Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 5 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 5
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

HOTSPOT -
A company stores historical data in .csv files in Amazon S3. Only some of the rows and columns in the .csv files are populated. The columns are not labeled. An ML engineer needs to prepare and store the data so that the company can use the data to train ML models.
Select and order the correct steps from the following list to perform this task. Each step should be selected one time or not at all. (Select and order three.)
• Create an Amazon SageMaker batch transform job for data cleaning and feature engineering.
• Store the resulting data back in Amazon S3.
• Use Amazon Athena to infer the schemas and available columns.
• Use AWS Glue crawlers to infer the schemas and available columns.
• Use AWS Glue DataBrew for data cleaning and feature engineering.

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by AzureDP900 at Feb. 18, 2025, 3:23 a.m.

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AzureDP900

Highly Voted 4 months, 2 weeks ago

Order of steps: Use AWS Glue crawlers to infer schemas and available columns. Use AWS Glue DataBrew for data cleaning and feature engineering. Store the resulting data back in Amazon S3.

upvoted 6 times

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Naril

Most Recent 1 month ago

Infer the current schema and create data catalog using Glue crawlers, than process the data using DataBrew and finally save the results in s3

upvoted 2 times

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