[Mar 07, 2026] Salesforce Salesforce-AI-Associate Exam Dumps Are Essential To Get Good Marks [Q52-Q73]

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[Mar 07, 2026] Salesforce Salesforce-AI-Associate Exam Dumps Are Essential To Get Good Marks

Latest Salesforce Salesforce-AI-Associate Dumps with Test Engine and PDF (New Questions)

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic Details
Topic 1
  • 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.
Topic 2
  • 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 the Trusted AI Principles of Salesforce to given scenarios.
Topic 3
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 4
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

 

NO.52 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?

 
 
 

NO.53 Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

 
 
 

NO.54 What is an implication of user consent in regard to AI data privacy?

 
 
 

NO.55 To avoid introducing unintended bias to an AI model, which type of data should be omitted?

 
 
 

NO.56 Cloud Kicks wants to evaluate the quality of its sales data.
Which first step should they take for the data quality assessment?

 
 
 

NO.57 In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

 
 
 

NO.58 What is an example of ethical debt?

 
 
 

NO.59 Which action introduces bias in the training data used for AI algorithms?

 
 
 

NO.60 What is a Key consideration regarding data quality in AI implementation?

 
 
 

NO.61 What are the potential consequences of an organization suffering from poor data quality?

 
 
 

NO.62 A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address …
Which feature should they use to accomplish this?

 
 
 

NO.63 Which action should be taken to develop and implement trusted generated AI with Salesforce’s safety guideline in mind?

 
 
 

NO.64 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?

 
 
 

NO.65 What is the best method to safeguard customer data privacy?

 
 
 

NO.66 What is Salesforce’s Trusted AI Principle of Transparency?

 
 
 

NO.67 A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

 
 
 

NO.68 What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

 
 
 

NO.69 What is a societal implication of excluding ethics in AI development?

 
 
 

NO.70 What is an example of Salesforce’s Trusted AI Principle of Inclusivity in practice?

 
 
 

NO.71 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?

 
 
 

NO.72 What should be done to prevent bias from entering an AI system when training it?

 
 
 

NO.73 What is an implication of user consent in regard to AI data privacy?

 
 
 

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