2026 PassTIP 최신 Agentforce-Specialist PDF 버전 시험 문제집과 Agentforce-Specialist 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=1VWKF1VhqMeQz0-1gC7Z0OFa2mfpMU4hk
IT인증시험이 다가오는데 어느 부분부터 공부해야 할지 망설이고 있다구요? 가장 간편하고 시간을 절약하며 한방에 자격증을 취득할수 있는 최고의 방법을 추천해드립니다. 바로 우리PassTIP IT인증덤프제공사이트입니다. PassTIP는 고품질 고적중율을 취지로 하여 여러분들인 한방에 시험에서 패스하도록 최선을 다하고 있습니다. Salesforce인증Agentforce-Specialist시험준비중이신 분들은PassTIP 에서 출시한Salesforce인증Agentforce-Specialist 덤프를 선택하세요.
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>> Agentforce-Specialist시험대비 덤프문제 <<
Salesforce인증Agentforce-Specialist시험을 패스하여 자격증을 취득한다면 여러분의 미래에 많은 도움이 될 것입니다.Salesforce인증Agentforce-Specialist시험자격증은 it업계에서도 아주 인지도가 높고 또한 알아주는 시험이며 자격증 하나로도 취직은 문제없다고 볼만큼 가치가 있는 자격증이죠.Salesforce인증Agentforce-Specialist시험은 여러분이 it지식테스트시험입니다.
질문 # 123
The support team at Coral Cloud Resorts needs to create a Flex prompt template that summarizes complex case histories for agent handoffs. The goal is to ensure summaries are concise and follow a specific three-part structure: Issue, Steps Taken, and Next Action.
What should an Agentforce Specialist recommend to ensure consistent data output?
정답：A
설명：
The correct answer is B because the requirement is about controlling the structure of generated text. In Prompt Builder, the cleanest way to obtain consistent output is to state the required format directly in the prompt instructions, including the exact section headings: Issue, Steps Taken, and Next Action. This gives the large language model a clear output contract and reduces variation between summaries.
Option A is wrong because chain-of-thought reasoning is not appropriate for exposing or forcing internal reasoning, and it does not guarantee a fixed business format. Option C is unnecessary because a flow can support orchestration, but the formatting requirement can be handled directly through explicit prompt instructions. Salesforce prompt engineering guidance emphasizes using clear task framing, examples, and structured instructions to improve output reliability.
질문 # 124
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls. How should UC meet this requirement?
정답：C
설명：
Comprehensive and Detailed In-Depth Explanation:
UC wants insights into product and competitor mentions during sales calls, leveraging Einstein Conversation Insights. Let's evaluate the options.
* Option A: Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.Einstein Conversation Insights analyzes call recordings to identify keywords like product and competitor names. Setup requires enabling the feature, connecting an external recording provider (e.g., Zoom, Gong), assigning permission sets (e.g., Einstein Conversation Insights User), and customizing insights by defining up to
25 products or competitors to track. Salesforce documentation confirms the 25-item limit for custom keywords, making this the correct, precise answer aligning with UC's needs.
* Option B: Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.There's no "recording managers" role in Einstein Conversation Insights setup-integration is with a provider, not a manager designation.
The limit is 25 keywords (not 50), and the option omits the critical step of connecting a provider, making it incorrect.
* Option C: Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products."Enable sales recording" is vague-Conversation Insights relies on external providers, not a native Salesforce recording feature. The keyword limit is 25, not 50, making this incorrect despite being closer than B.
Why Option A is Correct:
Option A accurately reflects the setup process and limits for Einstein Conversation Insights, meeting UC's requirement per Salesforce documentation.
References:
Salesforce Help: Set Up Einstein Conversation Insights- Details provider connection and 25-keyword limit.
Trailhead: Einstein Conversation Insights Basics- Covers permissions and customization.
Salesforce Agentforce Documentation: Sales Features- Confirms integration steps.
질문 # 125
The compliance team at Universal Containers has determined that a specific customer service prompt must only process data through a secure, self-hosted Amazon Bedrock model and must be prevented from accessing the default OpenAI models.
How should the Agentforce Specialist configure this specific model routing?
정답：A
설명：
The correct answer is C because the requirement is prompt-level model routing to a specific self-hosted Amazon Bedrock model. Salesforce supports Bring Your Own Large Language Model (BYOLLM) through AI Models, formerly Einstein Studio, and lists Amazon Bedrock as a supported provider. After the model is registered, the specialist can select that model for the relevant prompt template, ensuring the prompt uses the required model instead of a default provider. Option A is wrong because permission sets on metadata records are not how prompt templates route model execution. Option B is wrong because Private Connect controls network connectivity, not prompt-template model selection.
Compliance-sensitive routing must be handled by registering and selecting the approved model explicitly.
질문 # 126
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?
정답：A
설명：
UC has grounded a prompt template with a related list, but the responses are incorrect during UAT.
Grounding with related lists in Agentforce allows the AI to access data from child records linked to a parent object. Let's analyze the options.
