Cisco Exam 300-910 Topic 11 Question 71 Discussion

Actual exam question for Cisco's 300-910 exam

Question #: 71
Topic #: 11

[All 300-910 Questions]

What is a principle of chaos engineering?

Acommon user access on system monitoring infrastructure

Bproactive testing based on system responsiveness

Cprevent mistakes that cause infrastructure service disruption

Dreactive system monitoring for network infrastructure outages

Show Suggested Answer

Suggested Answer: B

by Herminia at Apr 11, 2024, 10:06 AM

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Meghan

7 hours ago

Absolutely. B is the textbook chaos engineering principle. Though I have to say, 'common user access on system monitoring infrastructure' is a new one to me. Is that some kind of next-level chaos engineering I'm not aware of?

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Eden

8 hours ago

You know it, my friend! I think option B is the way to go. Chaos engineering is all about purposefully injecting failures into your system to see how it responds. That way, you can identify and fix any weak points before they become a problem.

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Joni

1 days ago

Haha, yeah, C is a nice thought but a bit too idealistic. Chaos engineering is all about embracing the fact that mistakes and disruptions are inevitable, and figuring out how to deal with them.

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Aja

1 days ago

Whoa, this question is a real brain-teaser! I'm not too familiar with chaos engineering, but I'm guessing it's all about proactively testing your system's resilience, yeah?

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Jenifer

2 days ago

Yeah, B is the clear winner here. Though I do like the idea of 'prevent mistakes that cause infrastructure service disruption' - that's kind of the end goal of chaos engineering, isn't it?

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Edmond

4 days ago

I agree, B is the way to go. Chaos engineering is about being proactive and stress-testing your systems, not just reacting to issues. The whole point is to find weaknesses before they become real problems.

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Erick

6 days ago

This is a pretty straightforward chaos engineering question. I think the correct answer is B - proactive testing based on system responsiveness. Chaos engineering is all about deliberately introducing failures and disruptions to see how your system reacts, not just waiting for something to go wrong.

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