A Company Has Several Teams, and Each Team Has Their

Multiple Choice

A company has several teams, and each team has their own Amazon RDS database that totals 100 TB. The company is building a data query platform for Business Intelligence Analysts to generate a weekly business report. The new system must run ad-hoc SQL queries. What is the MOST cost-effective solution?

A) Create a new Amazon Redshift cluster. Create an AWS Glue ETL job to copy data from the RDS databases to the Amazon Redshift cluster. Use Amazon Redshift to run the query.
B) Create an Amazon EMR cluster with enough core nodes. Run an Apache Spark job to copy data from the RDS databases to a Hadoop Distributed File System (HDFS) . Use a local Apache Hive metastore to maintain the table definition. Use Spark SQL to run the query.
C) Use an AWS Glue ETL job to copy all the RDS databases to a single Amazon Aurora PostgreSQL database. Run SQL queries on the Aurora PostgreSQL database.
D) Use an AWS Glue crawler to crawl all the databases and create tables in the AWS Glue Data Catalog. Use an AWS Glue ETL job to load data from the RDS databases to Amazon S3, and use Amazon Athena to run the queries.