Amazon
MLS-C01 · Question #26
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements: - Support querying old and new data on Amazon
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Data Engineering
Question
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:
- Support querying old and new data on Amazon S3 through Amazon Athena
and Amazon Redshift Spectrum.
- Support event-driven ETL pipelines
- Provide a quick and easy way to understand metadata
Which approach meets these requirements?
Options
- AUse an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue
- BUse an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch
- CUse an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS
- DUse an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS
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Topics
#Data Lake Architecture#Serverless ETL#AWS Glue#Metadata Management