IBM Exam C1000-136 Topic 5 Question 40 Discussion

Actual exam question for IBM's C1000-136 exam

Question #: 40
Topic #: 5

[All C1000-136 Questions]

Which statement describes quality in Al models?

AA drop in quality does not cause any harm to the business decisions made.

BSmall variations in quality may cause the wrong decision to be made.

CThe Al algorithm itself will compensate for the drop in quality of the data at runtime.

DQuality of decisions in an Al model is not so significant for multi-classification models.

Show Suggested Answer

Suggested Answer: D

by Elfriede at Jul 09, 2024, 05:23 AM

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Chau

13 days ago

As an AI enthusiast, I have to say B is the way to go. Maintaining data quality is the foundation for trustworthy AI-powered decisions.

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Almeta

15 days ago

Haha, D? Really? Clearly the person who wrote that option has never worked with real-world AI systems. Quality is king, no matter the model type.

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Tien

17 days ago

I'm going with B. Quality is crucial for AI models to make reliable decisions. Cutting corners on data quality is a recipe for disaster.

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Kendra

6 days ago

I agree, quality is key for AI models to make accurate decisions.

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Barrett

23 days ago

I believe C) The Al algorithm itself will compensate for the drop in quality of the data at runtime is also important to consider.

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Jennifer

24 days ago

C seems like a tempting answer, but we all know AI algorithms can't magically compensate for poor data quality. Nice try, though!

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2 months ago

Which statement describes quality in Al models?

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