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MLA-C01 · Question #144
MLA-C01 Question #144: Real Exam Question with Answer & Explanation
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Data Preparation for Machine Learning
Question
A company is developing a new ML model that uses the XGBoost algorithm. The company will train the model on data that is stored in an Amazon S3 bucket. The data is in a nested JSON format. An ML engineer needs to convert the JSON files into a tabular format. Which solution will meet this requirement with the LEAST operational overhead?
Options
- ACreate an AWS Glue PySpark job that uses the Relationalize transform to convert the files.
- BWrite custom Scala code to convert the files. Use Amazon EMR Serverless to run the Scala code.
- CCreate an AWS Lambda function that uses a Python runtime and invokes the reduce() function to
- DCreate an Amazon Athena database that is based on the JSON files. Use the Athena flatten
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Topics
#Data Transformation#AWS Glue#Nested JSON#Serverless ETL