AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 164

Question

A company collects customer data every day. The company stores the data as compressed files in an Amazon S3 bucket that is partitioned by date. Every month, analysts download the data, process the data to check the data quality, and then upload the data to Amazon QuickSight dashboards. An ML engineer needs to implement a solution to automatically check the data quality before the data is sent to QuickSight. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Run an AWS Glue crawler every month to update the AWS Glue Data Catalog. Use AWS Glue Data Quality rules to check the data quality. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 164