CompTIA CNX-001 Exam - Topic 2 Question 9 Discussion

Actual exam question for CompTIA's CNX-001 exam

Question #: 9
Topic #: 2

A company provides an API that runs on the public cloud for its customers. A fixed number of VMs host the APIs. During peak hours, the company notices a spike in usage that results in network communication speeds slowing down for all customers. The management team has decided that access for all customers should be fair and accessible at all times. Which of the following is the most cost-effective way to address this issue?

AUse an allow list for customers using APIs.

BIncrease the number of VMs running APIs.

CEnable throttling on APIs.

DIncrease the MTU on the VMs.

Show Suggested Answer

Suggested Answer: C

Implementing request throttling (rate limiting) lets you cap how many requests each customer can make per time unit. This ensures no single user can saturate the API servers, providing fair access across all customers without the recurring costs of adding more VMs.

by Lynelle at Aug 02, 2025, 11:14 PM

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Trinidad

7 months ago

Throttling is definitely the most cost-effective solution here.

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Haydee

7 months ago

I disagree, just add more VMs!

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Jessenia

7 months ago

Increasing MTU won't really help with speed issues.

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Kate

7 months ago

Wait, are they really considering an allow list? That seems odd.

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Jani

8 months ago

Throttling APIs sounds like a smart move.

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Chantell

8 months ago

Increasing the MTU sounds familiar, but I can't recall if that really helps with the speed issues we're seeing. Throttling seems more relevant here.

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Donte

8 months ago

I think we had a similar question on throttling and load balancing. It feels like the right approach to ensure fair access.

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Floyd

8 months ago

I'm not entirely sure, but increasing the number of VMs could be expensive in the long run. Throttling might be a better option.

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Valene

9 months ago

I remember we discussed API throttling in class, and it seems like a good way to manage usage without adding costs.

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Stephen

9 months ago

I'm pretty confident that the throttling option is the way to go here. It allows you to manage the API usage during peak times without having to invest in additional infrastructure. Plus, it ensures fair access for all customers, which is the main goal.

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Carman

9 months ago

Okay, let's think this through. An allow list for customers might work, but that could be a hassle to manage. Increasing the MTU on the VMs doesn't seem directly relevant to the issue. I'm leaning towards the throttling option as the most cost-effective solution.

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Donte

9 months ago

Hmm, I'm a bit unsure about this one. Increasing the number of VMs seems like it could work, but that might get expensive. Throttling the APIs could be a good option, but I'm not sure if that's the most cost-effective approach.

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Kayleigh

9 months ago

This seems like a straightforward question about managing API usage during peak times. I think the key is to find the most cost-effective solution that ensures fair access for all customers.

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Elouise

10 months ago

D) Increasing the MTU on the VMs? Really? That's like trying to fix a leaky faucet by changing the wallpaper. C) all the way!

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Corrie

10 months ago

Increasing the MTU on the VMs could also help improve network speeds during peak hours.

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Tequila

11 months ago

B) Increasing the number of VMs running APIs seems like the easiest solution, but it might not be the most cost-effective in the long run. I'd go with C) throttling.

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Tamie

11 months ago

I believe using an allow list for customers using APIs is the way to go.

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Grover

11 months ago

I disagree, enabling throttling on APIs would be more cost-effective.

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Chaya

11 months ago

I think increasing the number of VMs running APIs is the best option.

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Franchesca

11 months ago

I think the best option here is C) Enable throttling on APIs. This way, the company can ensure fair access for all customers without having to invest in additional VMs.

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Tamala

11 months ago

I agree, enabling throttling on APIs seems like the most cost-effective solution.

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