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[Hardware] Latest Agentforce-Specialist Practice Materials | Detailed Agentforce-Specialist

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【Hardware】 Latest Agentforce-Specialist Practice Materials | Detailed Agentforce-Specialist

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Salesforce Agentforce-Specialist Exam Syllabus Topics:
TopicDetails
Topic 1
  • Prompt Engineering: This section measures the skills of AI Developers and focuses on prompt engineering techniques. It covers identifying when to use Prompt Builder, managing prompt templates, selecting appropriate grounding techniques, and explaining the process for creating and executing prompt templates.
Topic 2
  • Agentforce and Data Cloud: This section measures the skills of AI Developers and addresses how Agentforce integrates with Data Cloud to improve response accuracy and personalize answers. It involves grounding with retrievers in Data Cloud to enhance agent performance.
Topic 3
  • Agentforce and Sales Cloud: This section assesses the skills of AI Developers and covers identifying the correct generative AI features in Agentforce for Sales Cloud scenarios. It also includes determining when to use Agentforce Sales Agents, such as Sales Development Representatives (SDRs) and Sales Coaches.
Topic 4
  • Agentforce and Service Cloud: This section measures the skills of AI Engineers and focuses on building agents that answer questions based on Knowledge articles and connecting them to digital channels. It also covers identifying the correct generative AI features in Agentforce for Service Cloud scenarios.
Topic 5
  • Agentforce Concepts: This section assesses the skills of AI Engineers and covers how Agentforce works, including its reasoning engine, standard and custom topics, agent actions, and user security management. It also includes testing and deploying agents from sandbox to production environments.

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Salesforce Certified Agentforce Specialist Sample Questions (Q157-Q162):NEW QUESTION # 157
Universal Containers (UC) needs to capture and store detailed interaction data for all agents.
Which feature should help UC get a full view of the agent's behavior from start to finish, including reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses?
  • A. Agentforce Analytics
  • B. Utterance Analysis
  • C. Agentforce Session Tracing
Answer: C
Explanation:
The AgentForce Observability and Diagnostics Guide details that AgentForce Session Tracing provides the most comprehensive visibility into agent operations. The documentation explains: "Session Tracing captures the entire execution flow for each agent session - including reasoning engine decisions, executed actions, prompts, gateway inputs and outputs, error logs, and final agent responses - to provide an end-to-end view of agent behavior." Agentforce Analytics (Option A) focuses on aggregated performance metrics like usage, engagement, and accuracy trends rather than deep operational data.
Utterance Analysis (Option B) evaluates specific interactions or conversation snippets but does not include reasoning engine or system-level traces.
Hence, Option C - AgentForce Session Tracing - is correct as it provides detailed, end-to-end diagnostic insight across all agent executions.
References (AgentForce Documents / Study Guide):
AgentForce Observability Guide: "Using Session Tracing for End-to-End Agent Visibility" AgentForce Implementation Handbook: "Tracing Reasoning and Action Flows" AgentForce Study Guide: "Monitoring and Debugging with Session Tracing"

NEW QUESTION # 158
What is true of Agentforce Testing Center?
  • A. Agentforce Testing Center can only be used in a production environment.
  • B. Running tests does not consume Einstein Requests.
  • C. Running tests risks modifying CRM data in a production environment.
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance. Let's evaluate the statements.
* Option A: Running tests risks modifying CRM data in a production environment.Agentforce Testing Center runs synthetic interactions in a controlled environment (e.g., sandbox or isolated test space) and doesn't modify live CRM data. It's designed for safe pre-deployment testing, making this incorrect.
* Option B: Running tests does not consume Einstein Requests.Einstein Requests are part of the usage quota for Einstein Generative AI features (e.g., prompt executions in production). Testing Center uses synthetic data to simulate interactions without invoking live AI calls that count against this quota.
Salesforce documentation confirms tests don't consume requests, making this the correct answer.
* Option C: Agentforce Testing Center can only be used in a production environment.Testing Center is available in both sandbox and production orgs, but it's primarily used pre-deployment (e.g., in sandboxes) to validate agents safely. This restriction is false, making it incorrect.
Why Option B is Correct:Not consuming Einstein Requests is a key feature of Testing Center, allowing extensive testingwithout impacting quotas, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Testing Center > Overview- Confirms no request consumption.
* Trailhead: Test Your Agentforce Agents- Notes quota-free testing.
* Salesforce Help: Agentforce Testing- Details safe, isolated testing.