* Option A: The related list is Read Only.Read-only status (e.g., via field-level security or sharing rules) might limit user edits, but it doesn't inherently prevent the AI from accessing related list data for grounding, as long as the running user (or system context) has read access. This is unlikely to cause incorrect responses and is not a primary consideration, making it incorrect.
* Option B: The related list prompt template option is not enabled.There's no specific "related list prompt template option" toggle in Prompt Builder. When grounding with a Record Snapshot or Flex template, related lists are included if properly configured (e.g., via object relationships). This option seems to be a misphrasing and doesn't align with documented settings, making it incorrect.
* Option C: The related list is not on the parent object's page layout.In Agentforce, grounding with related lists relies on the related list being defined and accessible in the parent object's metadata, often tied to its presence on the page layout. If the related list isn't on the layout, the AI might not recognize or retrieve its data correctly, leading to incomplete or incorrect responses. Salesforce documentation notes that related list data availability can depend on layout configuration, making this a plausible and common issue during UAT, and thus the correct answer.
Why Option C is Correct:
The absence of the related list from the parent object's page layout can disrupt data retrieval for grounding, leading to incorrect AI responses. This is a known configuration consideration in Agentforce setup and testing, as per official guidance.
References:
Salesforce Agentforce Documentation: Grounding with Related Lists - Notes dependency on page layout configuration.
Trailhead: Ground Your Agentforce Prompts - Highlights related list setup for accurate grounding.
Salesforce Help: Troubleshoot Prompt Responses - Lists layout issues as a common grounding problem.
질문 # 127
A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best suits this need?
정답：B
설명：
Step 1: Define the Requirements
The question specifies a sales manager's need to:
* Contact leads at scale: Handle a large volume of leads simultaneously.
* Hyper-relevant solutions: Deliver tailored solutions based on lead-specific data (e.g., CRM data, behavior).
* Customized communications: Personalize outreach (e.g., emails, messages) for each lead.
* Most efficient manner possible: Minimize manual effort and maximize automation.
This suggests a solution that leverages AI for personalization and automation for scale, ideally within the Salesforce ecosystem.
Step 2: Evaluate the Provided Options
A: Einstein Sales Assistant
* Description: Einstein Sales Assistant is not a distinct, standalone product in Salesforce documentation as of March 2025 but is often associated with features in Sales Cloud Einstein or Einstein Copilot for Sales. It typically acts as an AI-powered assistant embedded in the sales workflow, offering suggestions (e.g., next best actions), drafting emails, or summarizing calls.
* Analysis Against Requirements:
* Scale: It supports individual reps by enhancing productivity (e.g., drafting personalized emails quickly), but it doesn't inherently contact leads at scale autonomously. It requires human initiation for each interaction.
* Hyper-relevance: It leverages CRM data to provide relevant suggestions, making it capable of tailoring solutions.
* Customization: It can generate customized communications (e.g., emails grounded in CRM data), but this is manual or semi-automated.
* Efficiency: It streamlines rep tasks but lacks the autonomy to handle large-scale outreach without significant human oversight.
* Conclusion: Einstein Sales Assistant is a productivity tool for reps, not a solution for autonomous, large-scale lead contact. It's not the best fit.
B: Prompt Builder
* Description: Prompt Builder is a low-code tool within the Einstein 1 Platform that allows users to create reusable AI prompts for generating personalized content (e.g., emails, summaries) based on Salesforce CRM data. It integrates with generative AI models and can be embedded in workflows (e.g., via Flow) to automate content creation.
* Analysis Against Requirements:
* Scale: Alone, Prompt Builder generates content but doesn't execute outreach. When paired with automation tools like Flow or Agentforce, it can support large-scale communication by generating content for thousands of leads.
* Hyper-relevance: It uses CRM data (e.g., lead details from Data Cloud) to craft highly relevant messages or solutions tailored to each lead's context.
* Customization: It excels at producing customized communications, allowing users to define prompts that pull specific lead data for personalization.
* Efficiency: It reduces manual content creation effort, but efficiency depends on integration with an execution mechanism (e.g., Flow to send emails). Without this, it's incomplete for outreach.
질문 # 128
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아직도Salesforce Agentforce-Specialist 인증시험을 어떻게 패스할지 고민하시고 계십니까? PassTIP는 여러분이Salesforce Agentforce-Specialist덤프자료로Salesforce Agentforce-Specialist 인증시험에 응시하여 안전하게 자격증을 취득할 수 있도록 도와드립니다. Salesforce Agentforce-Specialist 시험가이드를 사용해보지 않으실래요? PassTIP는 여러분께Salesforce Agentforce-Specialist시험패스의 편리를 드릴 수 있다고 굳게 믿고 있습니다.
Agentforce-Specialist높은 통과율 시험자료: https://www.passtip.net/Agentforce-Specialist-pass-exam.html
참고: PassTIP에서 Google Drive로 공유하는 무료 2026 Salesforce Agentforce-Specialist 시험 문제집이 있습니다: https://drive.google.com/open?id=1VWKF1VhqMeQz0-1gC7Z0OFa2mfpMU4hk