AGENTFORCE-SPECIALIST EXAMCOLLECTION - AGENTFORCE-SPECIALIST BEST VCE

Agentforce-Specialist Examcollection - Agentforce-Specialist Best Vce

Agentforce-Specialist Examcollection - Agentforce-Specialist Best Vce

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The TestkingPass recognizes that Salesforce Agentforce-Specialist aspirants are constantly juggling multiple responsibilities, so questions are ideal for quick preparation. Applicants can access these questions anywhere and at any time, using any smart device, which allows them to learn at their own pace. The Salesforce Certified Agentforce Specialist (Agentforce-Specialist) Questions are portable and you can also print them.

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 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.

Salesforce Certified Agentforce Specialist Sample Questions (Q117-Q122):

NEW QUESTION # 117
How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?

  • A. Data Cloud is not required; the articles can be accessed directly from the CRM by the agent.
  • B. Data Cloud provides the real-time data streams that update the Knowledge articles.
  • C. Data Cloud stores and manages the Indexed Knowledge articles.

Answer: C

Explanation:
How Does Data Cloud Support "Answer Questions with Knowledge" in Agentforce?
The Answer Questions with Knowledge action in Agentforce leverages Salesforce Data Cloud to store, manage, and index Knowledge articles used for AI-powered responses.
* Data Cloud as the Central Storage for Knowledge Articles
* Indexed Knowledge articles are stored and retrieved in real-time from Data Cloud.
* The AI system queries Data Cloud to fetch relevant articles when a service agent or customer needs an answer.
* Ensuring Up-to-Date Responses
* Data Cloud continuously updates Knowledge articles based on new insights, user interactions, and feedback.
* The AI can pull the latest, most relevant information from the Knowledge base.
* Enhancing AI-Driven Customer Service
* AI-generated responses are grounded in real customer service interactions.
* Service agents benefit from fast, context-aware answers, improving resolution times and customer satisfaction.
Why Not the Other Options?
# A. Data Cloud is not required; the articles can be accessed directly from the CRM by the agent.
* Incorrect because Data Cloud is the primary system for storing and indexing Knowledge articles.
* Without Data Cloud, Einstein AI cannot efficiently retrieve and rank articles dynamically.
# C. Data Cloud provides the real-time data streams that update the Knowledge articles.
* Incorrect because while Data Cloud stores and manages articles, real-time updates are not its primary function.
* The Knowledge Management system within Salesforce handles article creation and updates.
Agentforce Specialist References
* Salesforce AI Specialist Material highlights that Data Cloud is the core storage system for AI- driven Knowledge management.
* Salesforce Instructions for Certification confirm the central role of Data Cloud in managing indexed Knowledge articles for AI-powered responses.


NEW QUESTION # 118
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. 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.
  • 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. 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.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC's issue is that theirfile 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 toconfigure 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 aKnowledge-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 andinefficient. 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 # 119
Universal Containers wants to utilize Agentforce for Sales to help sales reps reach their sales quotas by providing AI-generated plans containing guidance and steps for closing deals. Which feature meets this requirement?

  • A. Create Close Plan
  • B. Find Similar Deals
  • C. Create Account Plan

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to leverage Agentforce for Sales to assist sales reps with AI-generated plans that provide guidance and steps for closing deals. Let's evaluate the options based on Agentforce for Sales features.
* Option A: Create Account PlanWhile account planning is valuable for long-term strategy, Agentforce for Sales does not have a specific "Create Account Plan" feature focused on closing individual deals.
Account plans typically involve broader account-level insights, not deal-specific closure steps, making this incorrect for UC's requirement.
* Option B: Find Similar Deals"Find Similar Deals" is not a documented feature in Agentforce for Sales. It might imply identifying past deals for reference, but it doesn't involve generating plans with guidance and steps for closing current deals. This option is incorrect and not aligned with UC's goal.
* Option C: Create Close PlanThe "Create Close Plan" feature in Agentforce for Sales uses AI to generate a detailed plan with actionable steps and guidance tailored to closing a specific deal. Powered by the Atlas Reasoning Engine, it analyzes deal data (e.g., Opportunity records) and provides reps with a roadmap to meet quotas. This directly meets UC's requirement for AI-generated plans focused on deal closure, making it the correct answer.
Why Option C is Correct:"Create Close Plan" is a specific Agentforce for Sales capability designed to help reps close deals with AI-driven plans, aligning perfectly with UC's needs as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Agentforce for Sales > Create Close Plan- Details AI-generated close plans.
* Trailhead: Explore Agentforce Sales Agents- Highlights close plan generation for sales reps.
* Salesforce Help: Sales Features in Agentforce- Confirms focus on deal closure.


NEW QUESTION # 120
Universal Containers deployed the new Agentforce Sales Development Representative (SDR) Into production, but sales reps are saying they can't find it. What is causing this issue?

  • A. Sales rep users profiles are missing the Allow SDR Agent permission.
  • B. Sales rep users do not have access to the SDR Agent object.
  • C. Sales rep users are missing the Use SDR Agent permission set.

Answer: C

Explanation:
Why is "Sales rep users are missing the Use SDR Agent permission set" the correct answer?
If sales reps are unable to find the Agentforce Sales Development Representative (SDR) Agent, the most likely cause is missing permissions. The "Use SDR Agent" permission set is required for users to access and interact with the SDR Agent in Agentforce.
Key Considerations for This Issue:
* Permission Set Restriction
* Users must have the "Use SDR Agent" permission set to access Agentforce SDR in their Salesforce environment.
* If they lack this permission, the SDR Agent will not appear in their interface.
* Agentforce Role-Based Access Control
* Agentforce assigns specific permissions based on user roles.
* Sales reps require explicit permission to access the SDR Agent.
* Fixing the Issue
* The Salesforce Admin should assign the "Use SDR Agent" permission set to all relevant sales reps.
* This is done in Setup # Permission Sets # Assign to Users.
Why Not the Other Options?
# A. Sales rep users' profiles are missing the Allow SDR Agent permission.
* Incorrect because "Allow SDR Agent" is not a standard permission setting in Agentforce.
* Permission is granted via permission sets, not profile-level settings.
# B. Sales rep users do not have access to the SDR Agent object.
* Incorrect because there is no separate "SDR Agent object" in Salesforce.
* SDR Agents are AI-driven features, not standard CRM objects that require object-level access.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that users require specific permission sets to access Agentforce SDR Agents.
* Salesforce Instructions for Certification highlight the role of permission sets in controlling Agentforce access.


NEW QUESTION # 121
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

  • A. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
  • B. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
  • C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.

Answer: C

Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, theAgentforce Specialistshould create aTrust Layer audit reportwithinData Cloud. By using the toxicity detector type filter, the report can displaytoxic responsesalong with their respective toxicity scores, allowingUniversal Containersto monitor and manage any toxic content generated with a high level of confidence.
* Option Cis correct because it enables visibility into toxic language detection within theTrust Layerand allows for auditing responses for toxicity.
* Option Asuggests checking a toxicity detection log, butSalesforceprovides more comprehensive options via the audit report.
* Option Binvolves creating a flow, which is unnecessary for toxicity detection monitoring.
References:
* Salesforce Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm


NEW QUESTION # 122
......

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