Topic 1 Question 8
A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data. Which solution requires the LEAST effort to be able to query this data?
Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.
Use AWS Glue to catalogue the data and Amazon Athena to run queries.
Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries.
Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries.
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コメント(14)
B is correct
👍 22cybe0012021/09/28The correct answer HAS TO be B Using Glue Use AWS Glue to catalogue the data and Amazon Athena to run queries against data on S3 are very typical use cases for those services.
D is not ideal, Lambda can surely do many things but it requires development/testing effort, and Amazon Kinesis Data Analytics is not ideal for ad-hoc queries.
👍 8dhs2272021/10/12B is right
👍 2roytruong2021/10/16
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