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Question 590 - DVA-C01 discussion

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A company is developing a microservice that will manage customer account data in an Amazon DynamoDB table. Insert, update, and delete requests will be rare. Read traffic will be heavy. The company must have the ability to access customer data quickly by using a customer ID. The microservice can tolerate stale data.

Which solution will meet these requirements with the FEWEST possible read capacity units (RCUs)?

A.
Read the table by using eventually consistent reads.
Answers
A.
Read the table by using eventually consistent reads.
B.
Read the table by using strongly consistent reads.
Answers
B.
Read the table by using strongly consistent reads.
C.
Read the table by using transactional reads.
Answers
C.
Read the table by using transactional reads.
D.
Read the table by using strongly consistent PartiQL queries.
Answers
D.
Read the table by using strongly consistent PartiQL queries.
Suggested answer: A

Explanation:

Key points: "Read heavy", "access data quickly", "can tolerate stale data" To achieve: "FEWEST" possible (RCUs) For items up to 4 KB in size, one RCU can perform one strongly consistent read request per second. For items up to 4 KB in size, one RCU can perform two eventually consistent read requests per second. Transactional read requests require two RCUs to perform one read per second for items up to 4 KB.

For example, a strongly consistent read of an 8 KB item would require two RCUs, an eventually consistent read of an 8 KB item would require one RCU, and a transactional read of an 8 KB item would require four RCUs. https://aws.amazon.com/dynamodb/pricing/provisioned/

asked 16/09/2024
Benice dobbins
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