DEA-C01 · Question #89
DEA-C01 Question #89: Real Exam Question with Answer & Explanation
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Question
A data engineer must build an extract, transform, and load (ETL) pipeline to process and load data from 10 source systems into 10 tables that are in an Amazon Redshift database. All the source systems generate .csv, JSON, or Apache Parquet files every 15 minutes. The source systems all deliver files into one Amazon S3 bucket. The file sizes range from 10 MB to 20 GB. The ETL pipeline must function correctly despite changes to the data schema. Which data pipeline solutions will meet these requirements? (Choose two.)
Options
- AUse an Amazon EventBridge rule to run an AWS Glue job every 15 minutes. Configure the AWS
- BUse an Amazon EventBridge rule to invoke an AWS Glue workflow job every 15 minutes.
- CConfigure an AWS Lambda function to invoke an AWS Glue crawler when a file is loaded into the
- DConfigure an AWS Lambda function to invoke an AWS Glue workflow when a file is loaded into
- EConfigure an AWS Lambda function to invoke an AWS Glue job when a file is loaded into the S3
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