VALID LATEST SALESFORCE-AI-ASSOCIATE TEST REPORT - HOW TO DOWNLOAD FOR SALESFORCE SALESFORCE-AI-ASSOCIATE RELIABLE TEST FORUM

Valid Latest Salesforce-AI-Associate Test Report - How to Download for Salesforce Salesforce-AI-Associate Reliable Test Forum

Valid Latest Salesforce-AI-Associate Test Report - How to Download for Salesforce Salesforce-AI-Associate Reliable Test Forum

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

Salesforce Certified AI Associate Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.
Whichdata quality dimension Is essential for this custom application?

  • A. Consistency
  • B. Duplication
  • C. Age

Answer: A

Explanation:
"Consistency is the data quality dimension that is essential for creating a custom service analytics application to analyze cases in Salesforce. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Consistent data can ensure that the custom application can accurately and efficiently analyze cases and provide meaningful insights."


NEW QUESTION # 68
What is the role of Salesforce Trust AI principles in the context of CRM system?

  • A. Providing a framework for AI data model accuracy
  • B. Outlining the technical specifications for AI integration
  • C. Guiding ethical and responsible use of AI

Answer: C

Explanation:
Explanation
"The role of Salesforce Trust AI principles in the context of CRM systems is guiding ethical and responsible use of AI. Salesforce Trust AI principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability & Safety, Inclusivity & Diversity, Empowerment & Education. The principles aim to ensure that AI systems are aligned with the values and interests of customers, partners, and society."


NEW QUESTION # 69
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?

  • A. Build a Data Management Strategy.
  • B. Build reports to expire the data quality.
  • C. Leverage data quality apps from AppExchange

Answer: C

Explanation:
Explanation
"Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions that can help measure, monitor, or improve data quality in Salesforce."


NEW QUESTION # 70
Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

  • A. Einstein Lead Scoring and Case Classification
  • B. Dashboard of Current Leads and Cases
  • C. Sales path and Automaton Case Escalations

Answer: A

Explanation:
"Einstein Lead Scoring and Case Classification are the capabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI to optimize sales and service processes by providing insights and recommendations based on data.
Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."


NEW QUESTION # 71
Which type of bias results from data being labeled according to stereotypes?

  • A. Interaction
  • B. Association
  • C. Societal

Answer: C

Explanation:
"Societal bias results from data being labeled according to stereotypes. Societal bias is a type ofbias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes."


NEW QUESTION # 72
......

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