Pass Your Salesforce-AI-Associate Dumps as PDF Updated on 2023 With 78 Questions [Q14-Q32]

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Pass Your Salesforce-AI-Associate Dumps as PDF Updated on 2023 With 78 Questions

Salesforce Salesforce-AI-Associate Real Exam Questions and Answers FREE

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic Details
Topic 1
  • Describe the ethical challenges of AI
  • Describe the elements
  • components of data quality
Topic 2
  • Identify CRM AI capabilities
  • Differentiate between the types of AI and their capabilities
Topic 3
  • Describe the importance of data quality
  • Explain the basic principles and applications of AI within Salesforce
Topic 4
  • Apply Salesforce’s Trusted AI Principles to given scenarios
  • Describe the benefits of AI as they apply to CRM
Topic 5
  • AI Capabilities in CRM
  • Ethical Considerations of AI
  • AI Fundamentals

 

Q14. How is natural language processing (NLP) used in the context of AI capabilities?

 
 
 

Q15. A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application.
Which Einstein functionality provides the best solution?

 
 
 

Q16. What is a Key consideration regarding data quality in AI implementation?

 
 
 

Q17. A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

 
 
 

Q18. The Cloud technical team is assessing the effectiveness of their AI development processes?
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?

 
 
 

Q19. How does the “right of least privilege” reduce the risk of handling sensitive personal data?

 
 
 

Q20. What is an example of ethical debt?

 
 
 

Q21. Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

 
 
 

Q22. 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?

 
 
 

Q23. Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

 
 
 

Q24. What should be done to prevent bias from entering an AI system when training it?

 
 
 

Q25. Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

 
 
 

Q26. Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
Which feature should be used to accomplish this?

 
 
 

Q27. A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce’s Trusted AI Principle of Transparency?

 
 
 

Q28. Which features of Einstein enhance sales efficiency and effectiveness?

 
 
 

Q29. Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

 
 
 

Q30. What is a sensitive variable that car esc to bias?

 
 
 

Q31. Why is it critical to consider privacy concerns when dealing with AI and CRM data?

 
 
 

Q32. What are the key components of the data quality standard?

 
 
 

Pass Salesforce Salesforce-AI-Associate Exam Info and Free Practice Test: https://www.actualtorrent.com/Salesforce-AI-Associate-questions-answers.html

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