DEA-C01 · Question #49
DEA-C01 Question #49: Real Exam Question with Answer & Explanation
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Question
A company extracts approximately 1 TB of data every day from data sources such as SAP HANA, Microsoft SQL Server, MongoDB, Apache Kafka, and Amazon DynamoDB. Some of the data sources have undefined data schemas or data schemas that change. A data engineer must implement a solution that can detect the schema for these data sources. The solution must extract, transform, and load the data to an Amazon S3 bucket. The company has a service level agreement (SLA) to load the data into the S3 bucket within 15 minutes of data creation. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AUse Amazon EMR to detect the schema and to extract, transform, and load the data into the S3
- BUse AWS Glue to detect the schema and to extract, transform, and load the data into the S3
- CCreate a PySpark program in AWS Lambda to extract, transform, and load the data into the S3
- DCreate a stored procedure in Amazon Redshift to detect the schema and to extract, transform,
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