EXAM SALESFORCE AGENTFORCE-SPECIALIST FLASHCARDS, AGENTFORCE-SPECIALIST BRAINDUMP PDF

Exam Salesforce Agentforce-Specialist Flashcards, Agentforce-Specialist Braindump Pdf

Exam Salesforce Agentforce-Specialist Flashcards, Agentforce-Specialist Braindump Pdf

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Tags: Exam Agentforce-Specialist Flashcards, Agentforce-Specialist Braindump Pdf, Agentforce-Specialist Reliable Mock Test, Agentforce-Specialist Test Lab Questions, Reliable Agentforce-Specialist Dumps Ppt

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Agentforce-Specialist Braindump Pdf, Agentforce-Specialist Reliable Mock Test

Agentforce-Specialist exam certification is considered as a standard in measuring your professional skills in your industry. Besides, those possessing the Salesforce Agentforce-Specialist certification are more likely to receive higher salaries. So it is very necessary to get Agentforce-Specialist certification. Here, PrepPDF Agentforce-Specialist free pdf download can give you some reference. First, you should have preview about the content of Agentforce-Specialist real test. Salesforce Agentforce-Specialist contains the comprehensive contents with explanations where is available. With the assist of Agentforce-Specialist training material, you will get success.

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
  • 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 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
  • 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 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.

Salesforce Certified Agentforce Specialist Sample Questions (Q122-Q127):

NEW QUESTION # 122
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. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
  • C. Invoke a flow which makes a call to external data to create a Knowledge article.

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 # 123
Universal Containers (UC) uses a file upload-based data library and custom prompt to support AI-driven training content. However, users report that the AI frequently returns outdated documents. Which corrective action should UC implement to improve content relevancy?

  • A. Continue using the default retriever without filters, because periodic re-uploads will eventually phase out outdated documents without further configuration or the need for custom retrievers.
  • B. Configure a custom retriever that includes a filter condition limiting retrieval to documents updated within a defined recent period, ensuring that only current content is used for AI responses.
  • C. Switch the data library source from file uploads to a Knowledge-based data library, because Salesforce Knowledge bases automatically manage document recency, ensuring current documents are returned.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC's issue is that their file upload-based Data Library (where PDFs or documents are uploaded and indexed into Data Cloud's vector database) is returning outdated training content in AI responses. To improve relevancy by ensuring only current documents are retrieved, the most effective solution is to configure a custom retriever with a filter (Option B). In Agentforce, a custom retriever allows UC to define specific conditions-such as a filter on a "Last Modified Date" or similar timestamp field-to limit retrieval to documents updated within a recent period (e.g., last 6 months). This ensures the AI grounds its responses in the most current content, directly addressing the problem of outdated documents without requiring a complete overhaul of the data source.
* Option A: Switching to a Knowledge-based Data Library (using Salesforce Knowledge articles) could work, as Knowledge articles have versioning and expiration features to manage recency.
However, this assumes UC's training content is already in Knowledge articles (not PDFs) and requires migrating all uploaded files, which is a significant shift not justified by the question's context. File- based libraries are still viable with proper filtering.
* Option B: This is the best corrective action. A custom retriever with a date filter leverages the existing file-based library, refining retrieval without changing the data source, making it practical and targeted.
* Option C: Relying on periodic re-uploads with the default retriever is passive and inefficient. It doesn't guarantee recency (old files remain indexed until manually removed) and requires ongoing manual effort, failing to proactively solve the issue.
Option B provides a precise, scalable solution to ensure content relevancy in UC's AI-driven training system.
References:
* Salesforce Agentforce Documentation: "Custom Retrievers for Data Libraries" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.agentforce_custom_retrievers.htm&type=5)
* Salesforce Data Cloud Documentation: "Filter Retrieval for AI" (https://help.salesforce.com/s
/articleView?id=sf.data_cloud_retrieval_filters.htm&type=5)
* Trailhead: "Manage Data Libraries in Agentforce" (https://trailhead.salesforce.com/content/learn
/modules/agentforce-data-libraries)


NEW QUESTION # 124
What is the primary function of the planner service in the Agent system?

  • A. Offering real-time language translation during conversations
  • B. Generating record queries based on conversation history
  • C. Identifying copilot actions to respond to user utterances

Answer: C

Explanation:
The primary function of the planner service in the Agent system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Agent should perform based on user input.


NEW QUESTION # 125
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 Reply Recommendations
  • B. Einstein Knowledge Recommendations
  • C. Einstein Service Replies

Answer: A

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 # 126
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases.
UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.
When would Einstein Copilot implementation be most advantageous?

  • A. When the focus is on optimizing marketing campaigns and strategies
  • B. When the main objective is to enhance data security and compliance measures
  • C. When the goal is to streamline customer support processes and improve response times

Answer: C

Explanation:
Einstein Copilotimplementation would be most advantageous inSalesforce Service Cloudwhen the goal is to streamline customer support processes and improve response times. Einstein Copilot can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
* Option B (data security)is not the primary focus of Einstein Copilot, which is more about improving operational efficiency.
* Option C (marketing campaigns)falls outside the scope of Service Cloud and Einstein Copilot's primary benefits, which are aimed at improving customer service and case management.
For further reading, refer toSalesforce documentation on Einstein Copilot for Service Cloudand how it improves support processes.


NEW QUESTION # 127
......

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