Topic 1 Question 962
A company uses an Amazon DynamoDB table to store data that the company receives from devices. The DynamoDB table supports a customer-facing website to display recent activity on customer devices. The company configured the table with provisioned throughput for writes and reads.
The company wants to calculate performance metrics for customer device data on a daily basis. The solution must have minimal effect on the table's provisioned read and write capacity.
Which solution will meet these requirements?
Use an Amazon Athena SQL query with the Amazon Athena DynamoDB connector to calculate performance metrics on a recurring schedule.
Use an AWS Glue job with the AWS Glue DynamoDB export connector to calculate performance metrics on a recurring schedule.
Use an Amazon Redshift COPY command to calculate performance metrics on a recurring schedule.
Use an Amazon EMR job with an Apache Hive external table to calculate performance metrics on a recurring schedule.
ユーザの投票
コメント(14)
- 正解だと思う選択肢: B
DynamoDB export connector literally "exports" table snapshot to s3 as dynamoDB-json object, then process on it. So it does not affect on read / write capacity on dynamoDB itself. But Athena query directly on dynamoDB so affects on read / write capacity
👍 5toyaji2024/09/10 I go with A
👍 2dhewa2024/08/20why is B wrong.. Glue DynamoDB export connector will read data from PITR instead of DynamoDB directly..
👍 2ksdpmx2024/08/21
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