A. Route Work Action

Answer Description
Explanation:

Comprehensive and Detailed In-Depth Explanation:UC is integrating an Agentforce agent with Omni- Channel Flow to route work. Let’s identify the correct element.

Option A: Route Work ActionThe "Route Work" action in Omni-Channel Flow assigns work items (e.g., cases, chats) to agents or queues based on routing rules. When connecting to an Agentforce agent, this action links the flow to the agent’s queue or presence, enabling interaction. This is the standard element for agent integration, making it the correct answer.

Option B: AssignmentThere’s no "Assignment" element in Flow Builder for Omni-Channel. Assignment rules exist separately, but within flows, routing is handled by "Route Work," making this incorrect.

Option C: DecisionThe "Decision" element branches logic, not connects to agents. It’s a control structure, not arouting mechanism, making it incorrect.

Why Option A is Correct:"Route Work" is the designated Omni-Channel Flow action for connecting to agents, including Agentforce agents, per Salesforce documentation.

References: Salesforce Agentforce Documentation: Omni-Channel Integration– Specifies "Route Work" for agents.
Trailhead: Omni-Channel Flow Basics– Details routing actions.
Salesforce Help: Set Up Omni-Channel Flows– Confirms "Route Work" usage.

A. Eternal Object Record Merge Fields

A. Temperature, Frequency Penalty, Presence Penalty

Answer Description
Explanation

InModel Playground, An Agentforce working with a Salesforce-enabled foundational model has control over specific hyperparameters that can directly affect the behavior of the generative model:

Temperature: Controls the randomness of predictions. A higher temperature leads to more diverse outputs, while a lower temperature makes the model's responses more focused and deterministic.

Frequency Penalty: Reduces the likelihood of the model repeating the same phrases or outputs frequently.

Presence Penalty: Encourages the model to introduce new topics in its responses, rather than sticking with familiar, previously mentioned content.
These hyperparameters are adjustable to fine-tune the model’s responses, ensuring that it meets the desired behavior and use case requirements. Salesforce documentation confirms that these three are the key tunable hyperparameters in the Model Playground.

For more details, refer toSalesforce AI Model Playgroundguidance from Salesforce’s official documentation on foundational model adjustments.

D. The client has passed 802 1X authentication and the authentication server did not send an Aruba-User-Role VSA

Answer DescriptionExplanation: In the context of an Aruba Mobility Controller (MC) configuration, a client will receive the default role assignment if they have passed 802.1X authentication and the authentication server did not send an Aruba-User-Role Vendor Specific Attribute (VSA). The default role is assigned by the MC when a client successfully authenticates but the authentication server provides no specific role instruction. This behavior ensures that a client is not left without any role assignment, which could potentially lead to a lack of network access or access control. This default role assignment mechanism is part of Aruba's role-based access control, as documented in the ArubaOS user guide and best practices.

C. Create a Flex template to add resources with standard and custom objects as inputs.

Answer Description
Explanation:

Comprehensive and Detailed In-Depth Explanation: UC needs to incorporate data from multiple unrelated objects (standard and custom) into a prompt template for a sales proposal. Let’s evaluate the options based on Agentforce capabilities.

Option A: Create a prompt template passing in a special custom object that connects the records temporarily.While a custom object could theoretically act as a junction to link unrelated records, this approach requires additional setup (e.g., creating the object, populating it with data via automation), and there’s no direct mechanism in Prompt Builder to "pass in" such an object to a prompt template without grounding or flow support. This is inefficient and not a native feature, making it incorrect.

Option B: Create a prompt template-triggered flow to access the data from standardand custom objects.There’s no such thing as a "prompt template-triggered flow" in Salesforce. Flows can invoke prompt templates (e.g., via the "Prompt Template" action), but the reverse—triggering a flow from a prompt template—is not a standard construct. While a flow could gather data from unrelated objects and pass it to a prompt, this option’s terminology is inaccurate, and it’s not the most direct solution, making it incorrect.

Option C: Create a Flex template to add resources with standard and custom objects as inputs. In Agentforce’s Prompt Builder, aFlex template(short for Flexible Prompt Template) allows users to define dynamic inputs, including data from multiple Salesforce objects (standard or custom), even if they’re unrelated. Resources can be added to the template (e.g., via merge fields or Data Cloud queries), enabling the prompt to pull data directly from specified objects without requiring a junction object or complex flows. This is ideal for generating a sales proposal using disparate data sources and aligns with Salesforce’s documentation on Flex templates, making it the correct answer.

Why Option C is Correct: Flex templates are designed for scenarios requiring flexible data inputs, allowing UC to directly reference multiple unrelated objects in the prompt template. This simplifies the process and leverages Prompt Builder’s native capabilities, as outlined in Salesforce documentation.

C. Agentforce does not have a standard Delete Record action.

B. Einstein Prompt Builder and Prompt Templates.

Answer DescriptionExplanation:

Comprehensive and Detailed In-Depth Explanation: UC wants to streamline the use of Generative AI by reducing the time reps spend typing prompts and ensuring consistency, leveraging their existing prompt knowledge. Let’s evaluate the options.

Option A: Agent Builder and Action: Query Records. Agent Builder in Agentforce Studio creates autonomous AI agents with actions like "Query Records" to fetch data. While this could retrieve information, it’s designed for agent-driven workflows, not for simplifying manual prompt entry or ensuring consistency across user inputs. This doesn’t directly address UC’s concerns and is incorrect.

Option B: Einstein Prompt Builder and Prompt Templates. Einstein Prompt Builder, part of Agentforce Studio, allows users to create reusable prompt templates that encapsulate specific instructions and grounding for Generative AI (e.g., using public models via the Atlas Reasoning Engine). UC can predefine prompts based on their known language, saving time for reps by eliminating repetitive typing and ensuring consistency across sales and service teams. Templates can be embedded in flows, Lightning pages, or agent interactions, perfectly addressing UC’s needs. This is the correct answer.

Option C: Einstein Recommendation Builder. Einstein Recommendation Builder generates personalized recommendations (e.g., products, next best actions) using predictive AI, not Generative AI for freeform prompts. It doesn’t support custom prompt creation or address time/consistency issues for reps, making it incorrect.

Why Option B is Correct: Einstein Prompt Builder’s prompt templates directly tackle UC’s challenges by standardizing prompts and reducing manual effort, leveraging their familiarity with Generative AI language. This is a core feature for such use cases, as per Salesforce documentation

A. Call Summary

Answer Description
Explanation

For a sales rep who may miss key details during long sales calls, theAgentforce Specialistshould recommend theCall Summaryfeature.Call SummaryusesEinstein Generative AIto automatically generate a concise summary of important points discussed during the call, helping the rep quickly review the key information they might have missed.
Call Exploreris designed for manually searching through call data but doesn't summarize. Sales Summaryis focused more on summarizing overall sales activity, not call-specific content.
For more details, refer toSalesforce's Call Summary documentationon how AI-generated summaries can improve sales rep productivity.