Free Salesforce AI-Associate Exam Questions
Absolute Free AI-Associate Exam Practice for Comprehensive Preparation
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Salesforce AI-Associate Exam Questions
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Provided By: Salesforce
- Exam: Salesforce Certified AI Associate (WI25)
- Certification: Salesforce Associate
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Total Questions: 339
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Updated On: Mar 27, 2025
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Rated: 4.9 |
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Online Users: 678
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Question 1
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What should be done to prevent bias from entering an AI system when training it?
Answer: B
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What should be done to prevent bias from entering an AI system when training it?
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Question 2
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A health insurance company utilizes an AI system to adjust policy premiums based on users’ personal health data. After implementation, policyholders notice significant inconsistencies in premium adjustments but are not given an explanation as to why.
Which ethical challenge related to the lack of transparency in AI does this situation best represent?
Answer: B
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A health insurance company utilizes an AI system to adjust policy premiums based on users’ personal health data. After implementation, policyholders notice significant inconsistencies in premium adjustments but are not given an explanation as to why.
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Question 3
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A sales representative at TechCorp wants to utilize Salesforce AI capabilities to predict which leads are most likely to convert into sales.
Which Einstein AI feature should she consider using?
Answer: B
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A sales representative at TechCorp wants to utilize Salesforce AI capabilities to predict which leads are most likely to convert into sales.
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Question 4
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A retail company uses Salesforce’s AI tools for personalized customer advertisements. They find that certain demographic groups receive fewer promotional offers than others, which wasn’t an intentional design.
Which Salesforce’s Trusted AI principle is the company neglecting?
Answer: A
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A retail company uses Salesforce’s AI tools for personalized customer advertisements. They find that certain demographic groups receive fewer promotional offers than others, which wasn’t an intentional design.
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Question 5
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A financial institution uses a machine learning model to assess loan eligibility based on an applicant’s credit history, employment status, and neighborhood of residence.
What ethical challenge might arise from considering the neighborhood of residence in the assessment?
Answer: B
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A financial institution uses a machine learning model to assess loan eligibility based on an applicant’s credit history, employment status, and neighborhood of residence.