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Agentforce-Specialist시험문제집즉덤프가지니고있는장점 - Salesforce Certified Agentforce Specialist

Pass4Test의 Salesforce Agentforce-Specialist 덤프로 시험을 준비하면Salesforce Agentforce-Specialist시험패스를 예약한것과 같습니다. 가장 최근 출제된Salesforce Agentforce-Specialist시험문제를 바탕으로 만들어진 적중율 최고인 덤프로서 간단한 시험패스는 더는 꿈이 아닙니다. 덤프는 pdf파일과 온라인서비스로 되어있는데 pdf버전은 출력가능하고 온라인버전은 휴대폰에서도 작동가능합니다.

Salesforce Agentforce-Specialist 시험요강:

주제
소개

주제 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.

주제 2

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.

주제 3

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.

주제 4

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.

주제 5

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.

>> Agentforce-Specialist최신버전 덤프데모문제 <<

Agentforce-Specialist시험덤프문제, Agentforce-Specialist시험대비 최신버전 자료

Salesforce인증 Agentforce-Specialist시험준비중이신 분들은Salesforce인증 Agentforce-Specialist시험통과가 많이 어렵다는것을 알고 있을것입니다. 학교공부하랴,회사다니랴 자격증공부까지 하려면 너무 많은 정력과 시간이 필요할것입니다. 그렇다고 자격증공부를 포기하면 자신의 위치를 찾기가 힘들것입니다. Pass4Test 덤프는 IT인증시험을 대비하여 제작된것이므로 시험적중율이 높아 다른 시험대비공부자료보다 많이 유용하기에 IT자격증을 취득하는데 좋은 동반자가 되어드릴수 있습니다. Pass4Test 덤프를 사용해보신 분들의 시험성적을 통계한 결과 시험통과율이 거의 100%에 가깝다는 놀라운 결과를 얻었습니다.

최신 AI Specialist Agentforce-Specialist 무료샘플문제 (Q196-Q201):

질문 # 196
Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?

A. The data source can be changed through the Data Cloud settings.
B. The data source cannot be changed after it is selected.
C. The Data Retriever can be reconfigured to use a different data source.

정답：B

설명：
Why is "The data source cannot be changed after it is selected" the correct answer?
When configuring an Agentforce Data Library, the data source selection is permanent. Once a data source is set, it cannot be modified or replaced. This design ensures data consistency, security, and reliability within Salesforce's AI-driven environment.
Key Considerations in Agentforce Data Library
* Data Source Lock-In
* The chosen data source remains fixed to maintain data integrity and avoid inconsistencies.
* Any updates or modifications require creating a new Data Library instead of modifying the existing one.
* Why Can't the Data Source Be Changed?
* The data source defines the foundation of AI-driven workflows, and any modification would disrupt processing logic.
* Agentforce tools rely on structured datasets to enable AI-powered recommendations, and changing data sources could lead to inconsistencies in grounding techniques.
* Workarounds for Changing Data Sources
* If an organization needs to use a different data source, a new Agentforce Data Library must be created and configured from scratch.
* Old data can be manually migrated into the new data source for continuity.
Why Not the Other Options?
# A. The data source can be changed through the Data Cloud settings.
* Incorrect because once the data source is linked to an Agentforce Data Library, it cannot be altered, even via Data Cloud settings.
# B. The Data Retriever can be reconfigured to use a different data source.
* Incorrect as the Data Retriever works within the constraints of the selected data source and does not provide an option to swap data sources post-selection.
Agentforce Specialist References
The Salesforce AI Specialist Material and Salesforce Instructions for the Certification confirm that once a data source is set for an Agentforce Data Library, it cannot be changed.

질문 # 197
Universal Containers (UC) has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps.
Which generative AI solution should the new support reps use to understand the details of a case without reading through each case comment?

A. Einstein Sales Summaries
B. Einstein Work Summaries
C. Agent

정답：B

설명：
New customer support reps at Universal Containers can use Einstein Work Summaries to quickly understand the details of a case without reading through each case comment. Work Summaries leverage generative AI to provide a concise overview of ongoing cases, summarizing all relevant information in an easily digestible format.
* Agent can assist with a variety of tasks but is not specifically designed for summarizing case details.
* Einstein Sales Summaries are focused on summarizing sales-related activities, which is not applicable for support cases.
For more details, refer to Salesforce documentation on Einstein Work Summaries.

