Amazon Exam BDS-C00 Topic 6 Question 93 Discussion

Actual exam question for Amazon's BDS-C00 exam

Question #: 93
Topic #: 6

An organization has added a clickstream to their website to analyze traffic. The website is sending each page request with the PutRecord API call to an Amazon Kinesis stream by using the page name as the partition key. During peak spikes in website traffic, a support engineer notices many ProvisionedThroughputExcededException events in the application logs.

What should be done to resolve the issue in the MOST cost-effective way?

ACreate multiple Amazon Kinesis streams for page requests to increase the concurrency of the clickstream.

BIncrease the number of shards on the Kinesis stream to allow for more throughput to meet the peak spikes in traffic.

CModify the application to use on the Kinesis Producer Library to aggregate requests before sending them to the Kinesis stream.

DAttach more consumers to the Kinesis stream to process records in parallel, improving the performance on the stream.

Show Suggested Answer

Suggested Answer: C

by Jettie at May 20, 2024, 08:09 AM

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Malinda

5 days ago

Hmm, I wonder if the website developers are just trying to break the Kinesis stream on purpose. 'Clickstream analysis' sounds like a fancy way of saying 'let's overwhelm the poor Kinesis stream!'

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Micah

13 days ago

C) Using the Kinesis Producer Library to aggregate requests sounds like a smart idea. That way, you can batch the records and reduce the number of API calls, which should help avoid the throughput exceptions.

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Boris

19 days ago

B) Increasing the number of shards seems like the most straightforward and effective way to handle the throughput issue. It's a simple fix that should solve the problem without too much overhead.

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Luisa

22 days ago

That's a good point, Sylvia. Option C could indeed help optimize the performance of the clickstream in a cost-effective way.

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Sylvia

23 days ago

I disagree with Luisa. I believe option C is the most cost-effective solution. Using the Kinesis Producer Library to aggregate requests before sending them to the stream will help reduce the number of ProvisionedThroughputExceededException events.

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Luisa

26 days ago

I think option B is the best choice. Increasing the number of shards will allow for more throughput during peak spikes in traffic.

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