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Practice Agentforce-Specialist Questions | 100% Free Latest Exam Salesforce Certified Agentforce Specialist Quick Prep

Passing the Salesforce Certified Agentforce Specialist (Agentforce-Specialist) certification is crucial for those who want to excel in the Salesforce industry. However, one of the biggest challenges that individuals face after deciding to take the Salesforce Certified Agentforce Specialist (Agentforce-Specialist) exam is finding authentic Agentforce-Specialist questions for efficient preparation. Those who do not study with real Salesforce Certified Agentforce Specialist (Agentforce-Specialist) dumps often fail the test and waste their valuable resources.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic
Details

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

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 3

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 4

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 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.

Salesforce Certified Agentforce Specialist Sample Questions (Q35-Q40):

NEW QUESTION # 35
An Agentforce is creating a custom action for Agentforce.
Which setting should theAgentforce Specialisttest and iterate on to ensure the action performs as expected?

A. Action Name
B. Action Input
C. Action Instructions

Answer: C

Explanation:
When creating a custom action for Einstein Bots in Salesforce (including Agentforce), ActionInstructions are critical for defining how the bot processes and executes the action. These instructions guide the bot on the logic to follow, such as API calls, data transformations, or conditional steps. Testing and iterating on the instructions ensures the bot understands how to handle dynamic inputs, external integrations, and decision- making.
Salesforce documentation emphasizes that Action Instructions directly impact the bot's ability to execute workflows accurately. For example, poorly defined instructions may lead to incorrect API payloads or failure to parse responses. The Einstein Bot Developer Guide highlights that refining instructions is essential for aligning the bot's behavior with business requirements.
In contrast:
* Action Name (A) is a static identifier and does not affect functionality.
* Action Input (B) defines parameters passed to the action but does not dictate execution logic.
Thus, iterating on Action Instructions (C) ensures the action performs as expected.

NEW QUESTION # 36
A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. Which permission sets should an Agentforce Specialist assign to the data scientist?

A. Data Cloud Admin and Prompt Template Manager
B. Prompt Template User and Data Cloud Admin
C. Prompt Template Manager and Prompt Template User

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:The data scientist requires permissions for Einstein Studio (model management) and Prompt Builder (template creation). Note: "Einstein Studio" may be a misnomer for Data Cloud's model management or a related tool, but we'll interpret based on context. Let's evaluate.
* Option A: Prompt Template Manager and Prompt Template UserThere's no distinct "Prompt Template Manager" or "Prompt Template User" permission set in Salesforce-Prompt Builder access is typically via "Einstein Generative AI User" or similar. This option lacks coverage for Einstein Studio
/Data Cloud, making it incorrect.
* Option B: Data Cloud Admin and Prompt Template ManagerThe "Data Cloud Admin" permission set grants access to manage models in Data Cloud (assumed as Einstein Studio's context), including viewing and editing AI models. "Prompt Template Manager" isn't a real set, but Prompt Builder creation is covered by "Einstein Generative AI Admin" or similar admin-level access (assumed intent).
This combination approximates the needs, making it the closest correct answer despite naming ambiguity.
* Option C: Prompt Template User and Data Cloud Admin"Prompt Template User" isn't a standard set, and user-level access (e.g., Einstein Generative AI User) typically allows execution, not creation.
The data scientist needs to create templates, so this lacks sufficient Prompt Builder rights, making it incorrect.
Why Option B is Correct (with Caveat):"Data Cloud Admin" covers model management in Data Cloud (likely intended as Einstein Studio), and "Prompt Template Manager" is interpreted as admin-level Prompt Builder access (e.g., Einstein Generative AI Admin). Despite naming inconsistencies, this fits the requirements per Salesforce permissions structure.
References:
* Salesforce Data Cloud Documentation: Permissions- Details Data Cloud Admin for models.
* Trailhead: Set Up Einstein Generative AI- Covers Prompt Builder admin access.
* Salesforce Help: Agentforce Permission Sets- Aligns with admin-level needs.

NEW QUESTION # 37
A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Einstein Copilot capability helps the agent accomplish this?

A. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
B. Invoke a flow which makes a call to external data to create a Knowledge article.
C. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

Answer: C

Explanation:
In this scenario, theEinstein Copilotcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Einstein Copilot can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
* Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
* Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
References:
* Salesforce Documentation onEinstein Copilot
* Trailhead Module onEinstein for Service

NEW QUESTION # 38
Universal Containers plans to enhance its sales team's productivity using AI. Which specific requirement necessitates the use of Prompt Builder?

A. Creating a draft newsletter for an upcoming tradeshow.
B. Predicting the likelihood of customers churning or discontinuing their relationship with the company.
C. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data.

Answer: A

NEW QUESTION # 39
Universal Containers (UC) wants to use Generative AI Salesforce functionality to reduce Service Agent handling time by providing recommended replies based on the existing Knowledge articles. On which AI capability should UC train the service agents?

A. Case Replies
B. Service Replies
C. Knowledge Replies

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Salesforce Agentforce leverages generative AI to enhance service agent efficiency, particularly through capabilities that generate recommended replies. In this scenario, Universal Containers aims to reduce handling time by providing replies based on existingKnowledge articles, which are a core component of Salesforce Knowledge. TheKnowledge Repliescapability is specifically designed for this purpose-it uses generative AI to analyze Knowledge articles, match them to the context of a customer inquiry (e.g., a case or chat), and suggest relevant, pre-formulated responses for service agents to use or adapt. This aligns directly with UC's goal of leveraging existing content to streamline agent workflows.
* Option A (Service Replies): While "Service Replies" might sound plausible, it is not a specific, documented capability in Agentforce. It appears to be a generic distractor and does not tie directly to Knowledge articles.
* Option B (Case Replies): "Case Replies" is not a recognized AI capability in Agentforce either. While replies can be generated for cases, the focus here is on Knowledge article integration, which points to Knowledge Replies.
* Option C (Knowledge Replies): This is the correct capability, as it explicitly connects generative AI with Knowledge articles to produce recommended replies, reducing agent effort and handling time.
Training service agents on Knowledge Replies ensures they can effectively use AI-suggested responses, review them for accuracy, and integrate them into their workflows, fulfilling UC's objective.
References:
* Salesforce Agentforce Documentation: "Knowledge Replies for Service Agents" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.agentforce_knowledge_replies.htm&type=5)
* Trailhead: "Agentforce for Service" module (https://trailhead.salesforce.com/content/learn/modules
/agentforce-for-service)

NEW QUESTION # 40
......

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