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Question 348 - CLF-C02 discussion

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A company is using a central data platform to manage multiple types of data for its customers. The company wants to use AWS services to discover, transform, and visualize the data.

Which combination of AWS services should the company use to meet these requirements? (Select TWO.)

A.
AWS Glue
Answers
A.
AWS Glue
B.
Amazon Elastic File System (Amazon EFS)
Answers
B.
Amazon Elastic File System (Amazon EFS)
C.
Amazon Redshift
Answers
C.
Amazon Redshift
D.
Amazon QuickSight
Answers
D.
Amazon QuickSight
E.
Amazon Quantum Ledger Database (Amazon QLDB)
Answers
E.
Amazon Quantum Ledger Database (Amazon QLDB)
Suggested answer: A, C

Explanation:

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics. AWS Glue can discover data sources, transform data, and make it available for analysis by using data catalogs and workflows. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that enables customers to analyze data using standard SQL and existing business intelligence tools. Amazon Redshift can also integrate with other AWS services to visualize and transform data. Amazon Elastic File System (Amazon EFS) provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and onpremises resources. Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in an organization. Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log owned by a central trusted authority.

asked 16/09/2024
Werner Deysel
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