Salesforce AI Associate Exam Questions
with Complete Solutions
What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations ✔️✔️Answer: B
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes. ✔️✔️Answer: B
A healthcare company implements an algorithm to analyze patient data and assist in medical
diagnosis.
Which primary role does data Quality play In this AI application?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Reduced need for healthcare expertise in interpreting AI outouts ✔️✔️Answer: A
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
with Complete Solutions
What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations ✔️✔️Answer: B
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes. ✔️✔️Answer: B
A healthcare company implements an algorithm to analyze patient data and assist in medical
diagnosis.
Which primary role does data Quality play In this AI application?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Reduced need for healthcare expertise in interpreting AI outouts ✔️✔️Answer: A
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
