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Agentforce-Specialist Dumps Collection, Agentforce-Specialist Visual Cert Exam

If passing the Agentforce-Specialist certification exam in a short time is a goal of yours, we're here to help you get there on your first attempt by providing you with Agentforce-Specialist real exam dumps you need to succeed. We have three formats of Agentforce-Specialist updated questions. This is done so that every Salesforce Agentforce-Specialist exam applicant may find useful Agentforce-Specialist study material here, regardless of how they want to learn.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic
Details

Topic 1

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 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 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

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 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-Specialist Dumps Collection <<

Agentforce-Specialist Visual Cert Exam - Agentforce-Specialist Sample Test Online

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Salesforce Certified Agentforce Specialist Sample Questions (Q54-Q59):

NEW QUESTION # 54
Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations.
UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding.
Which objects should UC select to configure Service AI Grounding?

A. Case, Knowledge, and Case Notes
B. Case, Case Emails, and Knowledge
C. Case and Knowledge

Answer: C

Explanation:
Universal Containers (UC) is implementing Service AI Grounding to enhance its customer service operations.
They aim to ensure that AI-generated responses are grounded in the most relevant data sources and need to configure the system to include all supported objects for grounding.
Supported Objects for Service AI Grounding:
* Case
* Knowledge
* Case Object:
* Role in Grounding:Provides contextual data about customer inquiries, including case details, status, and history.
* Benefit:Grounding AI responses in case data ensures that the information provided is relevant to the specific customer issue being addressed.
* Knowledge Object:
* Role in Grounding:Contains articles and documentation that offer solutions and information related to common issues.
* Benefit:Utilizing Knowledge articles helps the AI provide accurate and helpful responses based on verified information.
* Exclusion of Other Objects:
* Case Notes and Case Emails:
* Not Supported for Grounding:While useful for internal reference, these objects are not included in the supported objects for Service AI Grounding.
* Reason:They may contain sensitive or unstructured data that is not suitable for AI grounding purposes.
Why Options A and C are Incorrect:
* Option A (Case, Knowledge, and Case Notes):
* Case Notes Not Supported:Case Notes are not among the supported objects for grounding in Service AI.
* Option C (Case, Case Emails, and Knowledge):
* Case Emails Not Supported:Case Emails are also not included in the list of supported objects for grounding.
References:
* SalesforceAgentforce SpecialistDocumentation -Service AI Grounding Configuration:Details the objects supported for grounding AI responses in Service Cloud.
* Salesforce Help -Implementing Service AI Grounding:Provides guidance on setting up grounding with Case and Knowledge objects.
* Salesforce Trailhead -Enhance Service with AI Grounding:Offers an interactive learning path on using AI grounding in service scenarios.

NEW QUESTION # 55
Universal Containers aims to streamline the sales team's daily tasks by using AI.
When considering these new workflows, which improvement requires the use of Prompt Builder?

A. Populate an Al-generated time-to close estimation to opportunities
B. Populate an AI generated summary field for sales contracts.
C. Populate an Al generated lead score for new leads.

Answer: B

Explanation:
Prompt Builder is explicitly required to create AI-generated summary fields via prompt templates. These fields use natural language instructions to extract or synthesize information (e.g., summarizing contract terms). Time-to-close estimations (A) and lead scores (C) are typically handled by predictive AI (e.g., Einstein Opportunity Scoring) or analytics tools, which do not require Prompt Builder.

NEW QUESTION # 56
Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent. Which Service Channel should the company use in the flow to ensure it's routed properly?

A. Route Work Action
B. Live Agent
C. Messaging

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC wants to route SMS text messages from an Agentforce Service Agent to a service rep using a flow. Let's identify the correct Service Channel.
* Option A: MessagingIn Salesforce, the "Messaging" Service Channel (part of Messaging for In-App and Web or SMS) handles text-based interactions, including SMS. When integrated with Omni-Channel Flow, the "Route Work" action uses this channel to route SMS messages to agents. This aligns with UC' s requirement for SMS routing, making it the correct answer.
* Option B: Route Work Action"Route Work" is an action in Omni-Channel Flow, not a Service Channel. It uses a channel (e.g., Messaging) to route work, so this is a component, not the channel itself, making it incorrect.
* Option C: Live Agent"Live Agent" refers to an older chat feature, not the current Messaging framework for SMS. It's outdated and unrelated to SMS routing, making it incorrect.
* Option D: SMS ChannelThere's no standalone "SMS Channel" in Salesforce Service Channels-SMS is encompassed within the "Messaging" channel. This is a misnomer, making it incorrect.
Why Option A is Correct:The "Messaging" Service Channel supports SMS routing in Omni-Channel Flow, ensuring proper handoff from the Agentforce Service Agent to a rep, per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Omni-Channel Integration > Messaging- Details SMS in Messaging channel.
* Trailhead: Omni-Channel Flow Basics- Confirms Messaging for SMS.
* Salesforce Help: Service Channels- Lists Messaging for text-based routing.

NEW QUESTION # 57
Which use case is best supported by Salesforce Agent's capabilities?

A. Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
B. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
C. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities

Answer: A

Explanation:
Salesforce Agent is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI-powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
* Option A is correct because Agent brings a conversational interface that caters to a wide range of users.
* Option B and Option C are more focused on developing and training AI models, which are not the primary functions of Agent.
References:
* Salesforce Agent Overview: https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.
htm

NEW QUESTION # 58
An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account.
Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?

A. Use formula fields to reference the Einstein related list of opportunities.
B. Use the merge fields to reference a custom related list of opportunities.
C. Use merge fields to reference the default related list of opportunities.

Answer: C

Explanation:
In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by usingmerge fields.
Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, theAgentforce Specialistneeds to pull data from the default related list of Opportunitiesassociated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.
Option A (referencing a custom related list) and Option C (using formula fields with Einstein-related lists) do not align with the standard, practical grounding method for this task. Custom lists would require additional configurations not typically necessary for a basic use case, and formula fields are typically not used to directly fetch related list data for prompt generation in templates.The standard and straightforward method is using merge fields tied to the default related list of opportunities.
Salesforce References:
* Merge Fields in Templates:https://help.salesforce.com/s/articleView?id=000387601&type=1
* Grounding Data in Prompts:https://developer.salesforce.com/docs/atlas.en-us.salesforce_ai.meta
/salesforce_ai/grounding_data_prompts

NEW QUESTION # 59
......

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