Free Salesforce AI-Associate Exam Questions

Become Salesforce Certified with updated AI-Associate exam questions and correct answers

Page: 1 / 68

Total 339 Questions | Updated On: Aug 12, 2026

Add To Cart

Question 1

A finance firm is employing an AI model on Salesforce to predict loan defaults. Despite high accuracy during testing, the model seems to perform poorly in real-world scenarios.

Which data quality issue might be the chief cause for this performance gap?

A : The dataset includes records of both individual and corporate borrowers

B : Some records in the dataset have missing or incorrectly filled financial metrics

C : The model was trained using a mixture of defaulted and non-defaulted loan cases

Answer: B

Question 2

What are some of the ethical challenges associated with AI development?

A : Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

B : Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions

C : Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Answer: A

Question 3

Which action should be taken to develop and implement trusted generated AI with Salesforce’s safety guideline in mind?

A : Develop right-sized models to reduce our carbon footprint.

B : Create guardrails that mitigates toxicity and protect PII

C : Be transparent when AI has created and automatically delivered content.

Answer: B

Question 4

Liam, a sales director at HealthFit, wants to gain insights into which of their fitness products is most likely to be popular in the coming quarter based on historical sales and current market trends.

Which AI feature within Salesforce would be most effective for Liam’s goal?

A : Einstein Voice for logging sales calls via voice commands

B : Einstein Predictive Forecasting to project future sales trends

C : Einstein Chatbots for automating customer support chats

Answer: B

Question 5

A financial institution uses an AI model to decide whether or not to approve loans. When asked by rejected applicants about the reason for their denial, the bank is unable to provide a clear justification.

What ethical challenge regarding the lack of transparency in AI is highlighted in this scenario?

A : Data privacy concerns

B : Inexplicability of decision-making

C : Inadequate model testing

Answer: B

Page: 1 / 68

Total 339 Questions | Updated On: Aug 12, 2026

Add To Cart