Question # 1 Universal Containers plans to enhance the customer support team's productivity using AI.
Which specific use case necessitates the use of Prompt Builder?
A. Creating a draft of a support bulletin post for new product patchesB. Creating an Al-generated customer support agent performance scoreC. Estimating support ticket volume based on historical data and seasonal trends
Click for Answer
A. Creating a draft of a support bulletin post for new product patches
Answer Description Explanation
The use case that necessitates the use of Prompt Builder is creating a draft of a support bulletin post for new product patches. Prompt Builder allows the Agentforce Specialist to create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details.
Option B (agent performance score) would likely involve predictive modeling, not prompt generation.
Option C (estimating support ticket volume) would require data analysis and predictive tools, not prompt building.
For more details, refer to Salesforce’s Prompt Builder documentation for generative AI content creation.
Question # 2 Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM).
What is an important consideration for this requirement?
A. "CRM data to JSON" checkbox must be selected when creating a prompt template.B. Apex code can be used to return a JSON formatted merge field.C. JSON format should be enabled in Prompt Builder Settings.
Click for Answer
B. Apex code can be used to return a JSON formatted merge field.
Question # 3 What is the role of the large language model (LLM) in executing an Einstein Copilot Action? A. Find similar requests and provide actions that need to be executedB. Identify the best matching actions and correct order of executionC. Determine a user's access and sort actions by priority to be executed
Click for Answer
B. Identify the best matching actions and correct order of execution
Question # 4 Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature.
Which API service should UC use to meet this requirement?
A. REST APIB. Metadata APIC. SOAP API
Click for Answer
A. REST API
Answer Description Explanation
To create a digest of account action plans using the generative API feature, Universal Containers should use the REST API. The REST API is ideal for integrating Salesforce with external systems and enabling interaction with Salesforce data, including generative capabilities like creating summaries or digests. It supports modern web standards and is suitable for flexible, lightweight interactions between Salesforce and legacy systems. Metadata API is used for retrieving and deploying metadata, not for data operations like generating summaries.
SOAP API is an older API used for integration but is less flexible compared to REST for this specific use case.
For more details, refer to Salesforce REST API documentation regarding using REST for data integration and generating content.
Question # 5 Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization.
What should the Agentforce Specialist recommend? A. Agent AnalyticsB. Agentforce AnalyticsC. Agent Studio Analytics
Click for Answer
Answer Description Explanation:
Agent Analytics: This tool is specifically designed to provide usability insights for Salesforce agents. It tracks metrics like adoption rates, task completion times, and efficiency levels, helping organizations
identify areas where agents excel or need additional support.
Agentforce Analytics: This term does not correspond to a recognized Salesforce feature.
Agent Studio Analytics: This is unrelated to analyzing agent usability, as it primarily supports
customization or development features rather than providing analytics for adoption.
Thus, Agent Analytics is the correct recommendation as it offers actionable insights to drive agent adoption
and productivity.
Question # 6 Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
No data is used for LLM training or product improvements by third- party LLMs. No data is retained outside of UC's Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?
A. Prompt DefenseB. Zero-Data Retention PolicyC. Data Masking
Click for Answer
B. Zero-Data Retention Policy
Answer Description Explanation
Universal Containers (UC)has concerns about data privacy when using Salesforce's generative AI features, particularly around preventing third-party LLMs from accessing or retaining their data. The Zero-Data Retention Policy in the Einstein Trust Layer is designed to address these concerns by ensuring that:
No data is used for training or product improvements by third-party LLMs.
No data is retained outside of the customer's Salesforce organization.
The LLM provider cannot access any customer data.
This policy aligns perfectly with UC’s requirements for keeping their data safe while leveraging generative AI capabilities.
Prompt Defense and Data Masking are also security features, but they do not directly address the concerns related to third-party data access and retention.
Question # 7 An Agentforce needs to create a Sales Email with a custom prompt template. They need to ground on the following data. Opportunity Products Events near the customer Tone and voice examples How should the Agentforce Specialist obtain related items?
A. Call prompt initiated flow to fetch and ground the required data.B. Create a flex template that takes the records in question as inputs.C. Utilize a standard email template and manually insert the required data fields.
Click for Answer
A. Call prompt initiated flow to fetch and ground the required data.
Answer Description Explanation
To ground a sales email on Opportunity Products, Events near the customer, and Tone and voice examples, the Agentforce Specialist should use a prompt-initiated flow. This flow can dynamically fetch the necessary data from related records in Salesforce and ground the generative AI output with contextually accurate information.
Option B (flex template)does not provide the ability to fetch dynamic data from Salesforce records automatically.
Option C (manual insertion)would not allow for the dynamic and automated grounding of data required for custom prompts.
Refer to Salesforce documentation on flows and grounding for more details on integrating data into custom prompt templates.
Question # 8 An Agentforce is creating a custom action in Einstein Copilot.
Which option is available for the Agentforce Specialist to choose for the custom copilot action?
A. Apex triggerB. SOQLC. Flows
Click for Answer
C. Flows
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