Salesforce-AI-Associate Certification Training is Useful for You to Pass Salesforce Certified AI Associate Exam Exam

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 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.
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.

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Salesforce Certified AI Associate Exam Sample Questions (Q29-Q34):

NEW QUESTION # 29
Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions Which field of AI is most suitable for this scenario?

A. Natural language processing
B. Computer vision
C. Predictive analytics

Answer: A

Explanation:
Explanation
"Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context."

NEW QUESTION # 30
What are some of the ethical challenges associated with AI development?

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

Answer: B

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 # 31
What is a key characteristic of machine learning in the context of AI capabilities?

A. Relies on preprogrammed rules to make decisions
B. Can perfectly mimic human intelligence and decision-making
C. Uses algorithms to learn from data and make decisions

Answer: C

Explanation:
Explanation
"Machine learning is a key characteristic of AI capabilities that uses algorithms to learn from data and make decisions. Machine learning is a branch of AI that enables computers to learn from data without being explicitly programmed. Machine learning algorithms can analyze data, identify patterns, and make predictions or recommendations based on the data."

NEW QUESTION # 32
What is a key benefit of effective interaction between humans and AI systems?

A. Reduces the need for human involvement
B. Leads to more informed and balanced decision making
C. Alerts humans to the presence of biased data

Answer: B

Explanation:
Explanation
"A key benefit of effective interaction between humans and AI systems is that it leads to more informed and balanced decision making. Effective interaction means that humans and AI systems can communicate and collaborate with each other in a clear, natural, and respectful way. Effective interaction can help leverage the strengths and complement the weaknesses of both humans and AI systems. Effective interaction can also help increase trust, confidence, and satisfaction in using AI systems."

NEW QUESTION # 33
How does the "right of least privilege" reduce the risk of handling sensitive personal data?

A. By limiting how many people have access to data
B. By applying data retention policies
C. By reducing how many attributes are collected

Answer: A

Explanation:
"The "right of least privilege" reduces the risk of handling sensitive personal data by limiting how many people have access to data. The "right of least privilege" is a security principle that states that each user or system should have the minimum level of access or privilege necessary to perform their tasks or functions.
The "right of least privilege" can help protect sensitive personal data from unauthorized access, misuse, or leakage."

NEW QUESTION # 34
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Salesforce-AI-Associate Certification Training is Useful for You to Pass Salesforce Certified AI Associate Exam Exam

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Salesforce Certified AI Associate Exam Sample Questions (Q29-Q34):

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Salesforce-AI-Associate Certification Training is Useful for You to Pass Salesforce Certified AI Associate Exam Exam

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

100% Pass 2025 Updated Salesforce Cert Salesforce-AI-Associate Guide

Salesforce Certified AI Associate Exam Sample Questions (Q29-Q34):

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