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Salesforce Certified AI Associate Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
What is an implication of user consent in regard to AI data privacy?

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

Answer: C

Explanation:
Explanation
"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 by others. 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."

NEW QUESTION # 106
What is a potential source of bias in training data for AI models?

A. The data is skewed toward is particular demographic or source.
B. The data is collected in area time from sources systems.
C. The data is collected from a diverse range of sources and demographics.

Answer: A

Explanation:
Explanation
"A potential source of bias in training data for AI models is that the data is skewed toward a particular demographic or source. Skewed data means that the data is not balanced or representative of the target population or domain. Skewed data can introduce or exacerbate bias in AI models, as they may overfit or underfit the model to a specific subset of data. For example, skewed data can lead to bias if the data is collected from a limited or biased demographic or source, such as a certain age group, gender, race, location, or platform."

NEW QUESTION # 107
What is a key challenge of human AI collaboration in decision-making?

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

Answer: B

Explanation:
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 # 108
What is a key challenge of human AI collaboration in decision-making?

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

Answer: B

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 # 109
What can bias in AI algorithms in CRM lead to?

A. Advertising cost increases
B. Personalization and target marketing changes
C. Ethical challengesin CRM systems

Answer: C

Explanation:
"Bias in AI algorithms in CRM can lead to ethical challenges in CRM systems. Bias means that AI algorithms favor or discriminate certain groups or outcomes based on irrelevant or unfair criteria. Bias can affect the fairness andethics of CRM systems, as they may affect how customers are perceived, treated, or represented by AI algorithms. For example, bias can lead to ethical challenges in CRM systems if AI algorithms make inaccurate or harmful predictions or recommendations based on customers' identity or characteristics."

NEW QUESTION # 110
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Salesforce Certified AI Associate Exam Sample Questions (Q105-Q110):

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