Amazon
DEA-C01 · Question #36
A company needs to build a data lake in AWS. The company must provide row-level data access and column-level data access to specific teams. The teams will access the data by using Amazon Athena, Amazo
The correct answer is D. Use Amazon S3 for data lake storage. Use AWS Lake Formation to restrict data access by rows. https://docs.aws.amazon.com/lake-formation/latest/dg/cbac-tutorial.html
Data Security and Governance
Question
A company needs to build a data lake in AWS. The company must provide row-level data access and column-level data access to specific teams. The teams will access the data by using Amazon Athena, Amazon Redshift Spectrum, and Apache Hive from Amazon EMR. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AUse Amazon S3 for data lake storage. Use S3 access policies to restrict data access by rows and
- BUse Amazon S3 for data lake storage. Use Apache Ranger through Amazon EMR to restrict data
- CUse Amazon Redshift for data lake storage. Use Redshift security policies to restrict data access
- DUse Amazon S3 for data lake storage. Use AWS Lake Formation to restrict data access by rows
How the community answered
(60 responses)- A12% (7)
- B8% (5)
- C28% (17)
- D52% (31)
Explanation
https://docs.aws.amazon.com/lake-formation/latest/dg/cbac-tutorial.html
Topics
#Data Lake#Data Security#Access Control#AWS Lake Formation
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