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All Objectives for the Latest Agentforce-Specialist Guaranteed Questions Answer

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All Objectives for the Latest Agentforce-Specialist Guaranteed Questions Answer

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Salesforce Agentforce-Specialist Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q267-Q272):NEW QUESTION # 267
A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
* Capture the customer's issue, troubleshooting steps taken, and next actions.
* Be no longer than five sentences.
* Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state "No next action required." Which prompt template fallows Salesforce prompt design best practices?
required."
Format: Use numbered sentences for clarity.
  • A. Role: You are an experienced support agent.
    Task: Summarize the case notes,
    Context: Include customer issue, troubleshooting steps, and next actions.
    Constraints: Limit to 5 sentences, use plain language, and if no next action is found, state "No next action
  • B. Role: You are a case documentation assistant,
    Task: Write a summary of the support call.
    Context: Always describe the customer issue, troubleshooting, and resolution details.
    Constraints: The summary should be comprehensive and professional, but there is no limit on length or language style.
    Format: Use complete sentences in a narrative style.
  • C. Role: You are a support agent writing a case summary.
    Task: Provide a professional summary of the issue and troubleshooting steps.
    Contest: Include customer issue, steps taken, and next actions if available.
    Constraints: No strict sentence limit, but use plain language. If no next action is found, leave it out.
    Format: Use paragraphs for readability.
Answer: A
Explanation:
According to the Salesforce Prompt Builder Best Practices Guide, an effective prompt must include Role, Task, Context, Constraints, and Format clearly defined - a structure known as the RTCCF model. The documentation explains: "rompts should specify the assistant's role, define a clear task, include context and constraints, and provide output format instructions to ensure predictable and high-quality responses." Option A follows this framework precisely. It defines:
* Role: The assistant's identity ("experienced support agent").
* Task: Summarizing case notes.
* Context: Customer issue, troubleshooting steps, next actions.
* Constraints: Limit of 5 sentences, plain language, include "No next action required" if applicable.
* Format: Numbered sentences for clarity.
Options B and C omit critical prompt design elements such as strict constraints or output formatting and therefore do not align with Salesforce's prompt design standard.
References (AgentForce Documents / Study Guide):
* Salesforce Prompt Builder Guide: "rompt Structure Using RTCCF Model"
* AgentForce Prompt Template Design Guide: "Best Practices for Summarization Prompts"
* Salesforce AI Prompt Engineering Study Guide

NEW QUESTION # 268
The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page. Which AI capability should the team use?
  • A. Agent Builder
  • B. Prompt Builder
  • C. Model Builder
Answer: B
Explanation:
The hotel resort team needs an AI-generated guest summary with recommendations, displayed exclusively on the contact record page. Let's assess the options.
* Option A: Model BuilderModel Builder in Salesforce creates custom predictive AI models (e.g., for scoring or classification) using Data Cloud or Einstein Platform data. It's not designed for generating text summaries or embedding them on record pages, making it incorrect.
* Option B: Agent BuilderAgent Builder in Agentforce Studio creates autonomous AI agents for tasks like lead qualification or customer service. While agents can provide summaries, they operate in conversational interfaces (e.g., chat), not as static content on a record page. This doesn't meet the location-specific requirement, making it incorrect.
* Option C: Prompt BuilderEinstein Prompt Builder allows creation of prompt templates that generate text (e.g., summaries, recommendations) using Generative AI. The template can pull data from contact records (e.g., activity preferences) and be embedded as a Lightning component on the contact record page via a Flow or Lightning App Builder. This ensures the summary is available only where specified, meeting the team's needs perfectly and making it the correct answer.
Why Option C is Correct:
Prompt Builder's ability to generate contextual summaries and integrate them into specific record pages via Lightning components aligns with the team's requirements, as supported by Salesforce documentation.
References:
Salesforce Agentforce Documentation: Prompt Builder > Embedding Prompts - Details placement on record pages.
Trailhead: Build Prompt Templates in Agentforce - Covers summaries from object data.
Salesforce Help: Customize Record Pages with AI - Confirms Prompt Builder integration.

NEW QUESTION # 269
An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should the Agentforce Specialist recommend to achieve this use case?
  • A. Deploy UC's own custom foundational model on this data first.
  • B. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.
  • C. Fine-Tune the standard foundational model due to the complexity of the data.
Answer: B
Explanation:
For no-code implementations, Prompt Builder allows Agentforce Specialists to create prompt templates that dynamically ground responses in Salesforce CRM data (e.g., past purchases) and Data Cloud insights (e.
g., product interests) without custom coding. The standard foundation model (e.g., Einstein GPT) can synthesize this data into summaries, leveraging structured and unstructured sources (e.g., email/phone transcripts). Fine-tuning (B) or custom models (C) require code and are unnecessary here, as the use case does not involve unique data patterns requiring model retraining.

NEW QUESTION # 270
What is true of Agentforce Testing Center?
  • A. Running tests does not consume Einstein Requests.
  • B. Running tests risks modifying CRM data in a production environment.
  • C. Agentforce Testing Center can only be used in a production environment.
Answer: A
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 testing without 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 # 271
An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?
  • A. Agent Event Logs dashboard.
  • B. User Utterances dashboard.
  • C. AI Audit and Feedback Data dashboard.
Answer: B
Explanation:
The task requires analyzing user inputs, requests, and queries to identify patterns and trends in Agentforce interactions. Let's assess the options based on Agentforce's analytics capabilities.
* Option A: Agent Event Logs dashboard.Agent Event Logs capture detailed technical events (e.g., API calls, errors, or system-level actions) related to agent operations. While useful for troubleshooting or monitoring system performance, they are not designed to analyze user inputs or conversational trends. This option does not meet the requirement and is incorrect.
* Option B: AI Audit and Feedback Data dashboard.There's no specific "AI Audit and Feedback Data dashboard" in Agentforce documentation. Feedback mechanisms exist (e.g., user feedback on responses), and audit trails may track changes, but no single dashboard combines these for analyzing user queries and trends. This option appears to be a misnomer and is incorrect.
* Option C: User Utterances dashboard.The User Utterances dashboard in Agentforce Analytics is specifically designed to analyze user inputs, requests, and queries. It aggregates and visualizes what users are asking the agent, identifying patterns (e.g., common topics) and trends (e.g., rising query types). Specialists can use this to refine agent instructions or topics, making it the perfect tool for this task. This is the correct answer per Salesforce documentation.
Why Option C is Correct:
The User Utterances dashboard is tailored for conversational analysis, offering insights into user interactions that align with the specialist's goal of identifying patterns and trends. It's a documented feature of Agentforce Analytics for post-deployment optimization.
References:
Salesforce Agentforce Documentation: Agent Analytics > User Utterances Dashboard - Describes its use for analyzing user queries.
Trailhead: Monitor and Optimize Agentforce Agents - Highlights the dashboard's role in trend identification.
Salesforce Help: Agentforce Dashboards - Confirms User Utterances as a key tool for interaction analysis.

NEW QUESTION # 272
......
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