Logo ExamsQA
Exit
Official Bank 0/105

Salesforce AI Associate Certification Exam (AI Associate) - Salesforce Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
105 Total Questions
1
Question
A financial institution plans a campaign for preapproved credit cards?

How should they implement Salesforce’s Trusted AI Principle of Transparency?
Options
A Flag sensitive variables and their proxies to prevent discriminatory lending practices.
B Communicate how risk factors such as credit score can impact customer eligibility.
C Incorporate customer feedback into the model’s continuous training.
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

2
Question
Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails?
Options
A Machine learning
B Natural language processing
C Deep learning
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

3
Question
The Cloud technical team is assessing the effectiveness of their AI development processes?

Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?
Options
A Ethical AI Process Maturity Model
B Ethical AI Prediction Maturity Model
C Ethical AI practice Maturity Model
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

4
Question
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.

How will this incomplete data quality impact the company's operations?
Options
A The diversity of product recommendations Is Improved.
B The accuracy of product recommendations is hindered.
C The response time for product recommendations is stalled.
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

5
Question
What is a possible outcome of poor data quality?
Options
A Biases in data can be inadvertently learned and amplified by AI systems.
B AI models maintain accuracy but have slower response times.
C AI predictions become more focused and less robust.
Discussion (0 comments)

to join the discussion

Community Discussion

No discussions yet. Be the first to ask!

Finish Practice?

Are you sure you want to finish? This will end your practice session.