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MLS-C01 · Question #45

A company is setting up a system to manage all of the datasets it stores in Amazon S3. The company would like to automate running transformation jobs on the data and maintaining a catalog of the metad

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Data Engineering

Question

A company is setting up a system to manage all of the datasets it stores in Amazon S3. The company would like to automate running transformation jobs on the data and maintaining a catalog of the metadata concerning the datasets. The solution should require the least amount of setup and maintenance. Which solution will allow the company to achieve its goals?

Options

  • ACreate an Amazon EMR cluster with Apache Hive installed. Then, create a Hive metastore and a
  • BCreate an AWS Glue crawler to populate the AWS Glue Data Catalog. Then, author an AWS
  • CCreate an Amazon EMR cluster with Apache Spark installed. Then, create an Apache Hive
  • DCreate an AWS Data Pipeline that transforms the data. Then, create an Apache Hive metastore

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Topics

#AWS Glue#Data Catalog#ETL#Serverless Data Processing
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