AGENTFORCE-SPECIALIST RELIABLE TEST SIMULATOR & RELIABLE AGENTFORCE-SPECIALIST EXAM TESTKING

Agentforce-Specialist Reliable Test Simulator & Reliable Agentforce-Specialist Exam Testking

Agentforce-Specialist Reliable Test Simulator & Reliable Agentforce-Specialist Exam Testking

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Salesforce Certified Agentforce Specialist Sample Questions (Q37-Q42):

NEW QUESTION # 37
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?

  • A. Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.
  • B. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.
  • C. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let's evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activationstatus-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex- Notes standard Apex deployment rules apply.
* Salesforce Developer Guide: Apex Testing- Confirms 75% coverage requirement.
* Trailhead: Deploy Apex Code- Emphasizes coverage and dependencies for production.


NEW QUESTION # 38
What is true of Agentforce Testing Center?

  • A. Running tests risks modifying CRM data in a production environment.
  • B. Agentforce Testing Center can only be used in a production environment.
  • C. Running tests does not consume Einstein Requests.

Answer: C

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 # 39
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. Which Salesforce feature should the company use to address these concerns?

  • A. Einstein Prompt Builder and Prompt Templates.
  • B. Einstein Recommendation Builder.
  • C. Agent Builder and Action: Query Records.

Answer: A

Explanation:
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 reusableprompt templatesthat 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.
References:
* Salesforce Agentforce Documentation: Einstein Prompt Builder- Details prompt templates for consistency and efficiency.
* Trailhead: Build Prompt Templates in Agentforce- Explains time-saving benefits of templates.
* Salesforce Help: Generative AI with Prompt Builder- Confirms use for streamlining rep interactions.


NEW QUESTION # 40
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

  • A. Einstein Reply Recommendations and Case Summaries
  • B. Einstein Service Replies and Work Summaries
  • C. Einstein Reply Recommendations and Case Classification

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to streamline customer support by addressing two goals: reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto-suggesting case field values. In Salesforce Agentforce for Service,Einstein Reply RecommendationsandCase Classification(Option A) are the ideal combination to achieve this.
* Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to-use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
* Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.
* Option B: While "Einstein Reply Recommendations" is correct for the first part, "Case Summaries" generates a summary of the case rather than suggesting specific field values. Summaries are useful for documentation but don't directly reduce post-chat field entry time.
* Option C: "Einstein Service Replies" is not a distinct, documented feature in Agentforce (possibly a distractor for Reply Recommendations), and "Work Summaries" applies more to summarizing work orders or broader tasks, not case field suggestions in a chat context.
* Option A: This combination precisely targets both in-chat efficiency (Reply Recommendations) and post-chat automation (Case Classification).
Thus, Option A is the correct answer for UC's needs.
References:
* Salesforce Agentforce Documentation: "Einstein Reply Recommendations" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.einstein_reply_recommendations.htm&type=5)
* Salesforce Agentforce Documentation: "Case Classification" (Salesforce Help:https://help.salesforce.
com/s/articleView?id=sf.case_classification.htm&type=5)
* Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce- for-service)


NEW QUESTION # 41
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 FAQ topic and Answers Questions with Knowledge Action.
  • B. General Q&A topic and Knowledge Article Answers action.
  • C. General CRM topic and Answers Questions with LLM Action.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth 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 # 42
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