSUT6K79VESBP152PD8MR )
AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep on Windows 10/11

AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep Custom page

  • 3 Mock exams
  • 200+ Questions and Answers updated frequently.
  • Score card
  • Illustrated
  • Quizzes with score tracking, progress bar, countdown timer and highest score savings.
  • Can only see answers and score card after completing the quiz.
  • Show/Hide button option for answers
  • Questions and Answers updated frequently.
  • Navigate through questions using next and previous button.
  • CLF-C01 compatible
  • AWS CCP Training
  • AWS vs Azure vs Google Cloud
  • Resource info page.
  • Study and practice from your mobile device with an intuitive interface.
    The questions and Answers are divided in 4 categories: Technology, Security and Compliance, Cloud Concepts, Billing and Pricing.


#AWS #CCP #CloudPRactitioner #AWSTraining #AWSCCP #CLFC01 #AWSPractitioner #AmazonCloud #Djamgatech #AWSCertification #LearnAWS #AWSCloud 

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AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep on Windows 10/11 (Use this promo code for 25 % off : DJAMGATECH_CCP2022 )

AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep Custom page

AWS Certified Cloud Practitioner Exam Prep App Videos Preview:

The AWS Certified Cloud Practitioner Exam Prep App is available worldwide at various App stores:

AWS Certified Cloud Practitioner PRO Versions for ios:

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AWS Certified Cloud Practitioner PRO Versions for Amazon android:

AWS Certified Cloud Practitioner PRO Versions for Windows 10/Microsoft:

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AWS Certified Cloud Practitioner Exam Prep App Benefits:

After successfully taking all mock exams and quizzes in this app, you should be able to:

  • Explain the value of the AWS Cloud.
  • Understand and explain the AWS shared responsibility model.
  • Understand AWS Cloud security best practices.
  • Understand AWS Cloud costs, economics, and billing practices.
  • Describe and position the core AWS services, including compute, network, databases, and storage.
  • Identify AWS services for common use cases.

Abilities Validated by the Certification using theAWS Certified Cloud Practitioner Exam Prep App :

  • Define what the AWS Cloud is and the basic global infrastructure
  • Describe basic AWS Cloud architectural principles
  • Describe the AWS Cloud value proposition
  • Describe key services on the AWS platform and their common use cases
  • Describe basic security and compliance aspects of the AWS platform and the shared security model
  • Define the billing, account management, and pricing models
  • Identify sources of documentation or technical assistance
  • Describe basic/core characteristics of deploying and operating in the AWS Cloud

After successfully taking all mock exams and quizzes in this app, you should be able to:

  • Explain the value of the AWS Cloud.
  • Understand and explain the AWS shared responsibility model.
  • Understand AWS Cloud security best practices.
  • Understand AWS Cloud costs, economics, and billing practices.
  • Describe and position the core AWS services, including compute, network, databases, and storage.
  • Identify AWS services for common use cases.

Note and disclaimer: We are not affiliated with AWS or Amazon or Microsoft or Google. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

AWS Certified Cloud Practitioner Exam Prep App Content:

The quizzes and mock exams cover the following topics: VPC, S3, DynamoDB, EC2, ECS, Lambda, API Gateway, CloudWatch, CloudTrail, Code Pipeline, Code Deploy, TCO Calculator, SES, EBS, ELB, AWS Autoscaling , RDS, Aurora, Route 53, Amazon CodeGuru, Amazon Bracket, AWS Billing and Pricing, Simply Monthly Calculator, cost calculator, Ec2 pricing on-demand, AWS Pricing, Pay As You Go, No Upfront Cost, Cost Explorer, AWS Organizations, Consolidated billing, Instance Scheduler, on-demand instances, Reserved instances, Spot Instances, CloudFront, Web hosting on S3, S3 storage classes, Regions, Availability Zones,

The resources sections cover the following areas: AWS Certification, AWS training, Cloud Technology, CCP new version, cloud certification, cloud exam preparation tips, cloud practitioner exam questions, amazon cloud practitioner, amazon cloud practitioner exam questions, certification dumps, google cloud, azure cloud, cloud comparison, CLF-C01, cloud practitioner exam, aws certified cloud practitioner study guide, aws certified cloud practitioner white papers, aws whitepapers cloud practitioner, cloud practitioner exam guide, aws cloud practitioner exam review, aws cloud practitioner preparation, aws cloud practitioner study guide, aws cloud practitioner jobs, aws certified cloud practitioner jobs.

AWS Certified Cloud Practitioner Exam Whitepapers:

AWS has provided whitepapers to help you understand the technical concepts. Below are the recommended whitepapers.

Online Training and Labs for AWS Cloud Certified Practitioner Exam

Additional Information for reference

Below are some useful reference links that would help you to learn about AWS Practitioner Exam.

AWS Certified Cloud Practitioner Exam Prep App Resources

1-AWS Route 53
Route 53 is a domain name system service by AWS. When a Disaster does occur , it can be easy to switch to secondary sites using the Route53 service. Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Amazon Route 53 is fully compliant with IPv6 as well.-

AWS CloudWatch

CloudWatch is used to collect, view, and track metrics for resources (such as EC2 instances) in your AWS account.

