RELIABLE SALESFORCE AGENTFORCE-SPECIALIST TEST PRACTICE, PRACTICE AGENTFORCE-SPECIALIST TEST

Reliable Salesforce Agentforce-Specialist Test Practice, Practice Agentforce-Specialist Test

Reliable Salesforce Agentforce-Specialist Test Practice, Practice Agentforce-Specialist Test

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
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 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
  • 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q45-Q50):

NEW QUESTION # 45
Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.
Which use case works for this scenario?

  • A. Predict most popular products from new product catalog.
  • B. Predict customer lifetime value of an account.
  • C. Predict customer sentiment toward a promotion message.

Answer: B

Explanation:
For improvingsales operations efficiency,Einstein Studiois ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predictingcustomer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions.Customer lifetime value (CLV)predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.
* Option Bis the correct choice as predicting customer lifetime value is a well-established use case for AI in sales.
* Option A(customer sentiment) is typically handled through NLP models, whileOption C(product popularity) is more of a marketing analysis use case.
References:
Salesforce Einstein Studio Use Case Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_overview


NEW QUESTION # 46
Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?

  • A. Prompt Defense
  • B. Data Masking
  • C. Dynamic Grounding

Answer: C

Explanation:
Dynamic Grounding in the Einstein Trust Layer architecture ensures that large language model (LLM) prompts are enriched with organization-specific data (e.g., Salesforce records, Knowledge articles) to generate accurate and relevant responses. By dynamically injecting contextual data into prompts, it reduces hallucinations and aligns outputs with trusted business data.
* Prompt Defense (A) focuses on blocking malicious inputs or prompt injections but does not enhance responses with organizational data.
* Data Masking (B) redacts sensitive information but does not contribute to grounding responses in business context.


NEW QUESTION # 47
Universal Containers (UC) wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, "Show me other opportunities like this one." How should UC achieve this with Agents?

  • A. Use the standard Agent action.
  • B. Create a custom Agent action calling an Apex class.
  • C. Create a custom Agent action calling a flow.

Answer: A

Explanation:
Universal Containers can achieve the request to explore similar opportunities by using the standard Copilot action. Agent has built-in actions to handle natural language queries, such as "Show me other opportunities like this one." The standard action will process the query and return results based on predefined matching criteria like opportunity details and past Closed Won deals.
This approach avoids the need to create custom flows or Apex classes, leveraging out-of-the-box functionality.
For further details, refer to Agent for Sales documentation regarding standard actions and natural language processing.


NEW QUESTION # 48
Universal Containers is rolling out a new generative AI initiative.
Which Prompt Builder limitations should theAgentforce Specialistbe aware of?

  • A. Creations or updates to the prompt templates are not recorded in the Setup Audit Trail.
  • B. Rich text area fields are only supported in Flex template types.
  • C. Custom objects are supported only for Flex template types.

Answer: C

Explanation:
ThePrompt Builderin Salesforce has some specific limitations, one of which is thatcustom objectsare supportedonly for Flex template types. This means that users must rely on Flex templates to integrate custom objects into their prompts.
* Option A: While rich text area fields have certain restrictions, this does not pertain to the core limitation of integrating custom objects.
* Option B: Updates and creations for prompt templates are indeed recorded in the Setup Audit Trail, so this statement is incorrect.
* Option C: This is the correct answer as it reflects a documented limitation of the Prompt Builder.


NEW QUESTION # 49
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template.
Which flow element should UC use?

  • A. Add Prompt Instructions
  • B. Add Flow Instructions
  • C. Add Flex Instructions

Answer: B

Explanation:
* Context of the Question
* Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
* "Flex Prompt Templates" allow admins andAgentforce Specialists to incorporate external or dynamic data into generative AI prompts.
* Why "Add Flow Instructions" Is Needed
* Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.
* Other Options:
* Add Flex Instructions: Typically controls how the AI responds or structures the output, not how to bring Flow data into the template.
* Add Prompt Instructions: Usually for static or manual instructions that shape the AI's response, rather than referencing dynamic data from the Flow.
* Outcome
* "Add Flow Instructions" ensures the prompt can dynamically use the data that the Flow returns- makingOption Ccorrect.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Help & Training:Using Prompt Templates with FlowExplains how to pass Flow variables into a prompt template via a specialized step (e.g., "Flow Instructions").
* SalesforceAgentforce SpecialistStudy GuideOutlines how to configure generative AI prompts that reference real-time Flow data.


NEW QUESTION # 50
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