질문 # 198
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the "summary"'

A. Issue and Revolution
B. Draft Survey Request Email
C. Sentiment Analysis and Emotion Detection

정답：A

설명：
Einstein Work Summaries automatically generate concise summaries of customer interactions (e.g., chat transcripts). Beyond the "summary" field, it extracts and populates Issue (key problem discussed) and Resolution (action taken to resolve the issue). These fields help agents and supervisors quickly grasp the conversation's context without reviewing the full transcript.
* Sentiment Analysis and Emotion Detection (Option A): While Einstein Conversation Insights provides sentiment scores and emotion detection, these are separate from Work Summaries.Work Summaries focus on factual summaries, not sentiment.
* Draft Survey Request Email (Option B): Not part of Work Summaries. This would require automation tools like Flow or Email Studio.
* Issue and Resolution (Option C): Directly referenced in Salesforce documentation as fields populated by Einstein Work Summaries.
References:
* Salesforce Help Article: Einstein Work Summaries
* Einstein Work Summaries focus on "key details like Issue and Resolution" alongside summaries.
* Contrast with Einstein Conversation Insights for sentiment/emotion analysis.

질문 # 199
Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

A. Assign the Manage Users permission to the Agentforce Agent user.
B. Assign the Run Flows permission to the Agentforce Agent user.
C. Recreate the flow using the Agentforce agent user.

정답：B

설명：
Comprehensive and Detailed In-Depth Explanation:UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let's assess the options.
* Option A: Recreate the flow using the Agentforce agent user.Flows are authored by admins or developers, not "recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn't the flow's creation context but its execution permissions. This option is impractical and incorrect.
* Option B: Assign the Manage Users permission to the Agentforce Agent user.The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent's needs, making it incorrect.
* Option C: Assign the Run Flows permission to the Agentforce Agent user.The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce's security model and Agentforce setup requirements. This is the correct answer.
Why Option C is Correct:Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions- Requires "Run Flows" for flow-based actions.
* Trailhead: Set Up Agentforce Service Agents- Lists "Run Flows" in agent user permissions.
* Salesforce Help: Agentforce Security > Permissions- Confirms flow execution needs.

질문 # 200
What is a valid use case for Data Cloud retrievers?

A. Returning relevant data from the vector database to augment a prompt.
B. Modifying and updating data within the source systems connected to Data Cloud.
C. Grounding data from external websites to augment a prompt with RAG.

정답：A

설명：
Comprehensive and Detailed In-Depth Explanation:Salesforce Data Cloud integrates with Agentforce to provide real-time, unified data access for AI-driven applications.Data Cloud retrieversare specialized components that fetch relevant data from Data Cloud's vector database-a storage system optimized for semantic search and retrieval-to enhance agent responses or actions. A valid use case, as described in Option A, is using these retrievers to return pertinent data (e.g., customer purchase history, support tickets) from the vector database to augment a prompt. This process, often part of Retrieval-Augmented Generation (RAG), allows the LLM to generate more accurate, context-aware responses by grounding its output in structured, searchable data stored in Data Cloud.
* Option B: Grounding data from external websites is not a primary function of Data Cloud retrievers.
While RAG can incorporate external data, Data Cloud retrievers specifically work with data within Salesforce's ecosystem (e.g., the vector database or harmonized data lakes), not arbitrary external websites. This makes B incorrect.
* Option C: Data Cloud retrievers are read-only mechanisms designed for data retrieval, not for modifying or updating source systems. Updates to source systems are handled by other Salesforce tools (e.g., Flows or Apex), not retrievers.
Option A is correct because it aligns with the core purpose of Data Cloud retrievers: enhancing prompts with relevant, vectorized data from within Salesforce Data Cloud.
References:
* Salesforce Data Cloud Documentation: "Data Cloud for Agentforce" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.data_cloud_agentforce.htm&type=5)
* Trailhead: "Data Cloud Basics" module (https://trailhead.salesforce.com/content/learn/modules/data- cloud-basics)

질문 # 201
......

Pass4Test는 몇년간 최고급 덤프품질로 IT인증덤프제공사이트중에서 손꼽히는 자리에 오게 되었습니다. Salesforce Agentforce-Specialist 덤프는 많은 덤프들중에서 구매하는 분이 많은 인기덤프입니다. Salesforce Agentforce-Specialist시험준비중이신 분이시라면Salesforce Agentforce-Specialist한번 믿고 시험에 도전해보세요. 좋은 성적으로 시험패스하여 자격증 취득할것입니다.

Agentforce-Specialist시험덤프문제: https://www.pass4test.net/Agentforce-Specialist.html

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