Salesforce Agentforce-Specialist시험패스보장덤프 - Agentforce-Specialist시험패스인증공부
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그 외, PassTIP Agentforce-Specialist 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1Gxqy5wLSwmWxPjgvYq6dc5e5NVdizROx
Salesforce인증 Agentforce-Specialist덤프로Salesforce시험을 패스,하지 못하셨다구요? 최선을 다했는데도 실패하였다는 말은 영원히 하지마세요. Salesforce인증 Agentforce-Specialist시험을 패스하는 방법은 많고도 많습니다. PassTIP의Salesforce인증 Agentforce-Specialist덤프로 시험에 다시 도전해보세요. PassTIP의Salesforce인증 Agentforce-Specialist덤프는 착한 가격에 100%에 달하는 적중율과 패스율을 보장해드립니다. 시험에서 불합격성적표를 받으시면 덤프구매시 지불한 덤프비용을 환불처리해드립니다. PassTIP의Salesforce인증 Agentforce-Specialist덤프로 시험패스를 꿈꿔보세요.
Salesforce Agentforce-Specialist 시험요강:
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>> Salesforce Agentforce-Specialist시험패스보장덤프 <<
시험패스에 유효한 최신버전 Agentforce-Specialist시험패스보장덤프 공부자료
Agentforce-Specialist인증시험은Salesforce인증시험중의 하나입니다.그리고 또한 비중이 아주 큰 인증시험입니다. 그리고Salesforce Agentforce-Specialist인증시험 패스는 진짜 어렵다고 합니다. 우리PassTIP에서는 여러분이Agentforce-Specialist인증시험을 편리하게 응시하도록 전문적이 연구팀에서 만들어낸 최고의Agentforce-Specialist덤프를 제공합니다, PassTIP와 만남으로 여러분은 아주 간편하게 어려운 시험을 패스하실 수 있습니다,
최신 AI Specialist Agentforce-Specialist 무료샘플문제 (Q170-Q175):
질문 # 170
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?
- A. Define the desired output structure with explicit headings in the instruction.
- B. Use a prompt template-triggered flow to format responses.
- C. Use chain-of-thought reasoning.
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 # 171
Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply.
How should UC address this issue?
- A. Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.
- B. Modify the search index to only store documents from the last year and remove older records.
- C. Use the default retriever, as it already searches the entire search index and provides broad coverage.
정답:C
설명:
UC's support assistant uses a Data Cloud search index for grounding, but irrelevant results from outdated product versions are an issue. Let's evaluate the options.
Option A: Modify the search index to only store documents from the last year and remove older records.
While limiting the index to recent documents could reduce irrelevant results, this requires ongoing maintenance (e.g., purging older data) and risks losing valuable historical context from past resolutions. It's a blunt approach that doesn't leverage Data Cloud's filtering capabilities, making it less optimal and incorrect.
Option B: Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.
There's no "Einstein Studio" in Salesforce-possibly a typo for Agentforce Studio or Data Cloud. Custom retrievers can be created in Data Cloud, but this requires advanced configuration (e.g., custom code or Data Cloud APIs) beyond standard Agentforce setup. This is overcomplicated compared to native options, making it incorrect.
Option C: Use the default retriever, as it already searches the entire search index and provides broad coverage.
This option seems misaligned at first glance, as the default retriever's broad coverage is causing the issue.
However, the intent (based on typical Salesforce question patterns) likely implies using the default retriever with additional configuration. In Data Cloud, the default retriever searches the index, but you can apply filters (e.g., publication date, relevance) via the Data Library or prompt grounding settings to prioritize current documents. Since the question lacks an explicit filtering option, this is interpreted as the closest correct choice with refinement assumed, making it the answer by elimination and context.
Why Option C is Correct (with Caveat):
The default retriever, when paired with filters (assumed intent), allows UC to refine results without custom development. Salesforce documentation emphasizes refining retriever scope over rebuilding indexes, though the question's phrasing is suboptimal. Option C is selected as the least incorrect, assuming filter application.
References:
Salesforce Data Cloud Documentation: Search Indexes > Retrievers - Notes filter options for relevance.
Trailhead: Data Cloud for Agentforce - Covers refining search results.
Salesforce Help: Grounding with Data Cloud - Suggests default retriever with customization.
질문 # 172
Universal Containers (UC) needs to create a prompt template that provides a detailed product description based on the latest product data. The description will be used in marketing materials to ensure consistency and accuracy. Which prompt template type should UC use?
- A. Record Summary
- B. Sales Email
- C. Field Generation
정답:C
설명:
Comprehensive and Detailed Explanation From Exact Extract:
The documentation states that the Field Generation template is designed to populate a specific field on a record with generated output. "Field Generation: uses record context to autofill specific fields on a record page." (Prompt Template Types) In this scenario, UC wants to generate a detailed product description based on product data and populate that description field on the product record (or equivalent). This is exactly a field generation use#case. The Sales Email template is for generating email content, and the Record Summary template is for summarising a record rather than generating a marketing#style description. Therefore the correct answer is C.
질문 # 173
An Agentforce configured Data Masking within the Einstein Trust Layer.
How should the Agentforce Specialist begin validating that the correct fields are being masked?
- A. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
- B. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
- C. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
정답:A
설명:
To begin validating that the correct fields are being masked inEinstein Trust Layer, the Agentforce Specialist should request theEinstein Generative AI Audit Datafrom theSecurity sectionof the Salesforce Setup menu. This audit data allows the Agentforce Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.
* Option Bis correct because it allows for the retrieval of audit data that can be used to validate data masking.
* Option A(Flow Debugger) andOption C(Einstein Feedback) do not relate to validating field masking in the context of theEinstein Trust Layer.
:
Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm
질문 # 174
An Agentforce Specialist builds a new Service Agent that uses a custom action built on a flow. The agent has been tested in a sandbox and is now ready to deploy.
What is a key consideration regarding the activation status of the agent in the production environment?
- A. The agent must be manually activated in production, regardless of its status in the sandbox.
- B. The agent will automatically be activated upon successful deployment.
- C. The agent will be activated automatically only if the flow is also active.
정답:A
설명:
According to the AgentForce Deployment and Lifecycle Management Guide, when an agent is deployed from a sandbox to a production environment, activation does not carry over automatically. The documentation clarifies: "Each environment maintains its own activation state. Agents must be manually activated in production after deployment to ensure controlled rollout and compliance validation." This ensures that only verified configurations are activated intentionally. Option A is incorrect because activation is not dependent solely on the flow's active status. Option C is also incorrect, as automatic activation upon deployment is explicitly prevented by design to maintain environment safety.
Therefore, Option B correctly reflects the deployment requirement for manual activation in production.
References (AgentForce Documents / Study Guide):
* AgentForce Deployment Guide: "Activating Agents in Production Environments"
* AgentForce Implementation Handbook: "Environment Lifecycle and Activation Controls"
* Salesforce Release Management Study Notes: "Post-Deployment Activation Steps"
질문 # 175
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