AWS Elasticache
ElastiCache is a web service that makes it easy to set up, manage, and scale a distributed in-memory data store or cache environment in the cloud. It provides a high-performance, scalable, and cost-effective caching solution, while removing the complexity associated with deploying and managing a distributed cache environment. Redis and Memcached are popular, open-source, in-memory data stores. Although they are both easy to use and offer high performance, there are important differences to consider when choosing an engine. Memcached is designed for simplicity while Redis offers a rich set of features that make it effective for a wide range of use cases. Understand your requirements and what each engine offers to decide which solution better meets your needs

Difference between RDS and DynamoDB
RDS is a SQL database service (that offers several database engine options), and DynamoDB is a NoSQL database option that only offers one NoSQL engine

High Availability
High availability refers to the concept that something will be accessible when you try to access it. An object or web application is “highly available” when it is accessible a vast majority of the time.

Cost optimization, Automating, Elasticity
Elasticity (think of a rubber band) defines a system that can easily (and cost-effectively) grow and shrink based on required demand.

Designing fault tolerant applications
Fault tolerance describes the concept of a system (in our case a web application) to have failure in some of its components and still remain accessible (highly available). Fault tolerant web applications will have at least two web servers (in case one fails).

AWS
AWS is defined as a cloud services provider. They provide hundreds of services of which compute and storage are included (not not limited to).

AWS s3 and AWS EBS
Amazon S3 is a Object storage built to store and retrieve any amount of data from anywhere. Amazon Elastic Block Store is a Persistent block storage for Amazon EC2

AWS EC2
AWS EC2 can be used to host virtual servers on AWS.

Uploading an archive in AWS
The AWS Console cannot be used to upload data onto Glacier. The console can only be used to create a Glacier vault which can be used to upload the data.

AWS Ec2
If you want a self-managed database, that means you want complete control over the database engine and the underlying infrastructure. In such a case you need to host the database on an EC2 Instance.

AWS tools
AWS SDK can be plugged in for various programming languages. Using the SDK you can then call the required AWS services.

AWS EBS Volumes
When you create an EBS volume in an Availability Zone, it is automatically replicated within that zone to prevent data loss due to failure of any single hardware component.

AWS read replicas
You can reduce the load on your source DB Instance by routing read queries from your applications to the read replica. Read replicas allow you to elastically scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads.

AWS EC2 Spot Instances
When you think of cost effectiveness, you can either have to choose Spot or Reserved instances. Now when you have a regular processing job, the best is to use spot instances and since your application is designed recover gracefully from Amazon EC2 instance failures, then even if you lose the Spot instance , there is no issue because your application can recover.

AWS Elasticache
Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases.

AWS Disaster Recovery
The following figure shows a spectrum for the four scenarios, arranged by how quickly a system can be available to users after a DR event: Backup & Restore -> Pilot Light -> Warm Standby -> Multi SIte

AWS DynamoDB
DynamoDB does not use/support other NoSQL database engines. You only have access to use DynamoDB’s built-in engine.

AWS Redshift
Redshift is a database offering that is fully-managed and used for data warehousing and analytics, including compatibility with existing business intelligence tools.

AWS S3 Storage Classes
S3 Standard Storage class has a rating of 99.999999999% durability (referred to as 11 nines) and 99.99% availability.

AWS storage-classes
The Standard storage class should be used for files that you access on a daily or very frequent basis.

AWS SQS
Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly-scalable hosted queue for storing messages as they travel between applications or microservices. It moves data between distributed application components and helps you decouple these components.

AWS Reserved Instances
Reserved instances are the best choice for instances with continuous usage and offer a reduced cost because you purchase the instance for the entire year.Amazon EC2 Reserved Instances (RI) provide a significant discount (up to 75%) compared to On-Demand pricing and provide a capacity reservation when used in a specific Availability Zone.

AWS CloudFront
Lambda@Edge lets you run Lambda functions to customize the content that CloudFront delivers, executing the functions in AWS locations closer to the viewer.
Amazon CloudFront is a web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations. When a user requests content that you’re serving with CloudFront, the user is routed to the edge location that provides the lowest latency (time delay), so that content is delivered with the best possible performance.
CloudFront speeds up the distribution of your content by routing each user request through the AWS backbone network to the edge location that can best serve your content. Typically, this is a CloudFront edge server that provides the fastest delivery to the viewer. Using the AWS network dramatically reduces the number of networks that your users’ requests must pass through, which improves performance. Users get lower latency—the time it takes to load the first byte of the file—and higher data transfer rates.
You also get increased reliability and availability because copies of your files (also known as objects) are now held (or cached) in multiple edge locations around the world.

AWS EC2 Instance info and details
How to get information about Ec2 instance type?

