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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	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
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	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 (Q105-Q110):

NEW QUESTION # 105
What should organizations do to ensure data quality for their AI initiatives?

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

Answer: A

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 # 106
A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?

A. Communicate how risk factors such as credit score can impact customer eligibility.
B. Flagsensitive variables and their proxies to prevent discriminatory lending practices.
C. Incorporate customer feedback into the model's continuous training.

Answer: B

Explanation:
"Flagging sensitive variables and their proxies to prevent discriminatory lending practicesis how they should implement Salesforce's Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with. Flagging sensitive variables and their proxies means identifying and marking variablesthat can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems."

NEW QUESTION # 107
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

A. Chances of bias are aggravated
B. Chances of bias are remove
C. Chances of bIas and mitigated

Answer: C

Explanation:
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the dataused or generated by the generative AI model."

NEW QUESTION # 108
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

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

Answer: A

Explanation:
Explanation
"Testing with diverse and 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 # 109
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
B. An explanation of the prediction's rationale and a model card that describes how the model was created
C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles

Answer: B

NEW QUESTION # 110
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Certificate Salesforce Salesforce-AI-Associate Exam & Composite Test Salesforce-AI-Associate Price

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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