SLF 2 - 2
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Título del Test:
![]() SLF 2 - 2 Descripción: SLF 2 - 2 |



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After creating a foundation model in Einstein Studio, which hyperparameter should an AI Specialist use to adjust the balance between consistency and randomness a response?. Variability. Presence Penalty. Temperature. Sunrays Limited (SL) is using standard Service AI Grounding. SL created a custom rich text field to be used with Service AI Grounding. What should SL consider when using standard Service SI Grounding?. Service AI Grounding only works with Case and Knowledge objects. Service AI Grounding visibility works in system mode. Service AI Grounding only supports String and Text Area type fields. Sunrays Limited (SL) has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system. For the given flow, what should the AI Specialist consider about the running user's data access?. The flow must have the "with sharing" permission selected in the advanced settings for the permissions, field-level security, and sharing settings to be respected. The Agent will always run flows in system mode so the running user's data access will not affect the data returned. The custom action adheres to the permissions, field-level security, and sharing settings configured in the flow. A sales manager is using Agent Assistant to streamline their daily agent to "Show me a list of my open opportunities." How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?. Using a dialog pattern, the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a list of open opportunities. The LLM interprets the user's request, generates a plan by identifying the appropriate topics and actions, and executes the actions to retrieve and display the open opportunities. The LLM uses a static set of rules to match the user's request with predefined topics and actions, bypassing the need for dynamic interpretation and planning. An AI Specialist is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform. What is the correct method for the AI Specialist to assign actions to an Agent?. Assign the action to a Topic first in Agent Builder. Assign the action to a Topic first on Action Builder. Assign the action to a Topic first on the Agent Actions detail page. Sunrays Limited (SL) sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should an AI specialist recommend fo this request?. Einstein Conversation Insights. Einstein Call Summaries. Einstein Video KPI. An Agentforce specialist wants to leverage the Record Snapshots grounding feature in a prompt template. What preparations are required?. Create a field set for all the fields to be grounded. Configure page layout of the master record type. Enable and configure dynamic form for the object. What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounded in a prompt template?. Activities such as tasks and events are excluded. Empty data, such as fields without values or sections without limits, is filtered out. Email addresses associated with the object are excluded. Sunrays Limited (SL) has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?. General Q&A topic and Knowledge Article Answers action. General CRM topic and Answers Questions with LLM Action. General FAQ topic and Answers Questions with Knowledge Action. Sunrays Limited (SL) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must: -Semantically search HR policies, compliance guidelines, and company procedures. -Ensure responses are grounded in published Knowledge. -Allow Knowledge updates to be reflected immediately without manual reconfiguration. What should SL do to ensure the agent retrieves the right information?. Enable the agent to search all internal records and past customer inquiries. Set up an Agentforce Data Library to store and index policy documents for AI retrieval. Manually add policy responses into the AI model to prevent hallucinations. What should Sunrays Limited (SL) consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?. Deploy agent components without a test run in staging, relying on production data for reliable results. Sandbox configuration alone ensures seamless production deployment. Ensure all dependencies are included, Apex classes meet 75% test coverage, and configuration settings are aligned with production. Plan for version management and post-deployment activation. Deploy flows or Apex after agents, topics, and Agent Actions to avoid deployment failures and potential production agent issues requiring complete redeployment. Sunrays Limited (SL) wants to implement an AI-powered customer service agent that can: -Retrieve proprietary policy documents that are stored as PDFs. -Ensure responses are grounded in approved company data, not generic LLM knowledge. What should SL do first?. Set up an Agentforce Data Library for AI retrieval of policy documents. Expand the AI agent's scope to search all Salesforce records. Add the files to the content, and then select the data library option. Sunrays Limited (SL) wants to ensure the effectiveness, reliability, and trust of its agents prior to deploying them in production. SL would like to efficiently test a large and repeatable number of utterances. What should the Agentforce Specialist recommend?. Leverage the Agent Large Language Model (LLM) UI and test SL's agents with different utterances prior to activating the agent. Deploy the agent in a QA sandbox environment and review the Utterance Analysis reports to review effectiveness. Create a CSV file with SL's test cases in Agentforce Testing Center using the testing template. Sunrays Limited (SL) currently tracks Leads with a custom object. SL is preparing to implement the Sales Development Representative (SDR) Agent. Which consideration should SL keep in mind?. Agentforce SDR only support custom objects associated with Accounts. Agentforce SDR only works with the standard Lead object. Agentforce SDR only works on opportunities. Sunrays Limited (SL) would like to route a service agent conversation to a human agent queue. Which tool connects the service agent to the human agent queue for escalation?. Screen Flow. Prompt Flow. Outbound Omni-Channel Flow. After configuring and saving a Salesforce Agentforce data library (regardless of the data source), which components are automatically created and available in Data Cloud?. A data stream, a search index, and a retriever. A data pipeline, an indexing engine, and a query processor. A data connector, an analytics dashboard, and a workflow rule. |