What load balancing options does the Elastic Load Balancing service offer?
Elastic Load Balancing offers two types of load balancers that both feature high availability, automatic scaling, and robust security. These include the Classic Load Balancer that routes traffic based on either application or network level information, and the Application Load Balancer that routes traffic based on advanced application level information that includes the content of the request.

How many instances can I run in Amazon EC2?
You are limited to running up to a total of 20 On-Demand instances across the instance family, purchasing 20 Reserved Instances, and requesting Spot Instances per your dynamic Spot limit per region.

AWS Elasticache
Redis, MemcacheD

CloudWatch
CloudWatch is used to collect, view, and track metrics for resources (such as EC2 instances) in your AWS account.

Edge Locations
With Lambda@Edge you can easily run your code across AWS locations globally, allowing you to respond to your end users at the lowest latency and allowing you to personalize content.

AWS Certified Cloud Practitioner CLF-C01 Training and Certification Prep
AWS Certified Cloud Practitioner CLF-C01 Training and Certification Prep


#AWS #CCP #CloudPRactitioner #AWSTraining #AWSCCP #CLFC01 #AWSPractitioner #AmazonCloud #Djamgatech #AWSCertification #LearnAWS #AWSCloud 

AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep on ios (Use this promo code for 25 % off: DJAMGATECH_CCP2022)
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AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep Custom page

AWS Developer Certification Exam Prep App

aws certified developer associate

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Are you looking to pass the AWS Certified Developer Associate exam? Then you need the AWS Certified Developer Associates DVA-C01 Exam Preparation App. This app is packed with everything you need to pass the exam, including practice exams, quizzes, mock exams, flash cards, cheat sheets, and more.

The app covers all the topics you need to know for the exam, including Development With AWS, Deployment, Security, Monitoring, Troubleshooting, Refactoring. You’ll be well-prepared to ace the exam with this app by your side.

Plus, you’ll get access to AWS recommended security best practices, FAQs, cheat sheets, and more. And with our score tracker and countdown timer, you can track your progress and stay on schedule. Best of all, our app is multilingual, so you can prepare in your native language.

Thousands of satisfied customers have passed the DVA-C01 exam with our app.

This blog is about the AWS Developer Certification Exam Prep App: Developer Associate Exam Prep, Mock Exams, Quizzes, Tips to succeed in the AWS Developer Certification Exam.

This AWS Cloud Training App provides tools and features essentials to prepare and succeed in the AWS Certified Developer Associate Exam:

  • 3 Mock Exams,
  • 4 Quizzes (30+ Questions per Quiz),
  • Score card for quizzes and mock exams
  • Score Tracker,
  • Detailed Answers and Reference for each Question
  • Countdown timer,
  • Questions and Answers for Development With AWS, Deployment, Monitoring, Troubleshooting, Refactoring.

AWS Developer Certification Exam Prep App Preview Videos:

The AWS Developer Certification Exam Prep App is available for all platforms and in most app stores worldwide:

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AWS Developer Associates PRO version with mock exam android

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AWS Developer Associates Free version PWA/Web:

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AWS Developer Certification Exam Prep App Content:

The App covers the following topics:

  • Use AWS Cheatsheets – I also found the cheatsheets provided by Tutorials Dojo very helpful. In my opinion, it is better than Jayendrapatil Patil’s blog since it contains more updated information that complements your review notes.
    #AWS Cheat Sheet
  • Do not rush into completing the videos. Take your time and hone the basics. Focus and spend a lot of time for the back bone of AWS infrastructure – Compute/EC2 section, Storage (S3/EBS/EFS), Networking (Route 53/Load Balancers), RDS, VPC, Route 3. These sections are vast, with lot of concepts to go over and have loads to learn. Trust me you will need to thoroughly understand each one of them to ensure you pass the certification comfortably.
    #AWS Exam Prep Video
  • Make sure you go through resources section and also AWS documentation for each components. Go over FAQs. If you have a question, please post it in the community. Trust me, each answer here helps you understand more about AWS.
    #AWS Faqs
  • Like any other product/service, each AWS offering has a different flavor. I will take an example of EC2 (Spot/Reserved/Dedicated/On Demand etc.). Make sure you understand what they are, what are the pros/cons of each of these flavors. Applies for all other offerings too.
    #AWS Services

What is the AWS Certified Developer Associate Exam?

The AWS Certified Developer – Associate examination is intended for individuals who perform a development role and have one or more years of hands-on experience developing and maintaining an AWS-based application. It validates an examinee’s ability to:
Demonstrate an understanding of core AWS services, uses, and basic AWS architecture best practicesDemonstrate proficiency in developing, deploying, and debugging cloud-based applications using AWS

Other AWS Developer Certification Exam Preparation Resources:

Additional Information for reference

Below are some useful reference links that would help you to learn about AWS Practitioner Exam.

AWS Developer Associate Exam Whitepapers:

AWS has provided whitepapers to help you understand the technical concepts. Below are the recommended whitepapers.

Online Training and Labs for AWS Certified Developer Associate Exam

AWS Certified Developer Associate Jobs

Note and disclaimer: We are not affiliated with AWS or Amazon or Microsoft or Google. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.