Which combination of components can meet these requirements?

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.)
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

Answer: BEF

Explanation:

Reference: https://d1.awsstatic.com/whitepapers/Storage/data-lake-on-aws.pdf