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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]

Several Db2 connections have been created on a Cloud Pak for Data platform. What must be done to monitor the metrics of these databases?

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Suggested Answer: D

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

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Chau
8 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
8 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
7 months ago
B) Small variations in quality may cause the wrong decision to be made.
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Ronnie
7 months ago
A) A drop in quality does not cause any harm to the business decisions made.
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Tien
8 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
8 months ago
Definitely, cutting corners on data quality can lead to serious consequences in AI models.
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Marguerita
8 months ago
I think B is the best option too. We can't afford to compromise on data quality.
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Kendra
8 months ago
I agree, quality is key for AI models to make accurate decisions.
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Barrett
9 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
9 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
9 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
8 months ago
Then it could definitely affect the decisions made by the AI model.
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Tu
8 months ago
But what if the drop in quality is significant?
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Deangelo
8 months ago
I think the AI algorithm should be able to compensate for any drop in quality.
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Ashton
8 months ago
I agree, small variations in quality can lead to wrong decisions.
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Cassi
9 months ago
I agree with Lamar, quality is crucial in Al models to ensure accurate decisions.
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Lamar
9 months ago
I think B) Small variations in quality may cause the wrong decision to be made.
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Britt
10 months ago
Which statement describes quality in Al models?
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