Cisco Exam 200-901 Topic 8 Question 72 Discussion

Actual exam question for Cisco's 200-901 exam

Question #: 72
Topic #: 8

A developer must test the performance and reliability of an application. After functional and load tests are run, the application crashes due to traffic spikes from users. Which type of API constraint must be implemented to maintain reliability?

Arate limiting

Bpagination

Cpayload limits

Dfiltering

Show Suggested Answer

Suggested Answer: A

by Cheryl at Apr 14, 2024, 04:31 PM

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Valentin

5 months ago

Pagination might help with organizing data, but rate limiting seems more relevant for handling traffic.

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Jacquelyne

6 months ago

I think pagination could also help with managing the traffic spikes.

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Jaime

6 months ago

I agree with Valentin. Rate limiting would help control the traffic spikes.

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Valentin

6 months ago

I think the answer is A) rate limiting.

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Chaya

7 months ago

That makes sense too. Payload limits can definitely help with reliability.

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Myong

7 months ago

I believe the answer is C) payload limits. By limiting the amount of data in each request, it can help prevent crashes.

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Mariann

7 months ago

I agree with Rate limiting can help control the amount of traffic coming in.

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Chaya

7 months ago

I think the answer is A) rate limiting.

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Laila

8 months ago

Filtering? Are you kidding me? That's like trying to put out a forest fire with a squirt gun. Rate limiting is the way to go, no doubt about it. It's like a bouncers at the door, keeping the riff-raff out during the busy nights.

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Loren

8 months ago

Filtering? Really? That's like trying to plug a dam with a Band-Aid. Rate limiting is the way to go, no doubt about it.

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Nickolas

8 months ago

Hmm, I'm not so sure. What if the application needs to handle a wide range of queries and data? Wouldn't filtering be a better option to keep things running smoothly?

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Carmela

8 months ago

I agree, rate limiting is definitely the way to go. Trying to implement pagination or payload limits might help, but they don't directly address the core issue of handling those sudden bursts of traffic.

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Gail

7 months ago

I agree, it will help manage the traffic spikes effectively.

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Minna

7 months ago

I think rate limiting is the best option here.

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Kara

8 months ago

You guys are all overthinking this. The answer's clearly filtering. If you can filter out the unnecessary requests, you can keep your app running smoothly, no problem.

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Penney

8 months ago

Hold up, what about payload limits? If the crashes are due to massive amounts of data being sent, that could be the culprit. Gotta keep those payloads lean and mean!

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Leonora

8 months ago

Ah, the good old performance and reliability dilemma. This is a classic scenario where rate limiting seems like the obvious choice to maintain reliability during those pesky traffic spikes.

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Micaela

8 months ago

Nah, I don't think rate limiting is the way to go. Pagination might be a better option - that way you can break up the traffic and serve it in smaller chunks.

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Nikita

8 months ago

Yeah, pagination can definitely help in breaking up the traffic into smaller, more manageable pieces.

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Kati

8 months ago

I think payload limits could help, but pagination would be more effective in managing the flow of traffic.

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Chan

8 months ago

But what about payload limits? Wouldn't that help in preventing crashes too?

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Nikita

8 months ago

I agree, pagination seems like a good choice to handle traffic spikes.

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Chantay

8 months ago

I'm pretty sure the answer is rate limiting. When you've got traffic spikes, you need to throttle the number of requests to keep your app from crashing, you know?

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Tyra

8 months ago

Oh man, this question is a real brain-teaser! I've been studying up on API constraints, but this one's got me stumped. What do you guys think?

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