Salesforce AI Associate Exam Questions with Verified
Answers
What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Data privacy
C. Model accuracy - -Answer: C
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
Answers
What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Data privacy
C. Model accuracy - -Answer: C
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
