SALESFORCE AGENTFORCE-SPECIALIST EXAM COST | AGENTFORCE-SPECIALIST RELIABLE TEST PRACTICE

Salesforce Agentforce-Specialist Exam Cost | Agentforce-Specialist Reliable Test Practice

Salesforce Agentforce-Specialist Exam Cost | Agentforce-Specialist Reliable Test Practice

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 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 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 (Q187-Q192):

NEW QUESTION # 187
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?

  • A. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.
  • B. Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.
  • C. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let's evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activationstatus-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex- Notes standard Apex deployment rules apply.
* Salesforce Developer Guide: Apex Testing- Confirms 75% coverage requirement.
* Trailhead: Deploy Apex Code- Emphasizes coverage and dependencies for production.


NEW QUESTION # 188
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls. How should UC meet this requirement?

  • A. Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
  • B. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
  • C. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC wants insights into product and competitor mentions during sales calls, leveraging Einstein Conversation Insights. Let's evaluate the options.
* Option A: Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.Einstein Conversation Insights analyzes call recordings to identify keywords like productand competitor names. Setup requires enabling the feature, connecting an external recording provider (e.g., Zoom, Gong), assigning permission sets (e.g., Einstein Conversation Insights User), and customizing insights by defining up to
25 products or competitors to track. Salesforce documentation confirms the 25-item limit for custom keywords, making this the correct, precise answer aligning with UC's needs.
* Option B: Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.There's no "recording managers" role in Einstein Conversation Insights setup-integration is with a provider, not a manager designation.
The limit is 25 keywords (not 50), and the option omits the critical step of connecting a provider, making it incorrect.
* Option C: Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products."Enable sales recording" is vague-Conversation Insights relies on external providers, not a native Salesforce recording feature. The keyword limit is 25, not 50, making this incorrect despite being closer than B.
Why Option A is Correct:Option A accurately reflects the setup process and limits for Einstein Conversation Insights, meeting UC's requirement per Salesforce documentation.
References:
* Salesforce Help: Set Up Einstein Conversation Insights- Details provider connection and 25-keyword limit.
* Trailhead: Einstein Conversation Insights Basics- Covers permissions and customization.
* Salesforce Agentforce Documentation: Sales Features- Confirms integration steps.


NEW QUESTION # 189
Where should theAgentforce Specialistgo to add/update actions assigned to a copilot?

  • A. Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab
  • B. Copilot Actions page or Global Actions
  • C. Copilot Detail page, Global Actions, or the record page for the copilot action

Answer: A

Explanation:
To add or update actions assigned to a copilot, An Agentforce can manage this through several areas:
* Copilot Actions Page: This is the central location where copilot actions are managed and configured.
* Record Page for the Copilot Action: From the record page, individual copilot actions can be updated or modified.
* Copilot Action Library Tab: This tab serves as a repository where predefined or custom actions for Copilot can be accessed and modified.
These areas provide flexibility in managing and updating the actions assigned to Copilot, ensuring that the AI assistant remains aligned with business requirements and processes.
The other options are incorrect:
* Bmisses the Copilot Action Library, which is crucial for managing actions.
* Cincludes the Copilot Detail page, which isn't the primary place for action management.
References:
* Salesforce Documentation onManaging Copilot Actions
* SalesforceAgentforce SpecialistGuide onCopilot Action Management


NEW QUESTION # 190
Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?

  • A. The data source can be changed through the Data Cloud settings.
  • B. The Data Retriever can be reconfigured to use a different data source.
  • C. The data source cannot be changed after it is selected.

Answer: C

Explanation:
Why is "The data source cannot be changed after it is selected" the correct answer?
When configuring an Agentforce Data Library, the data source selection is permanent. Once a data source is set, it cannot be modified or replaced. This design ensures data consistency, security, and reliability within Salesforce's AI-driven environment.
Key Considerations in Agentforce Data Library
* Data Source Lock-In
* The chosen data source remains fixed to maintain data integrity and avoid inconsistencies.
* Any updates or modifications require creating a new Data Library instead of modifying the existing one.
* Why Can't the Data Source Be Changed?
* The data source defines the foundation of AI-driven workflows, and any modification would disrupt processing logic.
* Agentforce tools rely on structured datasets to enable AI-powered recommendations, and changing data sources could lead to inconsistencies in grounding techniques.
* Workarounds for Changing Data Sources
* If an organization needs to use a different data source, a new Agentforce Data Library must be created and configured from scratch.
* Old data can be manually migrated into the new data source for continuity.
Why Not the Other Options?
# A. The data source can be changed through the Data Cloud settings.
* Incorrect because once the data source is linked to an Agentforce Data Library, it cannot be altered, even via Data Cloud settings.
# B. The Data Retriever can be reconfigured to use a different data source.
* Incorrect as the Data Retriever works within the constraints of the selected data source and does not provide an option to swap data sources post-selection.
Agentforce Specialist References
The Salesforce AI Specialist Material and Salesforce Instructions for the Certification confirm that once a data source is set for an Agentforce Data Library, it cannot be changed.


NEW QUESTION # 191
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

  • A. Einstein Service Replies and Work Summaries
  • B. Einstein Reply Recommendations and Case Classification
  • C. Einstein Reply Recommendations and Case Summaries

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to streamline customer support by addressing two goals: reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto-suggesting case field values. In Salesforce Agentforce for Service,Einstein Reply RecommendationsandCase Classification(Option A) are the ideal combination to achieve this.
* Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to-use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
* Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.
* Option B: While "Einstein Reply Recommendations" is correct for the first part, "Case Summaries" generates a summary of the case rather than suggesting specific field values. Summaries are useful for documentation but don't directly reduce post-chat field entry time.
* Option C: "Einstein Service Replies" is not a distinct, documented feature in Agentforce (possibly a distractor for Reply Recommendations), and "Work Summaries" applies more to summarizing work orders or broader tasks, not case field suggestions in a chat context.
* Option A: This combination precisely targets both in-chat efficiency (Reply Recommendations) and post-chat automation (Case Classification).
Thus, Option A is the correct answer for UC's needs.
References:
* Salesforce Agentforce Documentation: "Einstein Reply Recommendations" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.einstein_reply_recommendations.htm&type=5)
* Salesforce Agentforce Documentation: "Case Classification" (Salesforce Help:https://help.salesforce.
com/s/articleView?id=sf.case_classification.htm&type=5)
* Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce- for-service)


NEW QUESTION # 192
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