DAS-C01 · Question #58
DAS-C01 Question #58: Real Exam Question with Answer & Explanation
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Question
A company wants to optimize the cost of its data and analytics platform. The company is ingesting a number of .csv and JSON files in Amazon S3 from various data sources. Incoming data is expected to be 50 GB each day. The company is using Amazon Athena to query the raw data in Amazon S3 directly. Most queries aggregate data from the past 12 months, and data that is older than 5 years is infrequently queried. The typical query scans about 500 MB of data and is expected to return results in less than 1 minute. The raw data must be retained indefinitely for compliance requirements. Which solution meets the company's requirements?
Options
- AUse an AWS Glue ETL job to compress, partition, and convert the data into a columnar data
- BUse an AWS Glue ETL job to partition and convert the data into a row-based data format. Use
- CUse an AWS Glue ETL job to compress, partition, and convert the data into a columnar data
- DUse an AWS Glue ETL job to partition and convert the data into a row-based data format. Use
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