2025 LATEST AGENTFORCE-SPECIALIST LEARNING MATERIALS | PROFESSIONAL 100% FREE NEW SALESFORCE CERTIFIED AGENTFORCE SPECIALIST TEST FORMAT

2025 Latest Agentforce-Specialist Learning Materials | Professional 100% Free New Salesforce Certified Agentforce Specialist Test Format

2025 Latest Agentforce-Specialist Learning Materials | Professional 100% Free New Salesforce Certified Agentforce Specialist Test Format

Blog Article

Tags: Latest Agentforce-Specialist Learning Materials, New Agentforce-Specialist Test Format, Reliable Agentforce-Specialist Dumps Pdf, Agentforce-Specialist Authorized Pdf, Agentforce-Specialist Pdf Format

The accuracy rate of Agentforce-Specialist test training materials of DumpsTorrent is high with wide coverage. It will be the most suitable Agentforce-Specialist test training materials and the one you need most to pass Agentforce-Specialist exam. We promise that we will provide renewal service freely as long as one year after you purchase our Agentforce-Specialist Dumps; if you fail Agentforce-Specialist test or there are any quality problem of our Agentforce-Specialist exam dumps and training materials, we will give a full refund immediately.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 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 5
  • 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.

>> Latest Agentforce-Specialist Learning Materials <<

Pass Guaranteed Quiz Pass-Sure Salesforce - Latest Agentforce-Specialist Learning Materials

In the era of rapid changes in the knowledge economy, do you worry that you will be left behind? Let's start by passing the Agentforce-Specialist exam. Getting a Agentforce-Specialist certificate is something that many people dream about and it will also bring you extra knowledge and economic benefits. The Agentforce-Specialist latest question we provide all candidates that that is compiled by experts who have good knowledge of exam, and they are very experience in compile study materials. Not only that, our team checks the update every day, in order to keep the latest information of Agentforce-Specialist Exam Question.

Salesforce Certified Agentforce Specialist Sample Questions (Q52-Q57):

NEW QUESTION # 52
What is a SalesforceAgentforce Specialistable to configure in Data Masking within the Einstein Trust Layer?

  • A. The encryption keys for masking
  • B. The profiles exempt from masking
  • C. The privacy data entities to be masked

Answer: C

Explanation:
In the Einstein Trust Layer, the SalesforceAgentforce Specialistcan configure privacy data entities to be masked (Option C). This ensures sensitive or personally identifiable information (PII) is obfuscated when processed by AI models.
* Data Masking Configuration:
* TheAgentforce Specialistdefines which fields or data types (e.g., email, phone number, Social Security Number) should be masked. For example, masking the Email field in a prompt response to protect user privacy.
* This is done through declarative settings in Salesforce, where entities (standard or custom fields) are flagged for masking.
* Why Other Options Are Incorrect:
* A. Profiles exempt from masking: Exemptions are typically managed via permissions (e.g., field-level security), not directly within Einstein Trust Layer's Data Masking settings.
* B. Encryption keys for masking: Encryption is separate from masking. Masking involves obfuscation (e.g., replacing "[email protected]" with "@"), not encryption, which uses keys to secure data.
References:
* Einstein Trust Layer Documentation: States that Data Masking allows admins to "define which fields should be masked to protect sensitive data."
* Trailhead Module: "Einstein Trust Layer Basics" explains configuring privacy entities for masking.
* Salesforce Help Article: "Secure AI with Einstein Trust Layer" details masking configurations for privacy compliance.


NEW QUESTION # 53
Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides.
What should theAgentforce Specialistdo to meet this requirement?

  • A. Create a prompt template for product tutorials and guides.
  • B. Add an Answer Questions custom field in the product object for tutorial instructions.
  • C. Publish product tutorials and guides as Knowledge articles.

Answer: C

Explanation:
* Context of the QuestionUniversal Containers (UC) wants its support agents to use Agentforce to ask questions about product tutorials and product guides. Agentforce typically references knowledge sources to provide accurate and contextual responses.
* Why Knowledge Articles?
* Centralized Repository: Publishing product tutorials and guides as Knowledge articles in Salesforce ensures that the information is readily available and searchable by Agentforce.
* AI Integration: Salesforce's AI solutions, including Agentforce, can often be configured to pull content directly from Salesforce Knowledge articles, giving users on-demand answers without manual data duplication.
* Maintenance & Updates: Storing content in Salesforce Knowledge simplifies content updates, versioning, and user permissions.
* Why Not the Other Options?
* Option A (Create a Prompt Template): Creating a prompt template alone does not solve how the underlying content (tutorials, guides) is stored or accessed by Agentforce. Prompt templates shape the queries/responses but do not provide the knowledge base.
* Option B (Add an Answer Questions Custom Field): A single field on the product object is insufficient for the depth of information found in tutorials and guides. It also lacks the robust search and user-friendly interface that Knowledge articles provide.
* ConclusionTo ensure Agentforce can effectively retrieve and deliver accurate information about products,publishing product tutorials and guides as Knowledge articlesis the recommended approach.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Documentation:Set Up Salesforce KnowledgeDiscusses how to publish articles for easy access
* by AI-driven assistants and support teams.
* SalesforceAgentforce SpecialistStudy GuideExplains best practices for feeding knowledge sources to generative AI and Agentforce.


