LATEST AGENTFORCE-SPECIALIST TEST SAMPLE - AGENTFORCE-SPECIALIST RELATED CERTIFICATIONS

Latest Agentforce-Specialist Test Sample - Agentforce-Specialist Related Certifications

Latest Agentforce-Specialist Test Sample - Agentforce-Specialist Related Certifications

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Tags: Latest Agentforce-Specialist Test Sample, Agentforce-Specialist Related Certifications, Latest Agentforce-Specialist Real Test, Agentforce-Specialist Exam Brain Dumps, Agentforce-Specialist Exam Cram Pdf

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 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.

>> Latest Agentforce-Specialist Test Sample <<

Agentforce-Specialist Related Certifications, Latest Agentforce-Specialist Real Test

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Salesforce Certified Agentforce Specialist Sample Questions (Q191-Q196):

NEW QUESTION # 191
An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order.
Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?

  • A. Specify the dependent actions with the reference to the action API name.
  • B. Specify the LLM model provider and version to be used to invoke the action.
  • C. Specify the profiles or custom permissions allowed to invoke the action.

Answer: A

Explanation:
When a custom Agent action is not being prioritized correctly by the planner service, the root cause is often missing or improperly defined action dependencies. The planner service determines the execution order of actions based on dependencies defined in the action instructions. To resolve this, theAgentforce Specialistmust explicitly specify dependent actions using their API names in the custom action's configuration. This ensures the planner understands the sequence in which actions must be executed to meet business logic requirements.
Salesforce documentation highlights that dependencies are critical for orchestrating workflows in Einstein Bots and Agentforce. For example, if Action B requires data from Action A, Action A's API name must be listed as a dependency in Action B's instructions. The Einstein Bot Developer Guide states that failing to define dependencies can lead to race conditions or incorrect execution order.
In contrast:
* Profiles or custom permissions (B) control access to the action but do not influence execution order.
* LLM model provider and version (C) determine the AI model used for processing but are unrelated to the planner's sequencing logic.


NEW QUESTION # 192
Before activating a custom copilot action, An Agentforce would like is to understand multiple real-world user utterances to ensure the action being selected appropriately.
Which tool should the Agentforce Specialist recommend?

  • A. Model Playground
  • B. Agent
  • C. Copilot Builder

Answer: C

Explanation:
To understand multiple real-world user utterances and ensure the correct action is selected before activating a custom copilot action, the recommended tool is Copilot Builder. This tool allows Agentforce Specialists to design and test conversational actions in response to user inputs, helping ensure the copilot can accurately handle different user queries and phrases. Copilot Builder provides the ability to test, refine, and improve actions based on real-world utterances.
* Option C is correct as Copilot Builder is designed for configuring and testing conversational actions.
* Option A (Model Playground) is used for testing models, not user utterances.
* Option B (Agent) refers to the conversational interface but isn't the right tool for designing and testing actions.
References:
* Salesforce Copilot Builder Overview: https://help.salesforce.com/s/articleView?id=sf.
einstein_copilot_builder.htm


NEW QUESTION # 193
Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

  • A. Route Work Action
  • B. Assignment
  • C. Decision

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC is integrating an Agentforce agent with Omni- Channel Flow to route work. Let's identify the correct element.
* Option A: Route Work ActionThe "Route Work" action in Omni-Channel Flow assigns work items (e.
g., cases, chats) to agents or queues based on routing rules. When connecting to an Agentforce agent, this action links the flow to the agent's queue or presence, enabling interaction. This is the standard element for agent integration, making it the correct answer.
* Option B: AssignmentThere's no "Assignment" element in Flow Builder for Omni-Channel.
Assignment rules exist separately, but within flows, routing is handled by "Route Work," making this incorrect.
* Option C: DecisionThe "Decision" element branches logic, not connects to agents. It's a control structure, not arouting mechanism, making it incorrect.
Why Option A is Correct:"Route Work" is the designated Omni-Channel Flow action for connecting to agents, including Agentforce agents, per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Omni-Channel Integration- Specifies "Route Work" for agents.
* Trailhead: Omni-Channel Flow Basics- Details routing actions.
* Salesforce Help: Set Up Omni-Channel Flows- Confirms "Route Work" usage.


NEW QUESTION # 194
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

  • A. Secure Data Retrieval and Grounding
  • B. Prompt Defense
  • C. Data Masking

Answer: B

Explanation:
The Einstein Trust Layer is designed to ensure responsible and compliant AI usage. Data Masking (B) is the mechanism that directly addresses compliance with data protection regulations like GDPR by obscuring or anonymizing sensitive personal data (e.g., names, emails, phone numbers) before it is processed by AI models. This prevents unauthorized exposure of personally identifiable information (PII) and ensures adherence to privacy laws.
Salesforce documentation explicitly states that Data Masking is a core component of the Einstein Trust Layer, enabling organizations to meet GDPR requirements by automatically redacting sensitive fields during AI interactions. For example, masked data ensures that PII is not stored or used in AI model training or inference without explicit consent.
In contrast:
* Toxicity Scoring (A) identifies harmful or inappropriate content in outputs but does not address data privacy.
* Prompt Defense (C) guards against malicious prompts or injection attacks but focuses on security rather than data protection compliance.


NEW QUESTION # 195
An account manager is preparing for an upcoming customer call and wishes to get a snapshot of key data points from accounts, contacts, leads, and opportunities in Salesforce.
Which feature provides this?

  • A. Work Summaries
  • B. Sales Insight Summary
  • C. Sales Summaries

Answer: B

Explanation:
Sales Insight Summary aggregates key data points from multiple Salesforce objects (accounts, contacts, leads, opportunities) into a consolidated view, enabling account managers to quickly access relevant information for customer calls.
* Option A (Sales Summaries): Typically refers to Einstein-generated summaries of specific interactions (e.g., emails, calls), not multi-object snapshots.
* Option C (Work Summaries): Focuses on summarizing customer service interactions (e.g., chat transcripts), not sales data.
* Option B (Sales Insight Summary): Directly provides a holistic snapshot of sales-related objects, aligning with the scenario.
References:
* Salesforce Help: Sales Insight Overview
* Describes Sales Insight Summary as "a unified view of account, contact, and opportunity data for sales readiness."


NEW QUESTION # 196
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