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

4 months 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

4 months 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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Kati

3 months ago

B) Small variations in quality may cause the wrong decision to be made.

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Ronnie

3 months ago

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

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Tien

4 months 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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Geraldo

3 months ago

Definitely, cutting corners on data quality can lead to serious consequences in AI models.

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Marguerita

3 months ago

I think B is the best option too. We can't afford to compromise on data quality.

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Kendra

4 months ago

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

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Barrett

4 months 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

4 months 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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Geraldo

4 months ago

Hmm, I think option B is the correct answer. Even small variations in data quality can have a big impact on the decisions made by AI models.

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Yolande

3 months ago

Then it could definitely affect the decisions made by the AI model.

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Tu

4 months ago

But what if the drop in quality is significant?

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Deangelo

4 months ago

I think the AI algorithm should be able to compensate for any drop in quality.

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Ashton

4 months ago

I agree, small variations in quality can lead to wrong decisions.

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Cassi

5 months ago

I agree with Lamar, quality is crucial in Al models to ensure accurate decisions.

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Lamar

5 months ago

I think B) Small variations in quality may cause the wrong decision to be made.

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Britt

5 months ago

Which statement describes quality in Al models?

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