NEW QUESTION # 159
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?
  • A. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response.
  • B. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
  • C. Einstein Copilot will perform an HTTP callout to an LLM provider.
Answer: A
Explanation:
Einstein Copilot is designed to enhance user interaction within Salesforce by leveraging Large Language Models (LLMs) to process and respond to user inquiries. When a user submits a request, Einstein Copilot analyzes the input using natural language processing techniques. It then utilizes LLM technology to generate an appropriate and contextually relevant response, which is displayed directly to the user within the Salesforce interface.
OptionCaccurately describes this process. Einstein Copilot does not necessarily trigger a flow (Option A) or perform an HTTP callout to an LLM provider (Option B) for each user request. Instead, it integrates LLM capabilities to provide immediate and intelligent responses, facilitating a broad range of user requests.
References:
* SalesforceAgentforce SpecialistDocumentation - Einstein Copilot Overviewetails how Einstein Copilot employs LLMs to interpret user inputs and generate responses within the Salesforce ecosystem.
* Salesforce Help - How Einstein Copilot Works:Explains the underlying mechanisms of how Einstein Copilot processes user requests using AI technologies.

NEW QUESTION # 160
Coral Cloud Resorts (CCR) wants to configure its agent so that booking actions are only available when a customer's membership tier is "remium" or "Elite". This business rule must be enforced deterministically.
What should CCR implement?
  • A. Configure topic instructions that clearly state booking actions should only be used for Premium or Elite customers and include examples.
  • B. Set up custom validation rules on the underlying booking objects to prevent non-eligible customers from completing bookings.
  • C. Create a context variable mapped to the customer's membership tier field, then add a conditional filter on MembershipTier.
Answer: C
Explanation:
Per the AgentForce Configuration and Control Flow Guide, enforcing deterministic business rules-such as restricting certain actions based on a data condition-requires using context variables with conditional filters. The guide specifies: "Use context variables mapped to relevant Salesforce fields to store state information. Then apply conditional filters to ensure actions execute only when specific conditions (e.g., membership tier) are met." This ensures the rule is deterministic, meaning the action cannot trigger if the condition is not satisfied.
Option A (object validation rules) restricts record creation or updates but does not control AgentForce's action logic. Option B (topic instructions) relies on natural language guidance, which is non-deterministic and can be ignored by the model.
Therefore, Option C-creating a context variable mapped to the membership tier and applying a conditional filter-is the correct, documented approach.
References (AgentForce Documents / Study Guide):
* AgentForce Implementation Guide: "Conditional Logic Using Context Variables"
* AgentForce Study Guide: "Deterministic Action Control with Filters"
* Salesforce Agent Configuration Best Practices

NEW QUESTION # 161
Universal Containers has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?
  • A. General Q&A topic and Knowledge Article Answers action.
  • B. General FAQ topic and Answers Questions with Knowledge Action.
  • C. General CRM topic and Answers Questions with LLM Action.
Answer: B
Explanation:
UC's agent answers questions using Knowledge articles, configured in Agent Builder. Let's identify the topic and action.
* Option A: General Q&A topic and Knowledge Article Answers action."General Q&A" is not a standard topic name in Agentforce, and "Knowledge Article Answers" isn't a predefined action. This lacks specificity and doesn't match documentation, making it incorrect.
* Option B: General CRM topic and Answers Questions with LLM Action."General CRM" isn't a default topic, and "Answers Questions with LLM" suggests raw LLM responses, not Knowledge- grounded ones. This doesn't align with the Knowledge focus, making it incorrect.
* Option C: General FAQ topic and Answers Questions with Knowledge Action.In Agent Builder, the "General FAQ" topic is a common default or starting point for question-answering agents. The
"Answers Questions with Knowledge" action (sometimes styled as "Answer with Knowledge") is a prebuilt action that retrieves and grounds responses with Knowledge articles. This matches UC's implementation and is explicitly supported in documentation, making it the correct answer.
Why Option C is Correct:
"General FAQ" and "Answers Questions with Knowledge" are the standard topic-action pair for Knowledge- based question answering in Agentforce, per Salesforce resources.
References:
Salesforce Agentforce Documentation: Agent Builder > Actions - Lists "Answers Questions with Knowledge." Trailhead: Build Agents with Agentforce - Describes FAQ topics with Knowledge actions.
Salesforce Help: Knowledge in Agentforce - Confirms this configuration.

NEW QUESTION # 162
......
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