AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 52

Question

A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements: • Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum. • Support event-driven ETL pipelines • Provide a quick and easy way to understand metadata Which approach meets these requirements?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS Glue Data catalog to search and discover metadata. AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon S3 provides durable, scalable object storage that is fully managed. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 52