MLS-C01 · Question #58
MLS-C01 Question #58: Real Exam Question with Answer & Explanation
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Question
A Machine Learning Specialist is developing a daily ETL workflow containing multiple ETL jobs. The workflow consists of the following processes: - Start the workflow as soon as data is uploaded to Amazon S3. - When all the datasets are available in Amazon S3, start an ETL job to join the uploaded datasets with multiple terabyte-sized datasets already stored in Amazon S3. - Store the results of joining datasets in Amazon S3. - If one of the jobs fails, send a notification to the Administrator. Which configuration will meet these requirements?
Options
- AUse AWS Lambda to trigger an AWS Step Functions workflow to wait for dataset uploads to
- BDevelop the ETL workflow using AWS Lambda to start an Amazon SageMaker notebook
- CDevelop the ETL workflow using AWS Batch to trigger the start of ETL jobs when data is
- DUse AWS Lambda to chain other Lambda functions to read and join the datasets in Amazon S3
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