EXAM DUMPS AGENTFORCE-SPECIALIST PROVIDER | VCE AGENTFORCE-SPECIALIST EXAM SIMULATOR

Exam Dumps Agentforce-Specialist Provider | VCE Agentforce-Specialist Exam Simulator

Exam Dumps Agentforce-Specialist Provider | VCE Agentforce-Specialist Exam Simulator

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Tags: Exam Dumps Agentforce-Specialist Provider, VCE Agentforce-Specialist Exam Simulator, Latest Agentforce-Specialist Exam Question, Test Agentforce-Specialist Book, Learning Agentforce-Specialist Mode

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
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 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 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 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 (Q114-Q119):

NEW QUESTION # 114
Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.
Which audit data is available using the Einstein Trust Layer?

  • A. Hallucination score and bias score
  • B. Response accuracy and offensiveness score
  • C. Masked data and toxicity score

Answer: C

Explanation:
Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information aboutmasked data-which ensures sensitive information is not exposed-and thetoxicity score, which evaluates the generated content for inappropriate or harmful language.
References:
* SalesforceAgentforce SpecialistDocumentation - Einstein Trust Layer:Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.


NEW QUESTION # 115
Universal Containers (UC) plans to automatically populate the Description field on the Account object.
Which type of prompt template should UC use?

  • A. Flex Prompt template
  • B. Sales Email prompt template
  • C. Field Generation prompt template

Answer: C

Explanation:
* Context of the QuestionUniversal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
* Field Generation Prompt Template
* Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
* Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.
* Why Not Flex or Sales Email Prompt Templates?
* Flex Prompt Template: Used to combine or manipulate data across objects, merges, or references from multiple sources in more advanced, flexible prompts. Typically not the go-to for straightforward text generation on a single field.
* Sales Email Prompt Template: Focused on drafting or summarizing emails for sales reps (like crafting outreach or follow-up messages). This template is not specifically built to populate a field on a record.
* ConclusionFor automatically populating the Description field with AI-generated content, theField Generation prompt template(Option A) is the correct choice.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Documentation:Prompt Template TypesExplains various template types (Field Generation, Flex, Email, etc.) and their typical use cases.
* SalesforceAgentforce SpecialistStudy GuideHighlights Field Generation prompt templates for populating or updating record fields with AI-generated text.


NEW QUESTION # 116
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should An Agentforce recommend to resolve the issue?

  • A. Configure data masking in the Einstein Trust Layer setup.
  • B. Enable data masking for sandbox refreshes.
  • C. Add new data masking rules in LLM setup.

Answer: A

Explanation:
WhenUniversal Containers' AI data masking rulesdo not meet organizational privacy and security standards, theAgentforce Specialistshould configure thedata maskingrules within theEinstein Trust Layer.
TheEinstein Trust Layerprovides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
* Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
* Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through theEinstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
SalesforceAgentforce SpecialistReferences:For more information, refer to:https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer_data_masking.htm


NEW QUESTION # 117
A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries.
Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy.
Which feature in Einstein for Service should the support team use?

  • A. Einstein Service Replies
  • B. Einstein Knowledge Recommendations
  • C. Einstein Reply Recommendations

Answer: C

Explanation:
The support team should useEinstein Reply Recommendationsto provide quick, relevant responses to customer inquiries that are grounded in the organization's knowledge base. This feature leverages AI to recommend accurate and consistent replies based on historical interactions and the knowledge stored in the system, ensuring that responses are aligned with organizational standards.
* Einstein Service Replies(Option A) is focused on generating replies but doesn't have the same emphasis on grounding responses in the knowledge base.
* Einstein Knowledge Recommendations(Option C) suggests knowledge articles to agents, which is more about assisting the agent in finding relevant articles than providing automated or AI-generated responses to customers.
SalesforceAgentforce SpecialistReferences:For more information on Einstein Reply Recommendations:
https://help.salesforce.com/s/articleView?id=sf.einstein_reply_recommendations_overview.htm


NEW QUESTION # 118
Which use case is best supported by Salesforce Agent's capabilities?

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

Answer: C

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 # 119
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