NEW AGENTFORCE-SPECIALIST TEST BRAINDUMPS, LATEST AGENTFORCE-SPECIALIST TEST ANSWERS

New Agentforce-Specialist Test Braindumps, Latest Agentforce-Specialist Test Answers

New Agentforce-Specialist Test Braindumps, Latest Agentforce-Specialist Test Answers

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Tags: New Agentforce-Specialist Test Braindumps, Latest Agentforce-Specialist Test Answers, Agentforce-Specialist Free Dump Download, Online Agentforce-Specialist Lab Simulation, New Agentforce-Specialist Dumps Ppt

Actual4Labs provides you with actual Salesforce Agentforce-Specialist dumps in PDF format, Desktop-Based Practice tests, and Web-based Practice exams. These 3 formats of Salesforce Certified Agentforce Specialist exam preparation are easy to use. This is a printable Salesforce Agentforce-Specialist PDF dumps file. The Salesforce Agentforce-Specialist Pdf Dumps enables you to study without any device, as it is a portable and easily shareable format, thus you can study Salesforce Agentforce-Specialist dumps on your preferred smart device such as your smartphone or in hard copy format.

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 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 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 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 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q168-Q173):

NEW QUESTION # 168
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.
Which solution approach should the admin leverage?

  • A. Create a Sales Email prompt template type.
  • B. Create a t field Generation prompt template type
  • C. Use sales Email standard templates

Answer: A

Explanation:
To generate personalized emails using LLMs while reusing templates:
* Sales Email Prompt Template Type (Option C): Designed specifically for generating dynamic email content by combining LLMs with structured templates. It allows admins to define placeholders (e.g., customer name, product details) and reuse templates across scenarios.
* Option A: Standard email templates lack LLM integration and dynamic personalization.
* Option B: "t field Generation" is not a valid Salesforce prompt template type.
References:
* Salesforce Help: Sales Email Prompt Templates
* Describes using Sales Email prompt templates to "generate targeted emails using dynamic data and LLMs."


NEW QUESTION # 169
Universal Containers (UC) implements a custom retriever to improve the accuracy of AI-generated responses.
UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?

  • A. Define filters to narrow the search results based on specific conditions.
  • B. Increase the maximum number of results returned to capture a broader dataset.
  • C. Change the search index to a different data model object (DMO).

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, acustom retrieveris used to fetch relevant data (e.g., from Data Cloud's vector database or Salesforce records) to ground AI responses.
UC's issue is that their retriever returns too many irrelevant results, reducing response accuracy. The best solution is todefine filters(Option A) to refine the retriever's search criteria. Filters allow UC to specify conditions (e.g., "only retrieve documents from the 'Policy' category" or "records created after a certain date") that narrow the dataset, ensuring the retriever returns only relevant results. This directly improves the precision of AI-generated responses by excluding extraneous data, addressing UC's problem effectively.
* Option B: Changing the search index to a different data model object (DMO) might be relevant if the retriever is querying the wrong object entirely (e.g., Accounts instead of Policies). However, the question implies the retriever is functional but unrefined, so adjusting the existing setup with filters is more appropriate than switching DMOs.
* Option C: Increasing the maximum number of results would worsen the issue by returning even more data, including more irrelevant entries, contrary to UC's goal of improving relevance.
* Option A: Filters are a standard feature in custom retrievers, allowing precise control over retrieved data, making this the correct action.
Option A is the most effective step to ensure relevance in retrieved data.
References:
* Salesforce Agentforce Documentation: "Create Custom Retrievers" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_custom_retrievers.htm&type=5)
* Salesforce Data Cloud Documentation: "Filter Data for AI Retrieval" (https://help.salesforce.com/s
/articleView?id=sf.data_cloud_retrieval_filters.htm&type=5)


NEW QUESTION # 170
Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities. What is one criterion that Agentforce for Sales uses to match similar opportunities?

  • A. Matched opportunities have a status of Closed Won from the last 12 months.
  • B. Matched opportunities were created in the last 12 months.
  • C. Matched opportunities are limited to the same account.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC uses Agentforce for Sales to identify similar opportunities, aiding deal closure. Let's determine a criterion used by the "Find Similar Opportunities" feature.
* Option A: Matched opportunities have a status of Closed Won from the last 12 months.Agentforce for Sales analyzes historical data to find similar opportunities, prioritizing "Closed Won" deals as successful examples. Documentation specifies a 12-month lookback period for relevance, ensuring recent, applicable matches. This is a key criterion, making it the correct answer.
* Option B: Matched opportunities are limited to the same account.While account context may factor in, Agentforce doesn't restrict matches to the same account-it considers broader patterns across opportunities (e.g., industry, deal size). This is too narrow and incorrect.
* Option C: Matched opportunities were created in the last 12 months.Creation date isn't a primary criterion-status (e.g., Closed Won) and recency of closure matter more. This doesn't align with documented behavior, making it incorrect.
Why Option A is Correct:"Closed Won" status within 12 months is a documented criterion for Agentforce's similarity matching, providing actionable insights for deal closure.
References:
* Salesforce Agentforce Documentation: Agentforce for Sales > Find Similar Opportunities- Specifies Closed Won, 12-month criterion.
* Trailhead: Explore Agentforce Sales Agents- Details opportunity matching logic.
* Salesforce Help: Sales Features in Agentforce- Confirms historical success focus.


NEW QUESTION # 171
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?

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

Answer: A

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 # 172
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. Add an Answer Questions custom field in the product object for tutorial instructions.
  • B. Create a prompt template for product tutorials and guides.
  • 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 # 173
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