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Feb 18, 2025 Salesforce-AI-Associate Exam Crack Test Engine Dumps Training With 104 Questions [Q28-Q44]

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2025 年 2 月 18 日，Salesforce-AI-Associate 考试破解测试引擎 Dumps 培训，含 104 个问题

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

主题 详细信息
主题 1
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
主题 2
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
主题 3
  • AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.
主题 4
  • Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply Trusted AI Principles of Salesforce to given scenarios.

 

Q28. Cloud Kicks wants to use Einstein Prediction Builder to determine a customer’s likelihood of buying specific products; however, data quality is a…
How can data quality be assessed quality?

 
 
 

Q29. What should an organization do to enforce consistency across accounts for newly entered records?

 
 
 

Q30. What is the significance of explainability of trusted AI systems?

 
 
 

Q31. Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

 
 
 

Q32. How does AI which CRM help sales representatives better understand previous customer interactions?

 
 
 

Q33. A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

 
 
 

Q34. What is the key difference between generative and predictive AI?

 
 
 

Q35. Which type of bias imposes a system ‘s values on others?

 
 
 

Q36. What are some key benefits of AI in improving customer experiences in CRM?

 
 
 

Q37. What are the key components of the data quality standard?

 
 
 

Q38. Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

 
 
 

Q39. What is a key characteristic of machine learning in the context of AI capabilities?

 
 
 

Q40. Cloud Kicks wants to use AI to enhance its sales processesand customer support.
Which capacity should they use?

 
 
 

Q41. What is a societal implication of excluding ethics in AI development?

 
 
 

Q42. What is a benefit of a diverse, balanced, and large dataset?

 
 
 

Q43. What is the role of Salesforce Trust AI principles in the context of CRM system?

 
 
 

Q44. What are the key components of the data quality standard?

 
 
 

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