MLA-C01 · Question #168
MLA-C01 Question #168: Real Exam Question with Answer & Explanation
The correct answer is A: Use AWS Glue to run the ETL job. Use the job to discover the schema and to store the. AWS Glue provides a fully managed ETL service with built-in crawlers that automatically discover data schemas from Amazon S3 and store the metadata in the AWS Glue Data Catalog, requiring minimal manual configuration or operational effort.
Question
An ML engineer wants to use, prepare, and load data from Amazon S3 for analytics. The ML engineer must run an extract, transform, and load (ETL) job to discover the schema of the data and to store the metadata. Which solution will meet these requirements with the LEAST manual effort?
Options
- AUse AWS Glue to run the ETL job. Use the job to discover the schema and to store the
- BCreate an Amazon SageMaker Data Wrangler flow to run the ETL job. Use the job to discover the
- CCreate an ETL pipeline by using Amazon Athena integrated with AWs Step Functions. Use the
- DLaunch an Amazon EC2 instance that includes the scikit-learn library to run the ETL job. Use the
Explanation
AWS Glue provides a fully managed ETL service with built-in crawlers that automatically discover data schemas from Amazon S3 and store the metadata in the AWS Glue Data Catalog, requiring minimal manual configuration or operational effort.
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