Your organization stores customer data in an Amazon DynamoDB table. You need to use AWS Glue to create the ETL (extract, transform, and load) jobs to build the data warehouse. In AWS Glue, you need a component to determine the schema from DynamoDB, and populate the AWS Glue Data Catalog with metadata. Which of the following components should be used to implement it?

Answer options:

A.Table in AWS Glue.
B.Table in Amazon Athena.
C.Crawler in AWS Glue.
D.Classifier in AWS Glue.

Correct Answer – C
You can use a crawler to populate the AWS Glue Data Catalog with tables. This is the primary method used by most AWS Glue users. A crawler can crawl multiple data stores in a single run. Upon completion, the crawler creates or updates one or more tables in your Data Catalog. The AWS Glue Data Catalog can then be used to guide ETL operations.
Option A is incorrect because the table in AWS Glue is used to define the data schema. It is not the correct component to perform the ETL jobs.
Option B is incorrect because the table in Athena is not the correct component to populate the AWS Glue Data Catalog.
Option C is CORRECT because, in AWS Glue, you can use a Crawler that connects to the DynamoBD table and populates the Data Catalog.
Option D is incorrect because Classifier is a component in Crawler that generates a schema. You should use Crawler to perform the ETL jobs instead of Classifier. The classifier is not a separate component.
Reference:
https://docs.aws.amazon.com/glue/latest/dg/components-overview.html
https://aws.amazon.com/blogs/database/simplify-amazon-dynamodb-data-extraction-and-analysis-by-using-aws-glue-and-amazon-athena/