GregLab | Exam Prep

Applications of Foundation Models

AWS AI Services

AWS AI services are managed, task-specific services that often avoid custom model training. The exam commonly asks you to match a use case to Comprehend, Rekognition, Textract, Polly, Transcribe, Translate, Kendra, Personalize, Lex, Forecast, Fraud Detector, Lookout services, or A2I.

Concepts

  • Amazon Comprehend extracts insights from text such as sentiment, entities, key phrases, language, and topics.
  • Amazon Rekognition analyzes images and videos for labels, moderation, faces, text, and custom labels.
  • Amazon Textract extracts text, handwriting, forms, and tables from documents.
  • Amazon Polly turns text into lifelike speech; Amazon Transcribe turns speech into text; Amazon Translate translates text.
  • Amazon Kendra provides enterprise semantic search; Amazon Personalize builds recommendations; Amazon Lex builds conversational bots.
  • Lookout services address anomaly detection for equipment, metrics, and vision; Amazon Fraud Detector targets online fraud; Amazon Forecast provides time-series forecasting; Amazon A2I adds human review.

Exam tips

  • Use Comprehend for NLP, Rekognition for images/video, and Textract for document extraction.
  • Use Polly for text-to-speech, Transcribe for speech-to-text, and Translate for translation.
  • Use Personalize for recommendations, Kendra for enterprise search, and Lex for conversational bots.

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Exam fidelity: AWS lists multiple choice and multiple response for this exam. Ordering, matching, and case-study items are supplemental learning exercises; their results stay in overall study accuracy but do not count toward exam-style accuracy. Difficulty labels describe this site's scenario complexity, not an AWS-published question rating.

Reference

AIF-C01 topics and service map

Study links

AIF-C01 resources