An ML engineer needs to create data ingestion pipelines and ML model deployment pipelines on...

Vendor: Amazon Web Services
Product: MLA-C01
Update on: Jun 18, 2026
Questions: 241

Amazon Web Services MLA-C01 Question Answer

An ML engineer needs to create data ingestion pipelines and ML model deployment pipelines on AWS. All the raw data is stored in Amazon S3 buckets.

Which solution will meet these requirements?

Use Amazon Data Firehose to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.

Use AWS Glue to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.

Use Amazon Redshift ML to create the data ingestion pipelines. Use Amazon SageMaker Studio Classic to create the model deployment pipelines.

Use Amazon Athena to create the data ingestion pipelines. Use an Amazon SageMaker notebook to create the model deployment pipelines.

Amazon Web Services MLA-C01 Summary

Price: $52.5 ~~$149.99~~