2026 Pass4Test 최신 Agentforce-Specialist PDF 버전 시험 문제집과 Agentforce-Specialist 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=1oYX1ZM-9FCJcg-hEh8Od33EaCJJRqvE2
Pass4Test는 유일하게 여러분이 원하는Salesforce인증Agentforce-Specialist시험관련자료를 해결해드릴 수 잇는 사이트입니다. 여러분이 다른 사이트에서도 관련덤프자료를 보셨을경우 페이지 아래를 보면 자료출처는 당연히 Pass4Test 일 것입니다. Pass4Test의 자료만의 제일 전면적이고 또 최신 업데이트일 것입니다.
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Agentforce Specialist |
| Exam Number: | Agentforce-Specialist |
| Exam Price: | USD 200 |
| Passing Score: | 73% |
| Exam Format: | Multiple-select, Multiple-choice |
| Available Languages: | English |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified AI Specialist (Legacy) Salesforce Certified AI Associate |
| Sample Questions: | Salesforce Agentforce-Specialist Sample Questions |
| Exam Way: | Online (Proctored) or Testing Center |
| Pre Condition: | None |
| Official Syllabus URL: | https://trailhead.salesforce.com/help?article=Salesforce-Certified-Agentforce-Specialist-Exam-Guide |
>> Salesforce Agentforce-Specialist시험문제집 <<
만약 아직도Salesforce Agentforce-Specialist인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Salesforce Agentforce-Specialist인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금Pass4Test에서Salesforce Agentforce-Specialist인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.
| 주제 | 소개 |
|---|---|
| 주제 1 |
|
| 주제 2 |
|
| 주제 3 |
|
| 주제 4 |
|
| 주제 5 |
|
질문 # 296
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Agent is enabled?
정답：A
설명：
When the"Enrich event logs with conversation data"setting is enabled inAgent, it allows An Agentforce or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past
7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping Agentforce Specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce Agentforce Specialist References:
You can refer to this documentation for further insights:https://help.salesforce.com/s/articleView?id=sf.
einstein_copilot_event_logging.htm
질문 # 297
Choose 1 option.
What is an Agentforce Specialist able to do when the 'Enrich event logs with conversation data' setting in the Agentforce configuration is enabled?
정답：B
설명：
The AgentForce Event and Logging Configuration Guide states that enabling "Enrich event logs with conversation data" allows administrators to capture session-level details, including both user inputs and agent responses. The documentation explains: "When this setting is enabled, conversation transcripts, user messages, and agent responses are appended to the event logs for improved visibility and troubleshooting." This provides a comprehensive record for analytics, training, and quality review. It does not, however, track user click paths (Option A) or generate aggregated historical reports across all time periods automatically (Option C).
Therefore, Option B is correct, as it directly reflects the documented functionality of the conversation data enrichment feature within AgentForce configuration.
References (AgentForce Documents / Study Guide):
* AgentForce Configuration and Monitoring Guide: "Enrich Event Logs with Conversation Data"
* AgentForce Data and Analytics Study Notes
* AgentForce Implementation Handbook: "Session and Conversation Log Management"
질문 # 298
A business stakeholder wants to use Al to generate a summary based on Data Cloud data.
Which method(s) should the stakeholder use to access Data Cloud data from Prompt Builder?
정답：B
설명：
The Prompt Builder and Data Cloud Integration Guide explains that Data Cloud information can be accessed directly through Data Cloud related lists or prompt-initiated flows, which fetch relevant data dynamically. The documentation states: "Prompt Builder supports retrieving Data Cloud data using related lists for contextual grounding or invoking flows that query Data Cloud objects at runtime. This enables AI prompts to generate summaries, recommendations, or insights directly from unified customer profiles." Option A is incorrect because direct access to data model objects (DMOs) in Flex templates is not supported in Prompt Builder. Option C (external APIs) is unnecessary, as Prompt Builder has native integration with Data Cloud.
Thus, Option B is the correct and Salesforce-documented method to access Data Cloud data from Prompt Builder.
References (AgentForce Documents / Study Guide):
Salesforce Prompt Builder Guide: "Integrating with Data Cloud"
AgentForce Study Guide: "Fetching Data Cloud Data with Prompt-Initiated Flows" Salesforce Data Cloud Documentation: "Using Related Lists in Prompt Templates"
질문 # 299
Choose 1 option.
Universal Containers (UC) has registered an external service and created a template-triggered prompt flow that invokes the external service to fetch data from a REST API. UC now needs to make the response data from the external service usable inside a prompt template as a merge field when the template runs.
How should UC meet this requirement?
정답：A
설명：
As outlined in the AgentForce External Services and Prompt Flow Integration Guide, when data is retrieved from a registered external service via REST API, the response payload is stored as External Service Records. These records can then be referenced dynamically within prompt templates through External Service Record merge fields.
This approach allows the large language model (LLM) to use the fetched data as contextual grounding during prompt execution, ensuring that generated responses are accurate and consistent with the latest API results.
Option B is incorrect because AgentForce does not use XML merge fields for API responses; JSON data is automatically mapped to object structures. Option C is also incorrect - the "Add Prompt Instructions" element modifies prompt context or tone but does not pass external data for merge use.
Therefore, the correct method is Option A - Use External Service Record merge fields, ensuring the external service data is directly available for prompt templates.
Reference: AgentForce Developer Guide - "Integrating External Services and Using Merge Fields in Prompt Flows."
질문 # 300
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the Agentforce Specialist investigate as the root cause?
정답：C
설명：
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B).
In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
Review Action Instructions: Ensure each custom action has distinct, context-specific instructions. For example:
Action 1: "Summarize quarterly sales by region."
Action 2: "Generate a product-wise sales breakdown for the current fiscal year." Action 3: "Provide a comparison of sales performance between online and in-store channels."Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
Why Other Options Are Incorrect:
A). Assigning actions to an agent is irrelevant, as custom actions are automated bot components.
C). Input/output types relate to data formatting, not intent routing. While important for execution, they don't resolve utterance mismatches.
Einstein Bot Developer Guide: Stresses the need for unique action instructions to avoid intent conflicts.
Trailhead Module: "Build AI-Powered Bots with Einstein" highlights instruction specificity for accurate action triggering.
Salesforce Help Documentation: Recommends testing and refining action instructions to ensure clarity in utterance mapping.
질문 # 301
......
Agentforce-Specialist적중율 높은 시험덤프자료: https://www.pass4test.net/Agentforce-Specialist.html
BONUS!!! Pass4Test Agentforce-Specialist 시험 문제집 전체 버전을 무료로 다운로드하세요: https://drive.google.com/open?id=1oYX1ZM-9FCJcg-hEh8Od33EaCJJRqvE2