Microsoft AI-900 Exam - Topic 4 Question 78 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 78
Topic #: 4

You are building an Al-based loan approval app.

You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.

This is an example of which Microsoft responsible Al principle?

Afairness

Binclusiveness

Ctransparency

Daccountability

Show Suggested Answer

Suggested Answer: C

by Leslie at Sep 19, 2024, 07:32 AM

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Eun

6 months ago

Surprised this isn't about fairness, honestly.

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Terrilyn

6 months ago

Makes sense, applicants need to know why!

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Letha

7 months ago

Really? I thought it was more about accountability.

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Toi

7 months ago

Totally agree, transparency is key here.

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Callie

7 months ago

This is all about transparency!

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Monte

7 months ago

I lean towards transparency too, but I wonder if inclusiveness could also play a role in how applicants perceive the app's decisions.

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Ena

8 months ago

This question feels similar to one we practiced on fairness and how it applies to decision-making in AI.

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Annamae

8 months ago

I'm not entirely sure, but I remember something about accountability being important in AI. Maybe it's that?

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Rosina

8 months ago

I think this might relate to transparency since the app needs to document the reasons for loan decisions.

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Han

8 months ago

I'm a little confused by this question. The options all seem related to responsible AI, but I'm not sure which one is the best fit. I'll have to review the principles again before answering.

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Lashawna

8 months ago

Okay, I've got this. The question is asking about the principle that requires the AI system to document and explain its decisions, which is transparency. That's the right answer here.

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Aleisha

8 months ago

Hmm, I'm a bit unsure about this one. The question is asking about the specific principle, but there are a few options that seem relevant. I'll need to think this through carefully.

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Janella

8 months ago

This seems like a straightforward question about Microsoft's responsible AI principles. I think the key here is ensuring transparency, so I'll go with option C.

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Cordelia

8 months ago

Announcing internal audits and getting a strong policy statement from leadership are both solid moves to set the tone from the top. I'd go with option A.

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Lynelle

2 years ago

Hmm, this is a tough one. I'm gonna go with C - transparency. Seems like the most important principle for an AI that's making big decisions about people's finances, you know?

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Ludivina

2 years ago

Transparency all the way! I mean, if the app is just gonna reject people without explaining why, that's not very responsible. Gotta let them know what's up.

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Julene

2 years ago

Ooh, this is a tricky one. I'm going to go with accountability. The app needs to be responsible for its decisions and stand behind them, right?

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Gwen

2 years ago

I think it's a trick question. The answer is clearly transparency, but the question is just trying to confuse us. Nice try, but I'm not falling for it!

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Ronny

2 years ago

Yeah, transparency is crucial for building trust with users. We need to show them how the app works and why it makes certain decisions.

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Rutha

2 years ago

Transparency is definitely the right choice. We have to be open and honest about the decision-making process.

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Laurel

2 years ago

I agree, transparency is the key here. We need to make sure the app is clear about why loans are approved or rejected.

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Johnetta

2 years ago

I think it's transparency too. They want us to think it's something else, but I'm sticking with my answer.

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Nguyet

2 years ago

Definitely transparency. The responsible AI principles are all about being open and accountable, and this question is all about that.

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Annice

2 years ago

D) transparency

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Cordelia

2 years ago

C) transparency

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Margart

2 years ago

A) transparency

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Ressie

2 years ago

I believe it could also be D) accountability, as the app needs to be accountable for its decisions.

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Ines

2 years ago

Transparency is the key here. The app needs to explain its decisions to the applicants, so they can understand why their loan was approved or rejected.

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