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Dumps Agentforce-Specialist Cost & Salesforce Agentforce-Specialist Certification Book Torrent: Salesforce Certified Agentforce Specialist Pass Certainly

Dumps Agentforce-Specialist Cost & Salesforce Agentforce-Specialist Certification Book Torrent: Salesforce Certified Agentforce Specialist Pass Certainly

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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.
Topic 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.
Topic 4
  • 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.
Topic 5
  • 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q145-Q150):

NEW QUESTION # 145
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

  • A. View the user click path that led to each copilot action.
  • B. View session data including user Input and copilot responses for sessions over the past 7 days.
  • C. Generate details reports on all Copilot conversations over any time period.

Answer: B

Explanation:
When the"Enrich event logs with conversation data"setting is enabled inEinstein Copilot, 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, helpingAgentforce 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.
SalesforceAgentforce SpecialistReferences:You can refer to this documentation for further insights:
https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm


NEW QUESTION # 146
Universal Containers (UC) implements a custom retriever to improve the accuracy of AI-generated responses.
UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?

  • A. Define filters to narrow the search results based on specific conditions.
  • B. Change the search index to a different data model object (DMO).
  • C. Increase the maximum number of results returned to capture a broader dataset.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, acustom retrieveris used to fetch relevant data (e.g., from Data Cloud's vector database or Salesforce records) to ground AI responses.
UC's issue is that their retriever returns too many irrelevant results, reducing response accuracy. The best solution is todefine filters(Option A) to refine the retriever's search criteria. Filters allow UC to specify conditions (e.g., "only retrieve documents from the 'Policy' category" or "records created after a certain date") that narrow the dataset, ensuring the retriever returns only relevant results. This directly improves the precision of AI-generated responses by excluding extraneous data, addressing UC's problem effectively.
* Option B: Changing the search index to a different data model object (DMO) might be relevant if the retriever is querying the wrong object entirely (e.g., Accounts instead of Policies). However, the question implies the retriever is functional but unrefined, so adjusting the existing setup with filters is more appropriate than switching DMOs.
* Option C: Increasing the maximum number of results would worsen the issue by returning even more data, including more irrelevant entries, contrary to UC's goal of improving relevance.
* Option A: Filters are a standard feature in custom retrievers, allowing precise control over retrieved data, making this the correct action.
Option A is the most effective step to ensure relevance in retrieved data.
References:
* Salesforce Agentforce Documentation: "Create Custom Retrievers" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_custom_retrievers.htm&type=5)
* Salesforce Data Cloud Documentation: "Filter Data for AI Retrieval" (https://help.salesforce.com/s
/articleView?id=sf.data_cloud_retrieval_filters.htm&type=5)


NEW QUESTION # 147
Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team.
What should theAgentforce Specialistbe aware of before enabling this feature?

  • A. Call Explorer operates independently of Salesforce Knowledge, requiring no prior setup.
  • B. Custom Call Explorer actions need to be built before it can be configured.
  • C. Call Explorer requires the Einstein Conversation Insights permission set to be enabled.

Answer: C

Explanation:
Before enabling Call Explorer, the SalesforceAgentforce Specialistmust ensure that the Einstein Conversation Insights permission set is assigned to users (Option C). Call Explorer is a feature within Einstein Conversation Insights (ECI) that analyzes meeting recordings to surface trends, keywords, and actionable insights.
Key Considerations:
* Permission Set Requirement:
* Users (including admins) need the Einstein Conversation Insights permission set to access and use Call Explorer.Without this, the feature remains inaccessible.
* The permission set grants access to ECI tools, including call transcription, analysis, and dashboard visibility.
* Why Other Options Are Incorrect:
* A. Independence from Salesforce Knowledge: While Call Explorer does not rely on Salesforce Knowledge, this is irrelevant to the setup prerequisite. The critical dependency is the permission set, not Knowledge configuration.
* B. Custom Actions: Call Explorer does not require custom actions to be built before configuration. It is a pre-built analytics tool that works once permissions and data sources (e.g., call recordings) are configured.
References:
* Salesforce Einstein Conversation Insights Guide: Explicitly states that the Einstein Conversation Insights permission set is required to access Call Explorer.
* Trailhead Module: "Einstein Conversation Insights Basics" outlines permission prerequisites for enabling call analytics.
* Salesforce Help Documentation: Confirms that Call Explorer functionality is governed by ECI permissions.


NEW QUESTION # 148
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?

  • A. A data stream, a search index, and a retriever
  • B. A data connector, an analytics dashboard, and a workflow rule
  • C. A data pipeline, an indexing engine, and a query processor

Answer: A

Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
* Data Stream
* This acts as the pipeline that brings data into Data Cloud.
* It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
* Search Index
* After ingestion, data is indexed for efficient search and retrieval.
* This allows AI models to perform structured queries and retrieve relevant data faster.
* Retriever
* The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
* It ensures that AI-generated responses are grounded in structured, reliable data.
Why Not the Other Options?
# A. A data pipeline, an indexing engine, and a query processor
* Incorrect because Data Cloud does not use a query processor in the same way as traditional databases.
* Instead, retrievers handle AI-powered data searches.
# B. A data connector, an analytics dashboard, and a workflow rule
* Incorrect because these components are not automatically created when setting up a Data Library.
* Analytics dashboards and workflow rules are separate tools used for reporting and automation.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that a Data Stream, Search Index, and Retriever are created automatically in Data Cloud when configuring a Data Library.


NEW QUESTION # 149
An Agentforce Service Agent, who has been successfully assisting customers with service requests in Salesforce, is now unable to help customers with issues related to a new product replacement process. The company recently implemented a custom Product Replacement object in Salesforce to track and manage these replacements. Which Agentforce Agent User change must be implemented to address this issue?

  • A. The permission set assigned to the Agent User needs Read access to the custom Product Replacement object.
  • B. The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.
  • C. The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow.

Answer: A

Explanation:
Why is "Permission Set Read Access" the correct answer?
If an Agentforce Service Agent is unable to assist customers with the new Product Replacement process, it is likely due to missing object permissions.
Key Considerations for Object Access in Agentforce:
* Custom Objects Require Permission Set Access
* The new Product Replacement object must be explicitly assigned to the agent's permission set.
* Without Read access, the agent cannot view or interact with the object.
* Ensuring Full Data Access for Agents
* In Setup # Permission Sets, the admin should:# Grant Read access to the Product Replacement object# Ensure that related fields (e.g., status, replacement reason) are also accessible
* Aligning AI and Agent Workflows
* If Einstein AI is used to suggest solutions, the agent must have visibility into the Product Replacement object for context-aware responses.
Why Not the Other Options?
# A. The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow.
* Incorrect because flow permissions only control automation access, not direct object access.
* If an agent cannot view the object, the flow will not be visible or usable.
# C. The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.
* Incorrect because AI training permissions relate to model learning and improvement, not object visibility.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that permission sets control object-level access for Agentforce users.


NEW QUESTION # 150
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