100% Pass-Rate Salesforce-AI-Associate Exams Collection, Ensure to pass the Salesforce-AI-Associate Exam

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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	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 3	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 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 Salesforce-AI-Associate Training Questions & Salesforce-AI-Associate Valid Test Sample

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Salesforce Certified AI Associate Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

A. Develop right-sized models to reduce our carbon footprint.
B. Be transparent when AI has created and automatically delivered content.
C. Create guardrails that mitigates toxicity and protect PII

Answer: C

Explanation:
Explanation
"Creating guardrails that mitigate toxicity and protect PII is an action that should be taken to develop and implement trusted generative AI with Salesforce's safety guideline in mind. Salesforce's safety guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the safety and well-being of humans and the environment. Creating guardrails means implementing measures or mechanisms that can prevent or limit the potential harm or risk caused by AI systems. For example, creating guardrails can help mitigate toxicity by filtering out inappropriate or offensive content generated by AI systems. Creating guardrails can also help protect PII by masking or anonymizing personal or sensitive information generated by AI systems."

NEW QUESTION # 37
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
C. An explanation of the prediction's rationale and a model card that describes how the model was created

Answer: C

Explanation:
Explanation
"An explanation of the prediction's rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce's Trusted AI Principle of Transparency.
Transparency means that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with."

NEW QUESTION # 38
In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?

A. Outlining the technical specifications for Al integration
B. Ensuring ethical use of Al
C. Providing a framework for data model accuracy

Answer: B

Explanation:
The principle of Responsibility in Salesforce's Trusted AI Principles primarily focuses on ensuring that AI is used ethically. This includes making sure that AI technologies are developed and implemented in ways that are transparent, fair, and accountable, with a strong emphasis on the impact on individuals and society. The principle encourages organizations to take responsibility for the outcomes of their AI systems and to avoid unintended consequences that could harm users or society.

NEW QUESTION # 39
What is a possible outcome of poor data quality?

A. Biases in data can be inadvertently learned and amplified by AI systems.
B. AI predictions become more focused and less robust.
C. AI models maintain accuracy but have slower response times.

Answer: A

Explanation:
"A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems."

NEW QUESTION # 40
What is a key challenge of human AI collaboration in decision-making?

A. Creates a reliance on AI, potentially leading to less critical thinking and oversight
B. Reduce the need for human involvement in decision-making processes
C. Leads to move informed and balanced decision-making

Answer: A

Explanation:
"A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight. Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task. Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems. However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight. For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale."

NEW QUESTION # 41
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100% Pass-Rate Salesforce-AI-Associate Exams Collection, Ensure to pass the Salesforce-AI-Associate Exam

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Salesforce Salesforce-AI-Associate Training Questions & Salesforce-AI-Associate Valid Test Sample

Salesforce Certified AI Associate Exam Sample Questions (Q36-Q41):

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