2026 Itcertkr 최신 Agentforce-Specialist PDF 버전 시험 문제집과 Agentforce-Specialist 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=17Aj7aHYXl2kjE_6n8wn9hyWhBqRdfWac
Salesforce인증Agentforce-Specialist시험덤프공부자료는Itcertkr제품으로 가시면 자격증취득이 쉬워집니다. Itcertkr에서 출시한 Salesforce인증Agentforce-Specialist덤프는 이미 사용한 분들에게 많은 호평을 받아왔습니다. 시험적중율 최고에 많은 공부가 되었다고 희소식을 전해올때마다 Itcertkr는 더욱 완벽한Salesforce인증Agentforce-Specialist시험덤프공부자료로 수정하고기 위해 최선을 다해왔습니다. 최고품질으Salesforce인증Agentforce-Specialist덤프공부자료는Itcertkr에서만 찾아볼수 있습니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt best practices and optimization - Grounding techniques and context management - Prompt Builder and template creation |
| Topic 2: AI Agents and Agentforce Concepts | 35% | - Agent types: Employee, Service, Sales - Topics, actions, and reasoning engine - Agent security and user management - Channel integration and deployment |
| Topic 3: Multi-Agent Interoperability | 10% | - Agent API usage and integration - Model Context Protocol (MCP) - Agent-to-agent communication |
| Topic 4: Agent Development Lifecycle | 15% | - Testing and debugging in Testing Center - Sandbox to production deployment - Monitoring, adoption and governance |
| Topic 5: Data Cloud for Agentforce | 20% | - Data Library and unstructured data processing - Vector, keyword and hybrid search - Chunking, indexing and retrieval methods |
>> Salesforce Agentforce-Specialist퍼펙트 최신 덤프자료 <<
Itcertkr의Salesforce인증 Agentforce-Specialist덤프공부가이드에는Salesforce인증 Agentforce-Specialist시험의 가장 최신 시험문제의 기출문제와 예상문제가 정리되어 있어Salesforce인증 Agentforce-Specialist시험을 패스하는데 좋은 동반자로 되어드립니다. Salesforce인증 Agentforce-Specialist시험에서 떨어지는 경우Salesforce인증 Agentforce-Specialist덤프비용전액 환불신청을 할수 있기에 보장성이 있습니다.시험적중율이 떨어지는 경우 덤프를 빌려 공부한 것과 같기에 부담없이 덤프를 구매하셔도 됩니다.
질문 # 107
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?
정답：A
설명：
The Einstein Trust Layer is designed to ensure responsible and compliant AI usage. Data Masking (B) is the mechanism that directly addresses compliance with data protection regulations like GDPR by obscuring or anonymizing sensitive personal data (e.g., names, emails, phone numbers) before it is processed by AI models. This prevents unauthorized exposure of personally identifiable information (PII) and ensures adherence to privacy laws.
Salesforce documentation explicitly states that Data Masking is a core component of the Einstein Trust Layer, enabling organizations to meet GDPR requirements by automatically redacting sensitive fields during AI interactions. For example, masked data ensures that PII is not stored or used in AI model training or inference without explicit consent.
In contrast:
* Toxicity Scoring (A) identifies harmful or inappropriate content in outputs but does not address data privacy.
* Prompt Defense (C) guards against malicious prompts or injection attacks but focuses on security rather than data protection compliance.
Reference:
Salesforce Help Article: Einstein Trust Layer ("Data Masking" section).
Einstein Trust Layer Overview: "Data Protection and Compliance Features" (GDPR alignment via Data Masking).
질문 # 108
When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they ' ve written. They see two distinct text outputs: Resolution and Response. Which information does the Resolution text provide?
