MSP Bank, Limited is a leading Japanese monetary institution that provides a full range of financial products and services to both institutional and individual customers. It is headquartered in Tokyo. MSP Bank is hosting their existing infrastructure on on premise DC and AWS and maintains a hybrid environment.
MSP Bank hosts multiple web applications, CRM and ERP running on premise while moving storage, compute, DWH and AI running out of AWS. Also MSP is launching new applications running on AWS environment. MSP Banks hosts their Development, Testing and Production VPC to maintain different environments and maintains VPN connectivity between on premise DC and AWS.
MSP Bank is planning to build a data lake on all the log files stored in S3, captured from different applications running out of on premise and AWS and also identified data sets captured out of CRM, ERP and other Business applications . MSP Bank is looking at fully managed ETL service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. What tool can help? select 1 option.

Answer options:

A.AWS Athena acts as the ETL Engine and Glue Data Catalog acts as central metadata repository
B.AWS Glue acts as the ETL Engine and Glue Data Catalog acts as central metadata repository
C.AWS Kinesis acts as the Data Processing Engine and Glue Data Catalog can be easily configured as central data repository
D.AWS Glue Catalog acts as the ETL Engine and central metadata repository

Answer B
Option A is incorrect - Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run. Athena scales automatically—executing queries in parallel—so results are fast, even with large datasets and complex queries. 
https://docs.aws.amazon.com/athena/latest/ug/what-is.html
The AWS Glue Data Catalog is persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore, It provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos, and use that metadata to query and transform the data 
https://docs.aws.amazon.com/glue/latest/dg/components- overview.html#data-catalog-intro
Option B is correct -AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. 
https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html
The AWS Glue Data Catalog is persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore, It provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos, and use that metadata to query and transform the data 
https://docs.aws.amazon.com/glue/latest/dg/components- overview.html#data-catalog-intro
Option C is incorrect -Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service. KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events. The data collected is available in milliseconds to enable real-time analytics use cases such as real- time dashboards, real-time anomaly detection, dynamic pricing, and more. 
https://aws.amazon.com/kinesis/data-streams/
The AWS Glue Data Catalog is persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore, It provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos, and use that metadata to query and transform the data 
https://docs.aws.amazon.com/glue/latest/dg/components- overview.html#data-catalog-intro
Option D is incorrect - The AWS Glue Data Catalog is persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore, It provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos, and use that metadata to query and transform the data 
https://docs.aws.amazon.com/glue/latest/dg/components- overview.html#data-catalog-intro