DAS-C01 · Question #137
DAS-C01 Question #137: Real Exam Question with Answer & Explanation
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Question
A global pharmaceutical company receives test results for new drugs from various testing facilities worldwide. The results are sent in millions of 1 KB-sized JSON objects to an Amazon S3 bucket owned by the company. The data engineering team needs to process those files, convert them into Apache Parquet format, and load them into Amazon Redshift for data analysts to perform dashboard reporting. The engineering team uses AWS Glue to process the objects, AWS Step Functions for process orchestration, and Amazon CloudWatch for job scheduling. More testing facilities were recently added, and the time to process files is increasing. What will MOST efficiently decrease the data processing time?
Options
- AUse AWS Lambda to group the small files into larger files. Write the files back to Amazon S3.
- BUse the AWS Glue dynamic frame file grouping option while ingesting the raw input files. Process
- CUse the Amazon Redshift COPY command to move the files from Amazon S3 into Amazon
- DUse Amazon EMR instead of AWS Glue to group the small input files. Process the files in
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