PASS GUARANTEED SALESFORCE - SALESFORCE-AI-ASSOCIATE–PROFESSIONAL NEW EXAM GUIDE

Pass Guaranteed Salesforce - Salesforce-AI-Associate–Professional New Exam Guide

Pass Guaranteed Salesforce - Salesforce-AI-Associate–Professional New Exam Guide

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Tags: New Salesforce-AI-Associate Exam Guide, Study Salesforce-AI-Associate Demo, New Salesforce-AI-Associate Test Topics, Valid Salesforce-AI-Associate Guide Files, Salesforce-AI-Associate Associate Level Exam

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Study Salesforce-AI-Associate Demo & New Salesforce-AI-Associate Test Topics

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

Salesforce Certified AI Associate Exam Sample Questions (Q28-Q33):

NEW QUESTION # 28
What is the significance of explainability of trusted AI systems?

  • A. Increases the complexity of AI models
  • B. Enhances the security and accuracy of AI models
  • C. Describes how Al models make decisions

Answer: C

Explanation:
The significance of the explainability of trusted AI systems is that it describes how AI models make decisions.
Explainability is crucial for building trust and accountability in AI systems, ensuring that users and stakeholders understand the decision-making processes and outcomes generated by AI. This is particularly important in scenarios where AI decisions impact personal or financial status, such as in credit scoring or healthcare diagnostics. Salesforce emphasizes the importance of explainable AI through its ethical AI practices, aiming to make AI systems more transparent and understandable. More details about Salesforce's approach to ethical and explainable AI can be found in Salesforce AI ethics resources at Salesforce AI Ethics.


NEW QUESTION # 29
What are some of the ethical challenges associated with AI development?

  • A. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
  • B. Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions
  • C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Answer: A

Explanation:
Explanation
"Some of the ethical challenges associated with AI development are the potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes. Human bias can arise from the data used to train the models, the design choices made by the developers, or the interpretation of the results by the users. Lack of transparency can make it difficult tounderstand how and why AI systems make certain decisions, which can affect trust, accountability, and fairness."


NEW QUESTION # 30
A Salesforce administrator creates a new field to capture an order's destination country.
Which field type should they use to ensure data quality?

  • A. Number
  • B. Picklist
  • C. Text

Answer: B

Explanation:
Explanation
"A picklist field type should be used to ensure data quality for capturing an order's destination country. A picklist field type allows the user to select one or more predefined values from a list. A picklist field type can ensure data quality by enforcing consistency, accuracy, and completeness of the data values."


NEW QUESTION # 31
Which type of bias imposes a system 's values on others?

  • A. Automation
  • B. Association
  • C. Societal

Answer: C

Explanation:
Explanation
"Societal bias is the type of bias that imposes a system's values on others. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. Societal bias can affect the fairness and ethics of AI systems, as they may affect how different groups or domains are perceived, treated, or represented by AI systems. For example, societal bias can occur when AI systems impose a system's values on others, such as using Western standards of beauty or success to judge or rank people from other cultures."


NEW QUESTION # 32
Which type of bias results from data being labeled according to stereotypes?

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

Answer: B

Explanation:
Explanation
"Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias 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 # 33
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