Updated Salesforce AI Associate Dumps (V9.02) – Practice Salesforce AI Associate Exam Questions to Make Preparations

1. What is a benefit of a diverse, balanced, and large dataset?

2. What are the three commonly used examples of AI in CRM?

3. Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.

What should the company do first to prepare its data for use with AI?

4. A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.

Which primary role does data Quality play In this AI application?

5. What are some of the ethical challenges associated with AI development?

6. Cloud Kicks discovered multiple variations of state and country values in contact records.

Which data quality dimension is affected by this issue?

7. How is natural language processing (NLP) used in the context of AI capabilities?

8. What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

9. Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.

Which data quality dimension Is essential for this custom application?

10. What should organizations do to ensure data quality for their AI initiatives?

11. Which Einstein capability uses emails to create content for Knowledge articles?

12. Which type of bias results from data being labeled according to stereotypes?

13. Salesforce defines bias as using a person's Immutable traits to classify them or market to them.

Which potentially sensitive attribute is an example of an immutable trait?

14. Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.

How will this incomplete data quality impact the company's operations?

15. What are some key benefits of AI in improving customer experiences in CRM?

16. How does an organization benefit from using AI to personalize the shopping experience of online customers?

17. Cloud Kicks is testing a new AI model.

Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

18. Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.

Which data quality dimension is affected in this scenario?

19. Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges.

What should they consider doing to minimize potential AI bias?

20. Which features of Einstein enhance sales efficiency and effectiveness?

21. Cloud Kicks implements a new product recommendation feature for its shoppers that recommends

shoes of a given color to display to customers based on the color of the products from their purchase history.

Which type of bias is most likely to be encountered in this scenario?

22. What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

23. What is a sensitive variable that car esc to bias?

24. A marketing manager wants to use AI to better engage their customers.

Which functionality provides the best solution?

25. A Salesforce administrator creates a new field to capture an order's destination country.

Which field type should they use to ensure data quality?

26. 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?

27. How does the "right of least privilege" reduce the risk of handling sensitive personal data?

28. What is the best method to safeguard customer data privacy?

29. What is the key difference between generative and predictive AI?

30. What is a key benefit of effective interaction between humans and AI systems?