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AWS Machine Learning and AI Services Flashcards

7 cards from real AWS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 AWS Machine Learning and AI Services flashcards as text

  1. What is Amazon SageMaker primarily used for?

    Answer: Building, training, and deploying machine learning models

    Amazon SageMaker is a fully managed service that provides developers and data scientists with every tool needed to build, train, and deploy machine learning models quickly.

  2. Which AWS service provides image and video analysis using deep learning?

    Answer: Amazon Rekognition

    Amazon Rekognition uses deep learning to analyze images and videos for object detection, facial analysis, text detection, and content moderation.

  3. What does Amazon Comprehend primarily do?

    Answer: Performs natural language processing to find insights in text

    Amazon Comprehend is an NLP service that uses machine learning to uncover insights and relationships in unstructured text, such as sentiment, entities, and key phrases.

  4. Which AWS service is used to convert spoken language into text?

    Answer: Amazon Transcribe

    Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to applications.

  5. What is Amazon Polly used for?

    Answer: Converting text to realistic speech

    Amazon Polly is a text-to-speech service that uses deep learning to synthesize natural-sounding human speech from text input.

  6. Which AWS service is designed to build conversational interfaces such as chatbots?

    Answer: Amazon Lex

    Amazon Lex is a service for building conversational interfaces into applications using voice and text, powered by the same deep learning technologies that power Alexa.

  7. What is Amazon Forecast primarily used for?

    Answer: Time-series forecasting for business metrics like sales and inventory

    Amazon Forecast is a fully managed service that uses ML to deliver highly accurate time-series forecasts for business metrics such as sales, inventory, and capacity planning.