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Question 391 - DVA-C01 discussion

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A company is launching a poling application. The application will store the results of each pool an Amazon DynamoDB table. Management wants to remove pool data after a few data and store an archive of those records in Amazon S3. Which approach would allow the application to archive each poll's data while keeping complexity to a MINIMUM?

A.
Enable Time to Live (TTL) on the DynamoDB table. Enable DynamoDB Streams on the table and store the records removed from the stream in Amazon S3.
Answers
A.
Enable Time to Live (TTL) on the DynamoDB table. Enable DynamoDB Streams on the table and store the records removed from the stream in Amazon S3.
B.
Schedule an AWS Lambda function to periodically scan the DynamoDB table. Use the BatchWritten operation to delete the results of a scan Enable DynamoDB Stream on the table and store the records removed from the stream in Amazon S3.
Answers
B.
Schedule an AWS Lambda function to periodically scan the DynamoDB table. Use the BatchWritten operation to delete the results of a scan Enable DynamoDB Stream on the table and store the records removed from the stream in Amazon S3.
C.
Enable DynamoDB Streams on the table. Configure the steam as trigger for AWS Lambda. Save records to Amazon S3 when records on the stream are modified.
Answers
C.
Enable DynamoDB Streams on the table. Configure the steam as trigger for AWS Lambda. Save records to Amazon S3 when records on the stream are modified.
D.
Enable cross-Region replication on the S3 bucket to achieve the poll data.
Answers
D.
Enable cross-Region replication on the S3 bucket to achieve the poll data.
Suggested answer: C
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asked 16/09/2024
Jose Leston
41 questions
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