SALESFORCE AGENTFORCE-SPECIALIST QUESTIONS - FOR BEST RESULT [2025]

Salesforce Agentforce-Specialist Questions - For Best Result [2025]

Salesforce Agentforce-Specialist Questions - For Best Result [2025]

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Tags: Agentforce-Specialist Reliable Dumps Questions, Agentforce-Specialist Exam Online, Agentforce-Specialist Valid Exam Experience, Reliable Agentforce-Specialist Braindumps Ppt, Agentforce-Specialist Practice Engine

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
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
  • 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 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 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 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q182-Q187):

NEW QUESTION # 182
Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions.
Why should UC consider using Agentforce Sales Agent?

  • A. To automate the entire sales process for maximum efficiency
  • B. To streamline the sales process and increase conversion rates
  • C. To track customer interactions for future analysis

Answer: B

Explanation:
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales processand help sales representatives focus on key tasks toincrease conversion rates. It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
* Option A: While tracking customer interactions is beneficial, it is only part of the broader capabilities offered by Agentforce Sales Agent and is not the primary objective for improving real-time productivity.
* Option B: Agentforce Sales Agent does not automate the entire sales process but provides actionable recommendations to assist the sales team.
* Option C: This aligns with the tool's core purpose of enhancing productivity and driving sales success.


NEW QUESTION # 183
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. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
  • B. Invoke a flow which makes a call to external data to create a Knowledge article.
  • C. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.

Answer: A

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 # 184
An Agentforce implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. TheAgentforce Specialistneeds to configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should theAgentforce Specialistuse?

  • A. Automatic grounding using Draft with Einstein feature
  • B. Ground with Record Merge Fields
  • C. Ground with Apex Merge Fields

Answer: A

Explanation:
ForEinstein Sales Emailsto generate personalized follow-up emails, it is crucial to ground the email content with the most up-to-date and accurate information. Grounding refers to connecting the AI model with real- time data. The most appropriate technique in this case isGround with Record Merge Fields. This method ensures that the content in the emails pulls dynamic and accurate data directly from Salesforce records, such as lead or contact information, ensuring the follow-up is relevant and customized based on the specific record.
* Record Merge Fieldsensure the generated emails are highly personalized using data like lead name, company, or other Salesforce fields directly from the records.
* Apex Merge Fieldsare typically more suited for advanced, custom logic-driven scenarios but are not the most straightforward for this use case.
* Automatic grounding using Draft with Einsteinis a different feature where Einstein automatically drafts the email, but it does not specifically ground the content with record-specific data likeRecord Merge Fields.
References:
* Salesforce Einstein Sales Emails Documentation:https://help.salesforce.com/s/articleView?id=release- notes.rn_einstein_sales_emails.htm


NEW QUESTION # 185
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. Collect and analyze browsing data.
  • B. Write a response scrip for the chatbot.
  • C. Design universal product recommendations.

Answer: A

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 # 186
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?

  • A. Identify potential high-value leads for targeted marketing campaigns.
  • B. Send reply to a request for proposal via a personalized email.
  • C. Forecast future sales trends based on historical data.

Answer: B

Explanation:
* Context of the Question
* Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models.
* The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder.
* Einstein Prompt Builder Typical Use Cases
* Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field.
* Why Not Forecast Future Sales Trends or Identify Potential High-Value Leads?
* (Option A) Forecasting trends typically involves predictive analytics and modeling capabilities found in Einstein Discovery or standard reporting, not generative text solutions.
* (Option B) Identifying leads for marketing campaigns involves lead scoring or analytics, again an Einstein Discovery or Lead Scoring scenario.
* Sending a Personalized RFP Email(Option C) is a classic example of using generative AI to compose well-structured, context-aware text.
* ConclusionOption C(Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder's generative text functionality.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Documentation:Einstein Prompt Builder OverviewHighlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields.
* SalesforceAgentforce SpecialistStudy GuideExplains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).


NEW QUESTION # 187
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Salesforce Agentforce-Specialist certification can guarantee you have good job prospects, because Salesforce certification Agentforce-Specialist exam is a difficult test of IT knowledge, passing Salesforce Certification Agentforce-Specialist Exam proves that your IT expertise a strong and you can be qualified for a good job.

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