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DEA-C01 · Question #229

A company built a data lake and a data warehouse on AWS. The company wants to implement a data catalog to enhance the current data storage solutions. The company wants to have the capability to add bu

The correct answer is C. Use Amazon DataZone. Create the business glossaries. Create metadata forms. Use the. Amazon DataZone provides a fully managed data catalog and governance service with built-in support for business glossaries, custom metadata forms, and a user-friendly data portal. You can onboard your existing data assets, define glossaries, and capture business metadata without

Data Security and Governance

Question

A company built a data lake and a data warehouse on AWS. The company wants to implement a data catalog to enhance the current data storage solutions. The company wants to have the capability to add business metadata and glossary information to the data catalog for every asset. Which solution will meet these requirements with the LEAST operational overhead?

Options

  • AUse AWS Glue Catalog. Create a user table for the business glossary. Use the AWS Glue API to
  • BUse an Apache Hive metastore. Create a user table for the business glossary. Use the ALTER
  • CUse Amazon DataZone. Create the business glossaries. Create metadata forms. Use the
  • DUse Amazon OpenSearch Service. Create an index for the business glossary. Create a second

How the community answered

(22 responses)
  • A
    9% (2)
  • B
    9% (2)
  • C
    77% (17)
  • D
    5% (1)

Explanation

Amazon DataZone provides a fully managed data catalog and governance service with built-in support for business glossaries, custom metadata forms, and a user-friendly data portal. You can onboard your existing data assets, define glossaries, and capture business metadata without building or maintaining custom tables, APIs, or applications, minimizing operational overhead.

Topics

#Data Catalog#Business Metadata#Amazon DataZone#Operational Overhead

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