Salesforce Exam Salesforce AI Associate Topic 4 Question 30 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 30
Topic #: 4

[All Salesforce AI Associate Questions]

A financial institution plans a campaign for preapproved credit cards?

How should they implement Salesforce's Trusted AI Principle of Transparency?

ACommunicate how risk factors such as credit score can impact customer eligibility.

BFlag sensitive variables and their proxies to prevent discriminatory lending practices.

CIncorporate customer feedback into the model's continuous training.

Show Suggested Answer

Suggested Answer: B

''Flagging sensitive variables and their proxies to prevent discriminatory lending practices is how they should implement Salesforce's Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with. Flagging sensitive variables and their proxies means identifying and marking variables that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems.''

by Tuyet at Sep 16, 2024, 12:29 PM

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Lyndia

3 days ago

This question seems pretty straightforward. I think the key is to focus on the Trusted AI Principle of Transparency that Salesforce recommends. Option A looks like the best approach to me - clearly communicating how risk factors like credit score can impact eligibility.

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Jettie

14 days ago

I'm feeling pretty confident about this one. Based on the details provided, option A seems like the best approach. Implementing a serviceUnavailableException exception handler to execute fallback code sounds like the most direct way to add the required fault tolerance capabilities.

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Elfriede

12 months ago

Ah, the eternal struggle of balancing transparency and efficiency. Maybe they could just roll the dice and call it a day?

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Hoa

11 months ago

C) Incorporate customer feedback into the model's continuous training.

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Leota

11 months ago

B) Flag sensitive variables and their proxies to prevent discriminatory lending practices.

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Rodney

11 months ago

A) Communicate how risk factors such as credit score can impact customer eligibility.

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Belen

1 years ago

As long as the model doesn't discriminate, who cares about transparency? Just give me the card and let me max it out!

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Carylon

1 years ago

Option C is interesting, but I'm not sure how practical it would be to continuously retrain the model based on customer feedback. A and B seem more realistic.

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