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AWS Certified Machine Learning Engineer - Associate MLA-C01 Actual Exam Questions

▤ 68 Questions◷ 120 Minutes✓ 70% Passing Score▣ Updated: Sep 2026

Question 40 of 68

Single answer
CertylQ dataset is more than 5 TB in size and consists of CSV, JSON, Apache Parquet, and simple text files. hours to finish running. Some of the processing involves natural language processing (NLP) transformations. The entire process must be automated. Which solution will meet these requirements?
AProcess data at each step by using Amazon SageMaker Data Wrangler. Automate the process by using Data Wrangler jobs.
BUse Amazon SageMaker notebooks for each data processing step. Automate the process by using Amazon EventBridge.
CProcess data at each step by using AWS Lambda functions. Automate the process by using AWS Step Functions and Amazon EventBridge.
✓DUse Amazon SageMaker Pipelines to create a pipeline of data processing steps. Automate the pipeline by using Amazon EventBridge.
✓
Correct Answer: D

Use Amazon SageMaker Pipelines to create a pipeline of data processing steps. Automate the pipeline by using Amazon EventBridge.

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Explanation

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