DEA-C01 · Question #177
DEA-C01 Question #177: Real Exam Question with Answer & Explanation
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Question
A company uses AWS Glue Data Catalog to index data that is uploaded to an Amazon S3 bucket every day. The company uses a daily batch processes in an extract, transform, and load (ETL) pipeline to upload data from external sources into the S3 bucket. The company runs a daily report on the S3 data. Some days, the company runs the report before all the daily data has been uploaded to the S3 bucket. A data engineer must be able to send a message that identifies any incomplete data to an existing Amazon Simple Notification Service (Amazon SNS) topic. Which solution will meet this requirement with the LEAST operational overhead?
Options
- ACreate data quality checks for the source datasets that the daily reports use. Create a new AWS
- BCreate data quality checks on the source datasets that the daily reports use. Create a new
- CCreate data quality checks on the source datasets that the daily reports use. Create data quality
- DCreate AWS Lambda functions that run data quality queries on the columns data type and the
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