DAS-C01 · Question #184
DAS-C01 Question #184: Real Exam Question with Answer & Explanation
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Question
A healthcare company ingests patient data from multiple data sources and stores it in an Amazon S3 staging bucket. An AWS Glue ETL job transforms the data, which is written to an S3-based data lake to be queried using Amazon Athena. The company wants to match patient records even when the records do not have a common unique identifier. Which solution meets this requirement?
Options
- AUse Amazon Macie pattern matching as part of the ETLjob
- BTrain and use the AWS Glue PySpark filter class in the ETLjob
- CPartition tables and use the ETL job to partition the data on patient name
- DTrain and use the AWS Glue FindMatches ML transform in the ETLjob
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