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Agentforce-Specialist Dumps Questions - Sample Agentforce-Specialist Questions

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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.
Topic 5	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.

Salesforce Certified Agentforce Specialist Sample Questions (Q177-Q182):

NEW QUESTION # 177
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

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

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 # 178
What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

A. Empty data, such as fields without values or sections without limits, is filtered out.
B. Activities such as tasks and events are excluded.
C. Email addresses associated with the object are excluded.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:Record Snapshots grounding in Agentforce prompt templates allows the AI to access and use data from a specific Salesforce record (e.g., fields and related records) to generate contextually relevant responses. However, there are specific limitations to consider. Let's analyze each option based on official documentation.
* Option A: Activities such as tasks and events are excluded.According to Salesforce Agentforce documentation, when grounding a prompt template with Record Snapshots, the data included is limited to the record's fields and certain related objects accessible via Data Cloud or direct Salesforce relationships. Activities (tasks and events) are not included in the snapshot because they are stored in a separate Activity object hierarchy and are not directly part of the primary record's data structure. This is a key consideration for an Agentforce Specialist, as it means the AI won't have visibility into task or event details unless explicitly provided through other grounding methods (e.g., custom queries). This limitation is accurate and critical to understand.
* Option B: Empty data, such as fields without values or sections without limits, is filtered out.
Record Snapshots include all accessible fields on the record, regardless of whether they contain values.
Salesforce documentation does not indicate that empty fields are automatically filtered out when grounding a prompt template. The Atlas Reasoning Engine processes the full snapshot, and empty fields are simply treated as having no data rather than being excluded. The phrase "sections without limits" is unclear but likely a typo or misinterpretation; it doesn't align with any known Agentforce behavior.
This option is incorrect.
* Option C: Email addresses associated with the object are excluded.There's no specific exclusion of email addresses in Record Snapshots grounding. If an email field (e.g., Contact.Email or a custom email field) is part of the record and accessible to the running user, it is included in the snapshot. Salesforce documentation does not list email addresses as a restricted data type in this context, making this option incorrect.
Why Option A is Correct:The exclusion of activities (tasks and events) is a documented limitation of Record Snapshots grounding in Agentforce. This ensures specialists design prompts with awareness that activity- related context must be sourced differently (e.g., via Data Cloud or custom logic) if needed. Options B and C do not reflect actual Agentforce behavior per official sources.
References:
* Salesforce Agentforce Documentation: Prompt Templates > Grounding with Record Snapshots- Notes that activities are not included in snapshots.
* Trailhead: Ground Your Agentforce Prompts- Clarifies scope of Record Snapshots data inclusion.
* Salesforce Help: Agentforce Limitations- Details exclusions like activities in grounding mechanisms.

NEW QUESTION # 179
Based on the user utterance, 'Show me all the customers in New York', which standard Agent action will the planner service use?

A. Select Records
B. Fetch Records
C. Query Records

Answer: C

Explanation:
Why is Query Records the Correct Answer?
In Agentforce, the Planner Service is responsible for interpreting user requests and selecting the appropriate Copilot Action to fulfill them. When a user issues a command like:"Show me all the customers in New York", the system must retrieve a list of customers filtered by location.
The Query Records action is designed precisely for this purpose.
Key Features of Query Records in Agentforce:
* Retrieves Data Based on Specific Field Values
* This action fetches Salesforce records that match a set of criteria, such as customers located in New York.
* Uses standard or custom object fields (e.g., BillingState = 'New York').
* Works with Large Language Models (LLMs) and Copilot Actions
* When a user asks for filtered data, Query Records is the default action assigned by the Planner Service.
* Optimized for Structured Data Retrieval
* Ensures AI retrieves relevant CRM records quickly and accurately.
Why Not the Other Options?
# B. Fetch Records
* This is not a standard term in Einstein Copilot or Agentforce.
* No defined Agentforce action exists under this name.
# C. Select Records
* Select Records is used to pick records from an already presented list, not to retrieve them initially.
* If the user had already retrieved records and wanted to refine their selection, Select Records might be appropriate.
* However, since the user's request is to retrieve records, Query Records is the correct action.
Agentforce Specialist References
This information is confirmed from the Salesforce AI Specialist Material and Questions Document, where the Query Records action is explicitly defined as the appropriate standard action for retrieving filtered CRM records.

NEW QUESTION # 180
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.
Which solution approach should the admin leverage?

A. Create a t field Generation prompt template type
B. Use sales Email standard templates
C. Create a Sales Email prompt template type.

Answer: C

Explanation:
To generate personalized emails using LLMs while reusing templates:
* Sales Email Prompt Template Type (Option C): Designed specifically for generating dynamic email content by combining LLMs with structured templates. It allows admins to define placeholders (e.g., customer name, product details) and reuse templates across scenarios.
* Option A: Standard email templates lack LLM integration and dynamic personalization.
* Option B: "t field Generation" is not a valid Salesforce prompt template type.
References:
* Salesforce Help: Sales Email Prompt Templates
* Describes using Sales Email prompt templates to "generate targeted emails using dynamic data and LLMs."

NEW QUESTION # 181
An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order.
Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?

A. Specify the profiles or custom permissions allowed to invoke the action.
B. Specify the LLM model provider and version to be used to invoke the action.
C. Specify the dependent actions with the reference to the action API name.

Answer: C

Explanation:
When a custom Agent action is not being prioritized correctly by the planner service, the root cause is often missing or improperly defined action dependencies. The planner service determines the execution order of actions based on dependencies defined in the action instructions. To resolve this, theAgentforce Specialistmust explicitly specify dependent actions using their API names in the custom action's configuration. This ensures the planner understands the sequence in which actions must be executed to meet business logic requirements.
Salesforce documentation highlights that dependencies are critical for orchestrating workflows in Einstein Bots and Agentforce. For example, if Action B requires data from Action A, Action A's API name must be listed as a dependency in Action B's instructions. The Einstein Bot Developer Guide states that failing to define dependencies can lead to race conditions or incorrect execution order.
In contrast:
* Profiles or custom permissions (B) control access to the action but do not influence execution order.
* LLM model provider and version (C) determine the AI model used for processing but are unrelated to the planner's sequencing logic.

NEW QUESTION # 182
......

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Dump Salesforce Agentforce-Specialist File | Agentforce-Specialist Dumps Questions

Agentforce-Specialist Dumps Questions - Sample Agentforce-Specialist Questions

Salesforce Agentforce-Specialist Exam Syllabus Topics:

Salesforce Certified Agentforce Specialist Sample Questions (Q177-Q182):

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