정답：C
설명：
In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs: Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety, compliance, and auditability. The Resolution text specifically refers to the full text that is sent to the Trust Layer for processing, monitoring, and governance (Option A). This includes the constructed prompt (with grounding data, instructions, and variables) as it's submitted to the large language model (LLM), along with any Trust Layer interventions (e.g., masking, filtering) applied before or after LLM processing. It's a comprehensive view of the input/output flow that the Trust Layer captures for auditing and compliance purposes.
Option B: The " Response " output in the preview shows the LLM's generated text based on the sample record, not the Resolution. Resolution encompasses more than just the LLM response-it includes the entire payload sent to the Trust Layer.
Option C: While the Trust Layer does mask sensitive data (e.g., PII) as part of its guardrails, the Resolution text doesn't specifically isolate " which sensitive data is masked. " Instead, it shows the full text, including any masked portions, as processed by the Trust Layer-not a separate masking log.
Option A: This is correct, as Resolution provides a holistic view of the text sent to the Trust Layer, aligning with its role in monitoring and auditing the AI interaction.
Thus, Option A accurately describes the purpose of the Resolution text in the prompt template preview.
Salesforce Agentforce Documentation: " Preview Prompt Templates " (Salesforce Help: https://help.
salesforce.com/s/articleView?id=sf.agentforce_prompt_preview.htm & type=5) Salesforce Einstein Trust Layer Documentation: " Trust Layer Outputs " (https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer.htm & type=5)
질문 # 109
Choose 1 option.
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set.
The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production.
What is the most likely cause of this issue?
정답：C
설명：
Per the AgentForce Deployment and Flow Integration Guide, when deploying flows via change sets, the flows arrive in the production org in "inactive" status by default. The administrator must manually activate the flow post-deployment before it can be executed by agents or users.
This explains why the agent encounters an error when attempting to run the flow-the system recognizes the flow but cannot invoke it because it remains inactive.
Option B is incorrect since permission errors would display an "insufficient privileges" message, not a runtime failure. Option C is unlikely because dependent Apex classes would be automatically handled if properly included in the deployment.
Therefore, the most likely cause is Option A - The flow was not manually activated in production after deployment.
Reference: AgentForce Deployment Guide - "Post-Deployment Flow Activation Requirements."
질문 # 110
A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agent capability helps the agent accomplish this?
정답：A
설명：
In this scenario, theAgentcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Agent can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
* Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
* Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
:
Salesforce Documentation onAgent
Trailhead Module onEinstein for Service
질문 # 111
Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent. Which Service Channel should the company use in the flow to ensure it's routed properly?
정답：B
설명：
Comprehensive and Detailed In-Depth Explanation:UC wants to route SMS text messages from an Agentforce Service Agent to a service rep using a flow. Let's identify the correct Service Channel.
* Option A: MessagingIn Salesforce, the "Messaging" Service Channel (part of Messaging for In-App and Web or SMS) handles text-based interactions, including SMS. When integrated with Omni-Channel Flow, the "Route Work" action uses this channel to route SMS messages to agents. This aligns with UC' s requirement for SMS routing, making it the correct answer.
* Option B: Route Work Action"Route Work" is an action in Omni-Channel Flow, not a Service Channel. It uses a channel (e.g., Messaging) to route work, so this is a component, not the channel itself, making it incorrect.
* Option C: Live Agent"Live Agent" refers to an older chat feature, not the current Messaging framework for SMS. It's outdated and unrelated to SMS routing, making it incorrect.
* Option D: SMS ChannelThere's no standalone "SMS Channel" in Salesforce Service Channels-SMS is encompassed within the "Messaging" channel. This is a misnomer, making it incorrect.
Why Option A is Correct:The "Messaging" Service Channel supports SMS routing in Omni-Channel Flow, ensuring proper handoff from the Agentforce Service Agent to a rep, per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Omni-Channel Integration > Messaging- Details SMS in Messaging channel.
* Trailhead: Omni-Channel Flow Basics- Confirms Messaging for SMS.
* Salesforce Help: Service Channels- Lists Messaging for text-based routing.
질문 # 112
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