Free Salesforce AI-Associate Exam Questions
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Salesforce AI-Associate Exam Questions
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Provided By: Salesforce
- Exam: Salesforce Certified AI Associate (WI25)
- Certification: Salesforce Associate
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Total Questions: 339
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Updated On: Jun 04, 2025
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Rated: 4.9 |
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Online Users: 678
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Question 1
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John is preparing data to train an AI model for predicting customer churn on Salesforce.
Which of the following data issues would MOST undermine the accuracy and reliability of his churn prediction model?
Answer: B
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John is preparing data to train an AI model for predicting customer churn on Salesforce.
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Question 2
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What is the role of Salesforce Trust AI principles in the context of CRM system?
Answer: A
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What is the role of Salesforce Trust AI principles in the context of CRM system?
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Question 3
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A city’s traffic department deploys an AI system to adjust the timing of traffic lights to optimize traffic flow. However, pedestrians report an increase in wait times at crossings, with no explanation provided for the change.
What ethical challenge related to the lack of transparency in AI does this situation best embody?
Answer: B
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A city’s traffic department deploys an AI system to adjust the timing of traffic lights to optimize traffic flow. However, pedestrians report an increase in wait times at crossings, with no explanation provided for the change.
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Question 4
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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?
Answer: B
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Liam, a customer service director, wants to understand the general sentiment of customer feedback provided in emails to improve service levels.
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Question 5
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An online tutoring platform employs a machine learning model to match students with tutors. The model uses data such as student’s past performance, learning style, and first language.
What ethical concern might arise if the model overly emphasizes the student’s first language?
Answer: B
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An online tutoring platform employs a machine learning model to match students with tutors. The model uses data such as student’s past performance, learning style, and first language.