Free Salesforce AI-Associate Exam Questions

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

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Total 339 Questions | Updated On: Jun 16, 2026

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Question 1

A job recruitment platform uses an AI model to rank applicants for employers. The AI model, trained on past employment data, considers qualifications, experience, and whether the applicant had taken any extended career breaks.

What is a primary ethical challenge when giving significant weight to extended career breaks?

A : The model may undervalue recent graduates or those transitioning careers

B : Emphasizing extended career breaks might inadvertently penalize applicants who took time off for personal reasons, like maternity or caregiving, perpetuating biases against certain demographics

C : The model might not adequately rank individuals with unconventional job experiences

Answer: B

Question 2

Lucas, a CRM manager, integrates an AI solution in Salesforce to assist in lead scoring for the sales team. Post-deployment, the sales team complains of significant inconsistencies between the model’s scores and the lead’s actual quality.

What might be a principal data quality problem causing these inconsistencies?

A : The dataset used has lead records coming from various marketing channels, such as social media, email, and events

B : A considerable chunk of the dataset has mismatched lead details, with some leads linked to outdated or irrelevant products

C : The AI model was trained on lead data accumulated over the past five years

Answer: B

Question 3

Liam, a customer service director, wants to understand the general sentiment of customer feedback provided in emails to improve service levels.

Which AI capability within Salesforce’s CRM should he utilize?

A : Einstein Bots

B : Einstein Sentiment Analysis

C : Einstein Analytics Data Discovery

Answer: B

Question 4

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 5

Which of the following is NOT typically considered a standard data quality dimension?

A : Completeness.

B : Timeliness of archival.

C : Accuracy

Answer: B

Page: 1 / 68

Total 339 Questions | Updated On: Jun 16, 2026

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