Question #733
A company is migrating large volumes of structured and unstructured data from on-premises systems to AWS. The company needs to catalog, process, and analyze this data to generate business insights. Which combination of AWS services should the company use to automate data discovery, transformation, and visualization? (Choose two.)
AWS Glue
Amazon FSx
Amazon Redshift
Amazon QuickSight
Amazon Neptune
Explanation
AWS Glue (A) is chosen because it provides serverless ETL capabilities, automates data discovery using crawlers, and maintains a centralized Data Catalog for metadata management—critical for handling structured/unstructured data. Amazon QuickSight (D) is selected for its ability to create interactive visualizations and dashboards from processed data, directly addressing the need for business insights.
Other options are incorrect:
- B (Amazon FSx) is a managed file storage service, not designed for data cataloging or transformation.
- C (Amazon Redshift) is a data warehouse for analytics but does not automate data discovery or ETL workflows.
- E (Amazon Neptune) is a graph database service irrelevant to this use case.
Key Points:
1. AWS Glue handles automated data cataloging and ETL.
2. QuickSight focuses on visualization and insights.
3. Structured/unstructured data requires flexible processing (Glue) and visualization (QuickSight).
Answer
The correct answer is: AD