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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic
Details

Topic 1

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

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 the Trusted AI Principles of Salesforce to given scenarios.

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

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

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Salesforce Certified AI Associate Exam Sample Questions (Q54-Q59):

NEW QUESTION # 54
What is the most likely impact that high-quality data will have on customer relationships?

A. Higher customer acquisition costs
B. Increased brand loyalty
C. Improved customer trust and satisfaction

Answer: C

Explanation:
Explanation
"The most likely impact that high-quality data will have on customer relationships is improved customer trust and satisfaction. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve customer relationships by enabling AI systems to provide personalized and relevant products, services, or solutions that meet the customers' expectations, needs, and interests. High-quality data can also improve customer trust and satisfaction by reducing errors, delays, or waste in customer interactions."

NEW QUESTION # 55
What is an example of ethical debt?

A. Delaying an AI product launch to retrain an AI data model
B. Launching an AI feature after discovering a harmful bias
C. Violating a data privacy law and falling to pay fines

Answer: B

Explanation:
"Launching an AI feature after discovering a harmful bias is an example of ethical debt. Ethical debt is a term that describes the potential harm or risk caused by unethical or irresponsible decisions or actions related to AIsystems. Ethical debt can accumulate over time and have negative consequences for users, customers, partners, or society. For example, launching an AI feature after discovering a harmful bias can create ethical debt by exposing users to unfair or inaccurate results that may affect their trust, satisfaction, or well-being."

NEW QUESTION # 56
What is a key characteristic of machine learning in the context of AI capabilities?

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

Answer: A

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 # 57
What is an implication of user consent in regard to AI data privacy?

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

Answer: B

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 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."

NEW QUESTION # 58
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

A. Size of the dataset
B. Age of the dataset
C. Number of variables ipn the dataset

Answer: A

Explanation:
Explanation
"The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect the feasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data."

NEW QUESTION # 59
......

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Doug Park Doug Park

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