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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 4 discussion

A financial company wants to implement a data mesh. The data mesh must support centralized data governance, data analysis, and data access control. The company has decided to use AWS Glue for data catalogs and extract, transform, and load (ETL) operations.
Which combination of AWS services will implement a data mesh? (Choose two.)

  • A. Use Amazon Aurora for data storage. Use an Amazon Redshift provisioned cluster for data analysis.
  • B. Use Amazon S3 for data storage. Use Amazon Athena for data analysis.
  • C. Use AWS Glue DataBrew for centralized data governance and access control.
  • D. Use Amazon RDS for data storage. Use Amazon EMR for data analysis.
  • E. Use AWS Lake Formation for centralized data governance and access control.
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Suggested Answer: BE 🗳️

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hsnin
Highly Voted 1 year, 1 month ago
Selected Answer: BE
The answer is B and E. The data mesh implementation uses Amazon S3 and Athena for data storage and analysis, and AWS Lake Formation for centralized data governance and access control. When combined with AWS Glue, you can efficiently manage your data.
upvoted 7 times
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ninomfr64
Most Recent 3 weeks, 2 days ago
Selected Answer: BE
S3 (storage) LakeFormation (governance) Athena (analytics) can be used to implement data mesh. In real life you would use DataZone or nowadays SageMaker Unified Studio
upvoted 1 times
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Shubham1989
7 months, 1 week ago
Selected Answer: BE
S3 is best storage for data lake, and AWS lake formation is best for management.
upvoted 1 times
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nanaw770
7 months, 1 week ago
Selected Answer: BE
BE are correct answer.
upvoted 2 times
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Josa2
7 months, 1 week ago
Selected Answer: BE
Sometimes I think examtopics uses us to calibrate the right answers hehehe, by the goal statement and the services outlines and objectives there are no way the answer be different then B,E
upvoted 3 times
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pypelyncar
7 months, 1 week ago
Selected Answer: BE
A: Cost-effective storage: Amazon S3 is a highly scalable and cost-effective object storage service perfect for storing large datasets commonly found in financial institutions. Centralized data lake: S3 acts as the central data lake where all data from different domains can reside in its raw or processed form. Easy data access: Athena provides a serverless interactive query service that allows data analysts to directly query data stored in S3 using standard SQL. This simplifies data exploration and analysis without managing servers. B: Data governance: Lake Formation helps establish data ownership, access control, and lineage for data products within the data mesh. It ensures data quality, security, and compliance with regulations. Fine-grained access control: Lake Formation allows you to define granular access policies for each data domain, ensuring only authorized users can access specific data sets. This aligns with the need for centralized control in a data mesh.
upvoted 1 times
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Fredrik1
9 months, 1 week ago
Must be B and E
upvoted 1 times
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minhtien1707
1 year, 1 month ago
Selected Answer: BE
i thing so
upvoted 1 times
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alexua
1 year, 2 months ago
B and E . C - is not correct "AWS Glue DataBrew is a visual data preparation tool that makes it easier for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML)"
upvoted 2 times
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Alcee
1 year, 2 months ago
B and E
upvoted 1 times
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TonyStark0122
1 year, 3 months ago
BE Given the requirements for implementing a data mesh architecture with centralized data governance, data analysis, and data access control, the two better choices from the options provided would be: B. Use Amazon S3 for data storage. Use Amazon Athena for data analysis. E. Use AWS Lake Formation for centralized data governance and access control.
upvoted 2 times
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milofficial
1 year, 3 months ago
Selected Answer: BE
Textbook question, the keyword data mesh means S3, the keyword data governance means LakeFormation
upvoted 4 times
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