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Amazon Exam SAP-C02 Topic 7 Question 12 Discussion

Actual exam question for Amazon's SAP-C02 exam
Question #: 12
Topic #: 7
[All SAP-C02 Questions]

A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table. The table uses on-demand capacity mode. Once each day at midnight, a few million new records are loaded into the table. Application read activity against the table happens in bursts throughout the day. and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.

Which strategy should a solutions architect recommend to meet this requirement?

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Suggested Answer: A

it will use the ALB to handle the unpredictable bursts of traffic and route it to the SQS queue. The SQS queue will act as a buffer to store incoming data temporarily and the container running in Amazon ECS with the Fargate launch type will process messages in the queue. This approach will ensure that all data is processed and prevent data loss.


Contribute your Thoughts:

Remedios
27 days ago
D looks like the full package - DAX, provisioned capacity, and auto-scaling. It's like a Swiss Army knife for this DynamoDB problem.
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Malcolm
28 days ago
C is tempting, but I don't think provisioned capacity is the answer. Gotta take advantage of those DynamoDB features to optimize performance and cost.
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Alva
29 days ago
I'm going with B. DAX and auto-scaling sounds like the way to go here. Beats having to manually provision capacity and worry about those pesky Savings Plans.
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Candida
1 months ago
Wait, so we need to reduce costs, but they're loading in millions of records daily? That's like trying to save money on your electricity bill while running a Bitcoin mining operation out of your basement!
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Rory
23 days ago
A: B) Deploy DynamoDB Accelerator (DAX). Configure DynamoDB auto scaling. Purchase Savings Plans in Cost Explorer
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Lashawn
2 months ago
I'm not sure about option C. Provisioned capacity may not be cost-effective for this scenario with fluctuating read activity.
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Eva
2 months ago
I agree with Tom. Using DAX and auto scaling can optimize costs while ensuring performance.
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Tom
2 months ago
I think option B is the best choice. DAX can help with read activity bursts and auto scaling can adjust capacity based on demand.
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