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Data Analytics & Machine Learning Flashcards

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

Read the first 7 Data Analytics & Machine Learning flashcards as text
  1. Which AWS service provides an intelligent enterprise search engine powered by machine learning?

    Answer: Amazon Kendra

    Amazon Kendra is an ML-powered enterprise search service that returns precise answers across content repositories.

  2. Within Amazon SageMaker, which feature lets you label training data using human annotators or automated labeling?

    Answer: SageMaker Ground Truth

    SageMaker Ground Truth helps build high-quality training datasets through human and automated data labeling.

  3. Which service catalogs metadata and makes it searchable so analysts can discover datasets across the organization?

    Answer: AWS Glue Data Catalog

    The AWS Glue Data Catalog is a central metadata repository used by Athena, EMR, and Redshift Spectrum.

  4. Which service lets you query data in S3 directly from Amazon Redshift without loading it into the cluster?

    Answer: Redshift Spectrum

    Redshift Spectrum allows Redshift to run queries against data residing in S3 without first loading it.

  5. Which AWS service builds, governs, and shares a data lake quickly with centralized permissions?

    Answer: AWS Lake Formation

    AWS Lake Formation simplifies building secure data lakes with centralized, fine-grained access controls.

  6. Which SageMaker capability helps detect bias in ML models and explain model predictions?

    Answer: SageMaker Clarify

    SageMaker Clarify detects potential bias and provides explainability for model predictions.

  7. Which service provides a managed Apache Kafka environment for streaming data?

    Answer: Amazon MSK

    Amazon MSK (Managed Streaming for Apache Kafka) provides fully managed Apache Kafka clusters.