DAS-C01 · Question #35
DAS-C01 Question #35: Real Exam Question with Answer & Explanation
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Question
A company has a business unit uploading .csv files to an Amazon S3 bucket. The company's data platform team has set up an AWS Glue crawler to do discovery, and create tables and schemas. An AWS Glue job writes processed data from the created tables to an Amazon Redshift database. The AWS Glue job handles column mapping and creating the Amazon Redshift table appropriately. When the AWS Glue job is rerun for any reason in a day, duplicate records are introduced into the Amazon Redshift table. Which solution will update the Redshift table without duplicates when jobs are rerun?
Options
- AModify the AWS Glue job to copy the rows into a staging table.
- BLoad the previously inserted data into a MySQL database in the AWS Glue job.
- CUse Apache Spark's DataFrame dropDuplicates() API to eliminate duplicates and then write the
- DUse the AWS Glue ResolveChoice built-in transform to select the most recent value of the
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