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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	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	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 4	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

Salesforce Certified AI Associate Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

A. Einstein Engagement
B. Bring Your Own Model
C. Journey Optimization

Answer: A

Explanation:
"EinsteinEngagement provides the best solution for a marketing manager who wants to use AI to better engage their customers. Einstein Engagement is a feature that uses AI to optimize email marketing campaigns by providing insights and recommendations on the best time, frequency, content, and subject lines to send emails to each customer. Einstein Engagement can help increase customer engagement, retention, and loyalty by delivering personalized and relevant messages."

NEW QUESTION # 58
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 # 59
What does the term "data completeness" refer to in the context of data quality?

A. The ability to access data from multiple sources in real time
B. The degree to which all required data points are present in the dataset
C. The process of aggregating multiple datasets from various databases

Answer: B

Explanation:
Data completeness is a measure of data quality that assesses whether all required data points are present in a dataset. It checks for missing values or gaps in data necessary for accurate analysis and decision-making. In the context of Salesforce, ensuring data completeness is crucial for the effectiveness of CRM operations, reporting, and AI-driven applications like Salesforce Einstein, which rely on complete data to function optimally. Salesforce provides various tools and features, such as data validation rules and batch data import processes, that help maintain data completeness across its platform. Detailed guidance on managing data quality in Salesforce can be found in the Salesforce Help documentation on data management at Salesforce Help Data Management.

NEW QUESTION # 60
What should be done to prevent bias from entering an AI system when training it?

A. Use alternative assumptions.
B. Include Proxy variables.
C. Import diverse training data.

Answer: C

Explanation:
"Using diverse training data is what should be done to prevent bias from entering an AI system when training it. Diverse training data means that the data covers a wide range of features and patterns that are relevant for the AI task. Diversetraining data can help prevent bias by ensuring that the AI system learns from a balanced and representative sample of the target population or domain. Diverse training data can also help improve the accuracy and generalization of the AI system by capturing more variations and scenarios in the data."

NEW QUESTION # 61
What is the best method to safeguard customer data privacy?

A. Track customer data consent preferences.
B. Automatically anonymize all customer data.
C. Archive customer data on a recurring schedule.

Answer: A

Explanation:
"Tracking customer data consent preferences is the best method to safeguard customer data privacy. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Tracking customer data consent preferences means respecting and honoring the choices and preferencesof customers regarding their personal data. Tracking customer data consent preferences can help ensure compliance with data privacy laws and regulations, as well as build trust and loyalty with customers."

NEW QUESTION # 62
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