Exam CV0-003 All QuestionsBrowse all questions from this exam
Question 247

A company is using an IaC deployment model to a public cloud IaaS. The automation runs partially and then fails to build a VM in the IaaS environment. Upon further assessment, the connectivity to the IaaS is confirmed. Which of the following are the MOST likely causes of the failure? (Choose two.)

    Correct Answer: A, D

    The most likely causes of the failure include insufficient account balance and API request limits. If the company's account balance is insufficient, it may prevent the successful creation of a VM in the public cloud IaaS environment. Additionally, exceeding the allowed API request limits within a specific timeframe could result in the failure to build a VM. This aligns with scenarios where part of the automation runs before failing, suggesting constraints that come into play after initial processes, such as financial or API usage limitations.

Discussion
SecPlus2022Options: AD

If "connectivity to the IaaS is confirmed", how can one of the answers be "network settings"?

ROCompTIAOptions: AD

If the company's account balance is insufficient, it may prevent the successful creation of a VM. Exceeding the allowed API request limits within a specific timeframe, it could result in the failure to build a VM

Pisces225Options: DE

Setting up the IaC you would probably be running some API calls and since the build starts but fails you could easily be running into storage limits. Going solo on the D/E vote here, but it's what I would put on the exam. In my mind: A - you wouldn't even be able to start the deployment B - nonsense C - entirely unrelated nonsense D - ok, I can see this (check) E - again, you couldn't even kick the deployment off in the first place F - starts but doesn't finish... yeah, this could be a factor (check here too)

BlueMan93Options: DF

If API request limits are reached, it will stop/fail, if storage is used up it will fail.

JoerelOptions: BD

BD - B. Network settings and D. API request limits.

FasterN8Options: EF

EF. But I'm not sure about F. I could maybe go with D instead. Now, I'm just an unfrozen caveman, but what I DO know is that it CAN'T be: A - this is not how public cloud work. They're all build now, pay later model. It's written into the terms of service that you have to pay for everything you build. B - They already said the connectivity is fine. C - Improper tagging would not stop a build. Now, D. Eh, maybe, but probably not. The question doesn't say how much they're building but you don't normally run into this. E - Definitely this. The account running doesn't have VM contributor role or whatever is necessary. F - Forgot to make a storage account? = Inadequate storage.

FrancisDrakeOptions: AF

Through process of elimination.

PongsathornOptions: BD

B. Network settings D. API request limits When using Infrastructure as Code (IaC) to deploy resources in a public cloud Infrastructure as a Service (IaaS) environment, there are several potential reasons for deployment failures: B. Network settings: Incorrect network configuration, security group rules, or routing settings can lead to connectivity issues and deployment failures. D. API request limits: Public cloud providers often have rate limits on API requests. If these limits are exceeded, it can lead to deployment failures. Monitoring and managing API request limits is essential to avoid this issue. While the other factors like account balance, resource tagging, administrator access, and storage can impact cloud operations, they are less likely to directly cause a deployment failure related to IaC.

PongsathornOptions: BE

B. Network settings D. API request limits When using Infrastructure as Code (IaC) to deploy resources in a public cloud Infrastructure as a Service (IaaS) environment, there are several potential reasons for deployment failures: B. Network settings: Incorrect network configuration, security group rules, or routing settings can lead to connectivity issues and deployment failures. D. API request limits: Public cloud providers often have rate limits on API requests. If these limits are exceeded, it can lead to deployment failures. Monitoring and managing API request limits is essential to avoid this issue. While the other factors like account balance, resource tagging, administrator access, and storage can impact cloud operations, they are less likely to directly cause a deployment failure related to IaC.