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 paired with AWS Glue, you can manage your data efficiently.

Selected Answer: BE Textbook question, the keyword data mesh means S3, the keyword data governance means LakeFormation

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)"

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

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.

Selected Answer: BE BE are the correct answer.

B and E

Selected Answer: BE i think so

Must be B and E

Selected Answer: BE A: Cost-effective storage: Amazon S3 is a highly scalable and cost-effective object storage service, ideal for storing large datasets commonly found in financial institutions. Centralized data lake: S3 serves as the central data lake where data from different domains can live in raw or processed form. Easy data access: Athena provides a serverless interactive query service that lets data analysts query data stored in S3 directly using standard SQL. This makes data exploration and analysis simpler 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 lets you define granular access policies for each data domain, ensuring only authorized users can access specific data sets. This matches the need for centralized control in a data mesh.

Selected Answer: BE S3 is the best storage for data lake, and AWS lake formation is the best for management.

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

Selected Answer: BE B. Use Amazon S3 for data storage + Amazon Athena for data analysis In a data mesh, domains publish data as products. S3 is the ideal decentralized storage layer, and Athena gives serverless, low-cost query capabilities over that data without heavy infrastructure. E. Use AWS Lake Formation for centralized data governance and access control Lake Formation works with AWS Glue Data Catalog and enforces fine-grained permissions (table, column, row-level security). It fits data mesh principles well by enabling centralized governance with decentralized domain data ownership.

Selected Answer: BE like a data mesh, s3 for storage, lake formation for centralized governance.