What's changed: In-scope coverage: added other-category overview (API Gateway/Global Accelerator/PrivateLink/Transit Gateway/Client VPN/EventBridge/SNS/SQS/Step Functions/SES/Amplify/AppSync/IoT Core/WorkSpaces/AppStream/DocumentDB/SageMaker AI/CLI/CodeBuild/CodePipeline/X-Ray) and migration & transfer (Migration Hub/Discovery/Evaluator/MGN/DMS/SCT/Snow Family) to §4.3
4.3AI/ML and Analytics Services (Overview)
CLF-C02 Domain 3 "Cloud Technology and Services" also expects you to recognize AWS AI/machine-learning and analytics services by "name and purpose," alongside compute/storage/networking/DB. Learn the main ones at an awareness level.
Domain 3 also expects you to recognize the main categories of AWS services beyond compute, storage, networking, and databases. Two that come up often nowadays are AI/machine learning and analytics. The goal here is not implementation detail but being able to connect "for this purpose, which AWS service?"
4.3.1AI and machine-learning services
When you want to build, train, and deploy models yourself, the core is Amazon SageMaker. Separately, a family of prebuilt AI services lets you add advanced capabilities by calling an API—no ML expertise required.
- Amazon Rekognition: image/video analysis (objects, faces, moderation).
- Amazon Comprehend: extract sentiment, key phrases, and entities from text (NLP).
- Amazon Lex: build conversational bots (chat/voice).
- Amazon Polly (text-to-speech) and Amazon Transcribe (speech-to-text).
- Amazon Translate (translation), Amazon Textract (extract text/tables from documents), Amazon Kendra (intelligent enterprise search).
Continue reading — free sign-up
You're reading the free preview. Sign up free to read this section in full, plus every chapter (including 4+) and all questions.