AWS Certified Solutions Architect Associate SAA-C03 Practice Question
Which statement about AWS Lake Formation is accurate?
It replaces the AWS Glue Data Catalog as the only way to store metadata for analytics.
It is a fully managed real-time streaming analytics service based on Apache Kafka.
It automatically provisions Amazon Redshift clusters for interactive analytics workloads.
It enables you to collect, catalog, and move data from databases and Amazon S3 into a secure data lake and uses built-in machine-learning algorithms to deduplicate and classify that data.
AWS Lake Formation is an integrated service that can collect data from existing databases and Amazon S3, move that data into a new S3-based data lake, and use built-in machine-learning algorithms to deduplicate and classify the data. It also provides centralized, fine-grained security and cataloging for the lake. The other options describe services or features Lake Formation does not provide.
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What are the main components of AWS Lake Formation?
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How does AWS Lake Formation use machine learning for data classification?
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What are data lakes, and how do they differ from traditional databases?