A company is planning to create a data lake in Amazon S3. The company wants to create tiered storage based on access patterns and cost objectives. The solution must include support for JDBC connections from legacy clients, metadata management that allows federation for access control, and batch-based ETL using PySpark and Scala. Operational management should be limited. Which combination of components can meet these requirements? (Choose three.)

Topic #: - All AWS Certified Data Analytics - Specialty Questions

A. AWS Glue Data Catalog for metadata management
B. Amazon EMR with Apache Spark for ETL
C. AWS Glue for Scala-based ETL
D. Amazon EMR with Apache Hive for JDBC clients
E. Amazon Athena for querying data in Amazon S3 using JDBC drivers
F. Amazon EMR with Apache Hive, using an Amazon RDS with MySQL-compatible backed metastore

- Awsexamhub website is not related to, affiliated with, endorsed or authorized by Amazon.
- Trademarks, certification & product names are used for reference only and belong to Amazon.

Suggested Answer:

Share this post

Join the Discussion