An Agentforce turned on Einstein Generative AI in Setup. Now, theAgentforce Specialistwould like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu. What is causing the problem?
A. The Prompt Template User permission set was not assigned correctly.
B. The Prompt Template Manager permission set was not assigned correctly.
C. The large language model (LLM) was not configured correctly in Data Cloud.
TheAgentforce Specialistof Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer. Which steps should theAgentforce Specialisttake upon modifying the masked fields?
A. Turn off the Einstein Trust Layer and turn it on again.
B. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response
C. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.
An Agentforce needs to enable the use of Sales Email prompt templates for the sales team. TheAgentforce Specialisthas already created the templates in Prompt Builder. According to best practices, which steps should theAgentforce Specialisttake to ensure the sales team can use these templates?
A. Assign the Prompt Template User permission set and enable Sales Emails in Setup.
B. Assign the Prompt Template Manager permission set and enable Sales Emails in setup.
C. Assign the Data Cloud Admin permission set and enable Sales Emails in Setup.
What is the main purpose of Prompt Builder?
A. A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently.
B. A tool that enables companies to create reusable prompts for large language models (LLMs), bringing generative AI responses to their flow of work
C. A tool within Salesforce offering real-time Al-powered suggestions and guidance to users, Improving productivity and decision-making.
What is An Agentforce able to do when the “Enrich event logs with conversation data" setting in Einstein Copilot is enabled?
A. View the user click path that led to each copilot action.
B. View session data including user Input and copilot responses for sessions over the past 7 days.
C. Generate details reports on all Copilot conversations over any time period.
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?
A. Einstein Email Replies
B. Einstein Service Replies for Email
C. Einstein Generative Service Replies for Email
Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent. Which channel consideration should UC be aware of while implementing it?
A. SDR Agent must be deployed in the Messaging channel.
B. SDR Agent only works in the Email channel.
C. SDR Agent must also be deployed on the company website.
Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?
A. Prompt Defense
B. Data Masking
C. Dynamic Grounding
Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the "Save As" function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters. What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?
A. Use Model Playground to create a model configuration with the specified parameters.
B. Manually add the hyperparameters to the new template.
C. Revert to using the standard template without modifications.
What is a valid use case for Data Cloud retrievers?
A. Returning relevant data from the vector database to augment a prompt.
B. Grounding data from external websites to augment a prompt with RAG.
C. Modifying and updating data within the source systems connected to Data Cloud.