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최신버전Salesforce-AI-Associate최신시험덤프공부자료시험공부

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Salesforce Salesforce-AI-Associate 시험요강:

주제
소개

주제 1

AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

주제 2

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.

주제 3

Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

주제 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-AI-Associate최신 시험덤프공부자료 <<

시험대비 Salesforce-AI-Associate최신 시험덤프공부자료 덤프 샘플문제 다운

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최신 AI Associate Salesforce-AI-Associate 무료샘플문제 (Q33-Q38):

질문 # 33
What is a possible outcome of poor data quality?

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

정답：C

설명：
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 Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task.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."

질문 # 34
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. Leads to move informed and balanced decision-making
C. Reduce the need for human involvement in decision-making processes

정답：A

설명：
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."

질문 # 35
What are the three commonly used examples of AI in CRM?

A. Einstein Bots, face recognition, recommendations
B. Predictive scoring, reporting, Image classification
C. Predictive scoring, forecasting, recommendations

정답：C

설명：
"Predictive scoring, forecasting, and recommendations are three commonly used examples of AI in CRM.
Predictive scoring can help prioritize leads, opportunities, and customers based on their likelihood to convert, churn, or buy. Forecasting can help predict future sales, revenue, or demand based on historical data and trends. Recommendations can help suggest the best products, services, or actions for each customer based on their preferences, behavior, and needs."

질문 # 36
What is an implication of user consent in regard to AI data privacy?

A. AI infringes on privacy when user consent is not obtained.
B. AI ensures complete data privacy by automatically obtaining user consent.
C. AI operates Independently of user privacy and consent.

정답：A

설명：
"AI infringes on privacy when user consent is not obtained. User consent is the permission or agreement given by a user to allow their personal data to be collected, used, shared, or stored byothers. User consent is an important aspect of data privacy, which is the right of individuals to control how their personal data is handled by others. AI infringes on privacy when user consent is not obtained because it violates the user's rights and preferences regarding their personal data."

질문 # 37
What is a key characteristic of machine learning in the context of AI capabilities?

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

정답：B

설명：
"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."

질문 # 38
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