AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 71

Question

A Data Scientist needs to migrate an existing on-premises ETL process to the cloud. The current process runs at regular time intervals and uses PySpark to combine and format multiple large data sources into a single consolidated output for downstream processing. The Data Scientist has been given the following requirements to the cloud solution: • Combine multiple data sources. • Reuse existing PySpark logic. • Run the solution on the existing schedule. • Minimize the number of servers that will need to be managed. Which architecture should the Data Scientist use to build this solution?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Write the raw data to Amazon S3. Create an AWS Glue ETL job to perform the ETL processing against the input data. Write the ETL job in PySpark to leverage the existing logic. Create a new AWS Glue trigger to trigger t... 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 Config tracks resource configuration changes and evaluates compliance.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 71