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MLS-C01 · Question #26

MLS-C01 Question #26: Real Exam Question with Answer & Explanation

The correct answer is A: Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue. The AWS Glue Data Catalog is your persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore. The Data Catalog is a drop-in replacement for the Apache Hive Metastore h

Data Engineering

Question

A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements: - Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum. - Support event-driven ETL pipelines - Provide a quick and easy way to understand metadata Which approach meets these requirements?

Options

  • AUse an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue
  • BUse an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch
  • CUse an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS
  • DUse an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS

Explanation

The AWS Glue Data Catalog is your persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore. The Data Catalog is a drop-in replacement for the Apache Hive Metastore https://docs.aws.amazon.com/zh_tw/glue/latest/dg/components-overview.html

Topics

#Data Lake Architecture#Serverless ETL#AWS Glue#Metadata Management

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