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…
The correct answer is A. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue. The AWS Glue Data Catalog is your persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore. The Data Catalog is a drop-in replacement for the Apache Hive Metastore…
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
How the community answered
(41 responses)- A83% (34)
- B10% (4)
- C5% (2)
- D2% (1)
Explanation
The AWS Glue Data Catalog is your persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore. The Data Catalog is a drop-in replacement for the Apache Hive Metastore https://docs.aws.amazon.com/zh_tw/glue/latest/dg/components-overview.html
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