NEW QUESTION # 54
A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities.
How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?

  • A. The LLM interprets the user's request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities
  • B. The LLM uses a static set of rules to match the user's request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.
  • C. Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.

Answer: A

Explanation:
Agentforce's LLM dynamically interprets natural language requests (e.g., "Show me open opportunities"), generates an execution plan using the planner service, and retrieves data via actions (e.g., querying Salesforce records). This contrasts with static rules (B) or rigid dialog patterns (C), which lack contextual adaptability. Salesforce documentation highlights the planner's role in converting intents into actionable steps while adhering to security and business logic.


NEW QUESTION # 55
Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history.
Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'

  • A. Write a response scrip for the chatbot.
  • B. Design universal product recommendations.
  • C. Collect and analyze browsing data.

Answer: C

Explanation:
To enable personalized product recommendations using generative AI, the foundational step for Universal Containers (UC) is collecting and analyzing browsing data (Option C). Personalized recommendations depend on understanding user behavior, which requires structured data about their browsing history. Without this data, the AI model lacks the context needed to generate relevant suggestions.
* Data Collection: UC must first aggregate browsing data (e.g., pages visited, products viewed, session duration) to build a dataset that reflects user preferences.
* Data Analysis: Analyzing this data identifies patterns (e.g., frequently viewed categories) that inform how prompts should be structured to retrieve relevant recommendations.
* Grounding in Data: Salesforce's Prompt Templates rely on grounding data to generate accurate outputs. Without analyzing browsing data, the prompt template cannot reference meaningful insights for personalization.
Options A and D are incorrect because:
* Universal recommendations (A) ignore personalization, which is the core requirement.
* Writing a response script (D) addresses chatbot interaction design, not the accuracy of recommendations.
References:
* SalesforceAgentforce SpecialistCertification Guide: Highlights the importance of grounding prompts in relevant data sources to ensure accuracy.
* Trailhead Module: "Einstein for Developers" emphasizes data preparation as a prerequisite for effective AI-driven personalization.
* Salesforce Help Documentation: Recommends analyzing user behavior data to tailor generative AI outputs in commerce use cases.


NEW QUESTION # 56
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an Agentforce Specialist apply the power of conversational AI to this use case?

  • A. Create a custom Agent action which calls a flow.
  • B. Create a Flex prompt template in Prompt Builder.
  • C. Configure the Integration Flow Standard Action in Agent Builder.

Answer: A

Explanation:
Why is "Create a custom Agent action which calls a flow" the correct answer?
In Agentforce, the best way to allow service agents to query order fulfillment status from an external system (Oracle ERP) using natural language is to create a custom Agent action that invokes an existing autolaunched flow.
Key Considerations for This Approach:
* Custom Agent Action Triggers the Flow
* A custom Agent action is designed to call Salesforce flows, enabling external system integration.
* The flow retrieves real-time fulfillment data from Oracle ERP and returns results to the agent.
* Enables AI-Powered Query Execution
* The Agent can understand natural language and map user utterances to the correct Agent action.
* This ensures that agents receive accurate order fulfillment updates quickly.
* No Need for Manual Data Entry
* Instead of manually searching Oracle ERP, agents can query fulfillment status using AI-powered Agentforce workflows.
Why Not the Other Options?
# B. Configure the Integration Flow Standard Action in Agent Builder
* Incorrect because Integration Flow Standard Actions are for predefined use cases, not custom ERP integrations.
* They do not provide the flexibility needed to connect with Oracle ERP dynamically.
# C. Create a Flex Prompt Template in Prompt Builder
* Incorrect because Flex prompts are used for structuring AI-generated responses, not executing queries on external systems.
* This approach does not enable the AI to retrieve live fulfillment status from Oracle ERP.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that custom Agent actions allow integration with external systems through Salesforce flows.
* Salesforce Instructions for Certification mention that Agentforce supports custom Agent actions for external data retrieval.


NEW QUESTION # 57
......

You will never be afraid of the Agentforce-Specialist exam, we believe that our Agentforce-Specialist preparation materials will help you change your present life. It is possible for you to start your new and meaningful life in the near future, if you can pass the Agentforce-Specialist exam and get the certification. So it is very important for you to prepare for the Agentforce-Specialist Practice Exam, you must pay more attention to the Agentforce-Specialist certification guide to help you. And our Agentforce-Specialist exam questions can give you all the help to obtain the certification.

New Agentforce-Specialist Test Format: https://www.dumpstorrent.com/Agentforce-Specialist-exam-dumps-torrent.html

Report this page