8 of the 30 questions in this set, with the correct answer marked and every option explained.
1. Which AWS service provides a fully managed platform to build, train, and deploy machine learning models at scale?
✗Amazon Rekognition
A pre-trained vision API you call for image and video analysis. You consume its models rather than building your own.
✗AWS Lambda
Serverless functions for short-lived event-driven code. No training capability, and execution limits rule out anything but the lightest inference.
✓Amazon SageMaker
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning models quickly at any scale.
✗Amazon Comprehend
A managed NLP service exposing Amazon's own models for sentiment, entities and key phrases. Again a service you call, not a platform for your own models.
2. Which AWS service can be used to add image and video analysis to your applications?
✗Amazon Translate
Neural machine translation between languages. Text in, text out.
✓Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to applications. It can identify objects, people, text, scenes, and activities.
✗Amazon Lex
Builds conversational interfaces from voice and text input. It handles dialogue, not pixels.
✗Amazon Polly
Synthesises speech from written text. Audio output, no visual analysis.
3. Which of the following AWS services is used for building conversational interfaces using voice and text?
✗Amazon Translate
Converts text between languages. It carries no notion of intent or dialogue state.
✓Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text.
✗Amazon Comprehend
Extracts sentiment, entities and key phrases from text. It analyses language without conversing.
✗Amazon Transcribe
Turns spoken audio into text. It would supply the words to a bot but manages no conversation itself.
4. Which AWS service provides natural language processing (NLP) for insights and relationships in text?
✗Amazon SageMaker
The platform for building and training custom models. You could train an NLP model on it, but the question asks for the managed service that provides NLP out of the box.
✗Amazon Translate
Translates between languages. It moves meaning across languages rather than extracting insight from it.
✓Amazon Comprehend
Amazon Comprehend uses NLP to find insights and relationships in text, such as sentiment analysis and entity recognition.
✗Amazon Polly
Text-to-speech synthesis. It reads text aloud without analysing what the text means.
5. What is the primary function of Amazon Transcribe?
✓Converting speech to text
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capabilities to applications.
✗Converting text to speech
That is Amazon Polly, which runs in the opposite direction.
✗Analyzing sentiment in text
A Comprehend capability. Transcribe produces the text; understanding its tone is a separate step.
✗Translating text between languages
Amazon Translate's role. Transcribe does offer real-time translation in some configurations, but its core function is turning speech into text.
6. Which AWS service helps in orchestrating machine learning pipelines for deploying models into production?
✗AWS Glue
Serverless ETL with its own workflow feature for chaining crawlers and jobs. It orchestrates data preparation, which stops where model training begins.
✓Amazon SageMaker Pipelines
Amazon SageMaker Pipelines is a service that enables the creation, automation, and management of end-to-end machine learning workflows.
✗AWS Step Functions
A general-purpose state machine service that genuinely can orchestrate ML workflows and integrates with SageMaker. SageMaker Pipelines is purpose-built for the job, adding step types for training and tuning plus model registry and lineage tracking.
✗AWS Batch
Runs batch compute jobs on managed infrastructure. It executes work rather than defining a pipeline of ML stages.
7. Which AWS service provides pre-trained AI services for anomaly detection in metrics?
✗Amazon Personalize
Builds recommendation systems from user interaction data. It predicts preference, not abnormality.
✓Amazon Lookout for Metrics
Amazon Lookout for Metrics uses machine learning to automatically detect anomalies in metrics and helps in identifying their root cause.
✗Amazon Kinesis
Ingests and transports streaming data. It carries the metrics that an anomaly detector would analyse.
✗Amazon Forecast
Produces time-series forecasts of future values. Closely related, since a forecast can imply what counts as unusual, but it predicts rather than flags anomalies.
8. Which AWS service allows developers to add user sign-up, sign-in, and access control to web and mobile apps quickly and easily?
✗AWS AppSync
A managed GraphQL service for data APIs. It integrates with Cognito for authentication but provides none itself.
✓Amazon Cognito
Amazon Cognito provides authentication, authorization, and user management for web and mobile apps.
✗AWS Identity and Access Management (IAM)
Controls access for AWS principals — users, roles and services within your account. It is not built to manage millions of end users of your application.
✗AWS Directory Service
Provides managed Microsoft Active Directory for enterprise workloads. Aimed at corporate identity, not consumer app sign-up.
22 more questions in the app
Practise the full 30-question set with a timer, scoring and progress tracking.
