Oracle Exam 1Z0-1122-24 Topic 1 Question 17 Discussion

Actual exam question for Oracle's 1Z0-1122-24 exam

Question #: 17
Topic #: 1

[All 1Z0-1122-24 Questions]

What is the difference between classification and regression in Supervised Machine Learning?

AClassification and regression both assign data points to categories.

BClassification predicts continuous values, whereas regression assigns data points to categories.

CClassification assigns data points to categories, whereas regression predicts continuous values.

DClassification and regression both predict continuous values.

Show Suggested Answer

Suggested Answer: A

Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.

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by Ahmed at Mar 07, 2025, 12:23 PM

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Laurel

28 days ago

I see your point, Gianna. So, the answer is indeed A) Explicability.

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Gianna

1 months ago

Fairness is important too, but in this case, it's more about being able to understand and explain the AI's decisions.

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Mabel

1 months ago

But what about fairness? Doesn't that also play a role in transparency?

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Laurel

1 months ago

I agree with Gianna, transparency is all about being able to explain how AI decisions are made.

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Gianna

1 months ago

I think the answer is A) Explicability.

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Felicitas

2 months ago

Haha, I bet the AI assistant created this question. But I'll go with A) Explicability - it seems like the most relevant principle for requiring transparency.

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