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PeopleCert AIOps Foundation Exam - Topic 2 Question 11 Discussion

Actual exam question for PeopleCert's AIOps Foundation exam

Question #: 11
Topic #: 2

[All AIOps Foundation Questions]

Which of the following is a characteristic of Machine Learning?

ARequires explicit programming to learn

BA superset of Al

CUses small amounts of historical data to generate accurate inferences or prediction

DGradually improves accuracy through iterative optimization

Show Suggested Answer

Suggested Answer: D

by Madelyn at Apr 04, 2025, 03:48 PM

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Tyra

7 months ago

Yeah, iterative optimization is key for better results!

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Katy

7 months ago

Isn't it just a part of AI, not a superset?

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Chery

7 months ago

I thought it needed a lot of data to work well, though.

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Reiko

7 months ago

Wait, so it doesn't require explicit programming? That sounds off.

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Viola

7 months ago

Machine Learning definitely improves accuracy over time!

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Thaddeus

8 months ago

Option C seems off to me; I thought machine learning typically uses larger datasets to make accurate predictions, not small amounts.

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Tijuana

8 months ago

I recall a practice question that mentioned ML as a subset of AI, so option B could be relevant too, but I’m not completely confident.

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Pete

8 months ago

I'm not entirely sure, but I feel like option A might be misleading since ML doesn't always require explicit programming.

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Carin

8 months ago

I think option D sounds right because I remember learning that machine learning models improve over time with more data.

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Glenn

9 months ago

I'm a bit stuck on this one. I know machine learning is related to AI, but I'm not sure how to distinguish the characteristics. I'll have to review my notes to be sure.

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Alfred

9 months ago

I remember learning about machine learning in class. I believe the correct answer is D - machine learning models gradually improve their accuracy through iterative optimization.

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Shenika

9 months ago

Okay, let me break this down. I know machine learning involves learning from data without explicit programming, so that rules out option A. I think the key is to identify the characteristic that best describes machine learning.

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Jeannetta

9 months ago

Hmm, I'm a little unsure about the differences between machine learning and AI. I'll need to think this through carefully.

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Jame

9 months ago

This question seems straightforward, I'm pretty confident I know the answer.

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Laurel

1 year ago

I'm just glad they didn't ask about the difference between Machine Learning and Deep Learning. That would really make my head spin!

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Crista

1 year ago

C) Uses small amounts of historical data to generate accurate inferences or prediction

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Samuel

1 year ago

D) Gradually improves accuracy through iterative optimization

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Tamra

1 year ago

A) Requires explicit programming to learn

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Coral

1 year ago

Ha! Small amounts of data to make accurate predictions? That's a good one. Option D is the way to go, no doubt.

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Rosenda

1 year ago

I agree, Machine Learning gets better through iterative optimization. Option D all the way!

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Geraldo

1 year ago

Option D is definitely the best choice. Machine Learning improves accuracy over time.

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Luisa

1 year ago

I'm not sure, but I think the answer might be B. Machine Learning is a superset of Al.

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Shawana

1 year ago

Hmm, I'm torn between B and D. Machine Learning is a type of AI, but it also gets better over time. I'll have to think about this one a bit more.

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Anglea

1 year ago

Definitely not option A - Machine Learning is all about letting the algorithms do the learning, not explicit programming. Option D sounds right to me.

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Lino

1 year ago

I disagree, I believe the answer is C. Machine Learning can generate accurate predictions with small amounts of data.

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Gregoria

1 year ago

I'm pretty sure Machine Learning involves learning from data without being explicitly programmed. So I'd go with option D.

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Sheridan

1 year ago

Great, so we all agree that option D is the characteristic of Machine Learning.

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Lashawnda

1 year ago

Option D is correct, Machine Learning gradually improves accuracy through iterative optimization.

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Jovita

1 year ago

I agree, that's why I would choose option D.

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Lorenza

1 year ago

I think Machine Learning involves learning from data without being explicitly programmed.

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Kate

1 year ago

Actually, Machine Learning gradually improves accuracy through iterative optimization, so option D is correct.

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Wilda

1 year ago

I'm not sure, but I think it's option C.

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Lucina

1 year ago

I agree, that's why I would choose option D.

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Maurine

1 year ago

I think Machine Learning involves learning from data without being explicitly programmed.

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Tijuana

1 year ago

I think the answer is D, because Machine Learning improves accuracy over time.

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