MLS-C01 · Question #259
An ecommerce company is collecting structured data and unstructured data from its website, mobile apps, and IoT devices. The data is stored in several databases and Amazon S3 buckets. The company is…
The correct answer is A. Identify the existing data in the databases and S3 buckets. Link the data to AWS Lake Formation. C. Run AWS Glue crawlers on the linked data sources to create a central data catalog. E. Apply granular access policies and encryption by using AWS Lake Formation. https://docs.aws.amazon.com/lake-formation/latest/dg/what-is-lake-formation.html
Question
An ecommerce company is collecting structured data and unstructured data from its website, mobile apps, and IoT devices. The data is stored in several databases and Amazon S3 buckets. The company is implementing a scalable repository to store structured data and unstructured data. The company must implement a solution that provides a central data catalog, self-service access to the data, and granular data access policies and encryption to protect the data. Which combination of actions will meet these requirements with the LEAST amount of setup? (Choose three.)
Options
- AIdentify the existing data in the databases and S3 buckets. Link the data to AWS Lake Formation.
- BIdentify the existing data in the databases and S3 buckets. Link the data to AWS Glue.
- CRun AWS Glue crawlers on the linked data sources to create a central data catalog.
- DApply granular access policies by using AWS Identity and Access Management (IAM). Configure
- EApply granular access policies and encryption by using AWS Lake Formation.
- FApply granular access policies and encryption by using AWS Glue.
How the community answered
(56 responses)- A48% (27)
- B27% (15)
- D16% (9)
- F9% (5)
Explanation
https://docs.aws.amazon.com/lake-formation/latest/dg/what-is-lake-formation.html
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