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1. Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy.

Which prompt template type should the AI Specialist recommend?

2. Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.

Which audit data is available using the Einstein Trust Layer?

3. Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template.

What should the AI Specialist recommend?

4. What is an AI Specialist able to do when the “Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

5. Universal Containers’ current AI data masking rules do not align with organizational privacy and security policies and requirements.

What should an AI Specialist recommend to resolve the issue?

6. An administrator wants to check the response of the Flex prompt template they've built, but the preview button is greyed out.

What is the reason for this?

7. Universal Containers’ data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS).

What should the team use to access externally-hosted models in the Salesforce Platform?

8. An AI Specialist built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors.

What is the cause of the random nature of this error?

9. An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.

Which feature in the Einstein Trust Layer best supports UC's need?

10. A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.

How does Einstein Copilot handle user requests In Salesforce?

11. Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-generated plans containing guidance and steps for closing deals.

Which feature should the AI Specialist recommend to the sales team?

12. How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?

13. Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.

How should UC meet this requirement?

14. What is the role of the large language model (LLM) in executing an Einstein Copilot Action?

15. A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.

Which Einstein Copilot capability helps the agent accomplish this?

16. An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.

What should the AI Specialist do to identify the root cause of the problem?

17. A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries.

Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy.

Which feature in Einstein for Service should the support team use?

18. Universal Containers implemented Einstein Copilot for its users.

One user complains that Einstein Copilot is not deleting activities from the past 7 days.

What is the reason for this issue?

19. Where should the AI Specialist go to add/update actions assigned to a copilot?

20. Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.

Which combination of Einstein for Service features enables this effort?

21. Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.

What is a key reason for implementing Einstein Copilot?

22. Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page.

After provisioning Data Cloud, which step must an Al Specialist take to make this option available to NTO?

23. Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number.

Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details.

Which solution should an AI Specialist implement to meet this requirement?

24. Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same

profile but one user cannot see the generative AlI-enabled field icon next to the summary field.

What is the most likely cause of the issue?

25. Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and

interactions. UC needs audit and feedback

data to be accessible for reporting purposes.

What is a consideration for this requirement?

26. In Model Playground, which hyperparameters of an existing Salesforce-enabled foundational model can an AI Specialist change?

27. How should an organization use the Einstein Trust layer to audit, track, and view masked data?

28. An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation.

Which grounding technique should the AI Specialist use?

29. Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive intelligence.

Which feature provides insights about competitor mentions and coaching opportunities?

30. An AI Specialist at Universal Containers (UC) Is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is

captured and monitored for adoption and possible enhancements.

Which prompt template type should the AI Specialist use and which consideration should they review?

31. Universal Containers plans to implement prompt templates that utilize the standard foundation models.

What should the AI Specialist consider when building prompt templates in Prompt Builder?

32. Universal Containers (UC) has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses.

Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?

33. Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding.

Which objects should UC select to configure Service AI Grounding?

34. What is the main purpose of Prompt Builder?

35. Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base.

Which AI capability should UC use?

36. Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates.

Which type of flow should UC use?

37. Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level.

What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

38. Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.

Which steps should an AI Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

39. The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.

Why should the team use Einstein Copilot as the solution?

40. Universal Containers wants to use an external large language model (LLM) in Prompt Builder.

What should an AI Specialist recommend?