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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 the function of AWS DeepRacer?

    Answer: A physical and simulated racing car platform for learning reinforcement learning

    AWS DeepRacer is a 1/18th scale autonomous race car and cloud-based 3D racing simulator designed to help developers learn reinforcement learning hands-on.

  2. Which SageMaker capability automates the end-to-end process of building, training, and tuning an ML model for a given dataset?

    Answer: SageMaker Autopilot

    SageMaker Autopilot automatically explores different algorithms and configurations to find the best model for your data, providing full visibility into the process.

  3. Amazon Comprehend Medical is specifically designed to extract information from which type of data?

    Answer: Clinical notes and medical records

    Amazon Comprehend Medical uses NLP to extract medical information such as diagnoses, medications, and dosages from unstructured clinical text.

  4. Which deployment option in SageMaker is designed for low-latency, high-throughput real-time predictions on single data points?

    Answer: Real-time inference endpoints

    SageMaker real-time inference endpoints provide persistent, low-latency endpoints suitable for synchronous, single-record predictions.

  5. What is the primary use case for Amazon Lex?

    Answer: Building conversational interfaces using voice and text

    Amazon Lex provides automatic speech recognition and natural language understanding to build chatbots and virtual assistants for voice and text.

  6. A data scientist needs to explain why a SageMaker model made a specific prediction and check for bias in training data. Which tool should they use?

    Answer: SageMaker Clarify

    SageMaker Clarify provides tools for bias detection in datasets and models, and generates feature attribution explanations using SHAP values.

  7. Which AWS service provides pre-trained, customizable foundation models through a serverless API without requiring infrastructure management?

    Answer: Amazon Bedrock

    Amazon Bedrock provides access to foundation models from AWS and third-party providers via a serverless API, with no infrastructure to manage.