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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	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 3	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 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.

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Salesforce Certified AI Associate Exam Sample Questions (Q90-Q95):

NEW QUESTION # 90
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

A. Test only with data from a specific region or demographic to limit the risk of data leaks.
B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.
C. Test with diverse and representative datasets appropriate for how the model will be used.

Answer: C

Explanation:
"Testing with diverseand representative datasets appropriate for how the model will be used aligns with Salesforce's Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences.Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."

NEW QUESTION # 91
Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a...
How can data quality be assessed quality?

A. Leverage data quality apps from AppExchange
B. Build reports to expire the data quality.
C. Build a Data Management Strategy.

Answer: A

Explanation:
"Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learnfrom and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions thatcan help measure, monitor, or improve data quality in Salesforce."

NEW QUESTION # 92
A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?

A. Data modeling and management
B. Sales dashboards and reporting
C. Lead soring and opportunity forecasting

Answer: C

Explanation:
Explanation
"Lead scoring and opportunity forecasting are applications of AI that would be most beneficial for a sales manager who wants to improve their processes using AI in Salesforce. Lead scoring can help prioritize leads based on their likelihood to convert, while opportunity forecasting can help predict future sales or revenue based on historical data and trends. These applications of AI can help optimize sales processes by providing insights and recommendations that can increase sales efficiency and effectiveness."

NEW QUESTION # 93
What is a Key consideration regarding data quality in AI implementation?

A. Techniques from customizing AI features in Salesforce
B. Integration process of AI models with Salesforce workflows
C. Data's role in training and fine-tuning Salesforce AI models

Answer: C

Explanation:
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."

NEW QUESTION # 94
What should organizations do to ensure data quality for their AI initiatives?

A. Rely on AI algorithms to automatically handle data quality issues.
B. Prioritize model fine-tuning over data quality improvements.
C. Collect and curate high-quality data from reliable sources.

Answer: C

Explanation:
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative.
Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."

NEW QUESTION # 95
......

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Pass Guaranteed 2025 Salesforce Salesforce-AI-Associate: Salesforce Certified AI Associate Exam Latest Unlimited Exam Practice

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Free PDF Quiz Salesforce-AI-Associate - Updated Unlimited Salesforce Certified AI Associate Exam Exam Practice

Salesforce Certified AI Associate Exam Sample Questions (Q90-Q95):

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