PASS WITH AI SPECIALIST AGENTFORCE-SPECIALIST VALID CRAM & AGENTFORCE-SPECIALIST PRACTICE DUMPS

Pass with AI Specialist Agentforce-Specialist valid cram & Agentforce-Specialist practice dumps

Pass with AI Specialist Agentforce-Specialist valid cram & Agentforce-Specialist practice dumps

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Tags: Agentforce-Specialist VCE Exam Simulator, Downloadable Agentforce-Specialist PDF, Valid Test Agentforce-Specialist Experience, Free Agentforce-Specialist Download Pdf, Agentforce-Specialist Certified

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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 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 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 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q202-Q207):

NEW QUESTION # 202
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should theAgentforce Specialistrecommend?

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

Answer: B


NEW QUESTION # 203
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?

  • A. Retrieves Salesforce data based on the user's permissions executing the prompt.
  • B. Retrieves Salesforce data based on the 'Run As" users permissions.
  • C. Retrieves Salesforces data based on the Prompt template's object permissions.

Answer: A

Explanation:
Secure Data Retrieval enforces Salesforce's security model by dynamically grounding data access in the permissions of the user executing the prompt. This ensures compliance with CRUD (Create, Read, Update, Delete) and FLS (Field-Level Security) settings, preventing unauthorized access to sensitive data. For example, if a user lacks access to a specific object or field, the AI model cannot retrieve it for dynamic grounding.
* "Run As" user permissions (A) would bypass user-specific security, posing a compliance risk.
* Prompt template permissions (C) are not a Salesforce security mechanism; access is always tied to the user's profile and sharing settings.


NEW QUESTION # 204
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?

  • A. Agent Settings
  • B. Event Logs
  • C. Plan Canvas

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting. Let's evaluate the options.
* Option A: Plan CanvasPlan Canvas in Agent Builder visualizes an agent's execution plan for a single interaction, useful for design but not for aggregated troubleshooting data like errors or all interactions, making it incorrect.
* Option B: Agent SettingsAgent Settings configure the agent (e.g., topics, channels), not provide interaction logs or error details. This is for setup, not analysis, making it incorrect.
* Option C: Event LogsEvent Logs in Agentforce (accessible via Setup or Agent Analytics) record all user interactions, including errors, incorrectly triggered actions, and incomplete plans. They provide detailed telemetry (e.g., timestamps, action outcomes) for troubleshooting performance issues, making this the correct answer.
Why Option C is Correct:Event Logs offer the full scope of interaction data needed for troubleshooting, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Agent Analytics > Event Logs- Details interaction and error logging.
* Trailhead: Monitor and Optimize Agentforce Agents- Recommends Event Logs for troubleshooting.
* Salesforce Help: Agentforce Performance- Confirms logs for diagnostics.


NEW QUESTION # 205
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the "summary"'

  • A. Sentiment Analysis and Emotion Detection
  • B. Issue and Revolution
  • C. Draft Survey Request Email

Answer: B

Explanation:
Einstein Work Summaries automatically generate concise summaries of customer interactions (e.g., chat transcripts). Beyond the "summary" field, it extracts and populates Issue (key problem discussed) and Resolution (action taken to resolve the issue). These fields help agents and supervisors quickly grasp the conversation's context without reviewing the full transcript.
* Sentiment Analysis and Emotion Detection (Option A): While Einstein Conversation Insights provides sentiment scores and emotion detection, these are separate from Work Summaries.Work Summaries focus on factual summaries, not sentiment.
* Draft Survey Request Email (Option B): Not part of Work Summaries. This would require automation tools like Flow or Email Studio.
* Issue and Resolution (Option C): Directly referenced in Salesforce documentation as fields populated by Einstein Work Summaries.
References:
* Salesforce Help Article: Einstein Work Summaries
* Einstein Work Summaries focus on "key details like Issue and Resolution" alongside summaries.
* Contrast with Einstein Conversation Insights for sentiment/emotion analysis.


NEW QUESTION # 206
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.
What should UC consider when using standard Service AI Grounding?

  • A. Service AI Grounding visibility works m system mode.
  • B. Service AI Grounding only supports String and Text Area type fields.
  • C. Service AI Grounding only works with Case and Knowledge objects.

Answer: B

Explanation:
Service AI Grounding retrieves data from Salesforce objects to ground AI-generated responses.Key considerations:
* Field Types: Standard Service AI Grounding supports String and Text Area fields. Custom rich text fields (e.g., RichTextArea) are not supported, making Option B correct.
* Objects: While Service AI Grounding primarily uses Case and Knowledge objects (Option A), the limitation here is the field type, not the object.
* Visibility: Service AI Grounding respects user permissions and sharing settings unless overridden (Option C is incorrect).
References:
* Salesforce Help: Service AI Grounding Requirements
* Explicitly states support for "Text Area and String fields" only.


NEW QUESTION # 207
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