An organization produces different types of data on-premises. This organization would like to migrate these data to the AWS cloud for analysis purposes.
What combination of services will be used to achieve this?

Answer options:

A.On premises data > Amazon S3 > AWS Glue >> Amazon Athena > Amazon Quicksight
B.On premises data > Amazon S3 > AWS Glue >> S3 Select > Amazon Quicksight
C.On premises data > Amazon S3 > AWS Glue >> Glacier Select > Amazon Quicksight
D.On premises data > Amazon S3 > AWS Glue >> Amazon OpenSearch > Amazon Quicksight

Correct Answer: A
The key point is to migrate and analyze data.
Option A is CORRECT, where the data from on-premise is being migrated to the S3 and using AWS Glue ETL jobs data will be transformed. AWS Glue crawlers will create the schema in the glue data catalog that can be used to analyze the data further using Amazon Athena, an interactive query service and good for analyzing data.
Option B is incorrect as S3 Select is a SQL-like query that is used for filtering objects on S3. This cannot be used for large-scale analysis of data.
Option C is incorrect as Glacier Select is a SQL-like query used for filtering objects on Glacier. This cannot be used for large-scale analysis of data.
Option D is incorrect because the Amazon OpenSearch service is used to search the data, not for analysis.
Reference:
https://aws.amazon.com/blogs/big-data/harmonize-query-and-visualize-data-from-various-providers-using-aws-glue-amazon-athena-and-amazon-quicksight/