Agentforce-Specialist受験記対策 & Agentforce-Specialist認定内容

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Salesforce Agentforce-Specialist Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Agentforce Specialist
Exam Number:	Agentforce-Specialist
Related Certifications:	Salesforce Certified AI Associate Salesforce Certified AI Specialist (Legacy)
Passing Score:	73%
Exam Format:	Multiple-select, Multiple-choice
Exam Duration:	105 minutes
Real Exam Qty:	60
Exam Price:	USD 200
Available Languages:	English
Sample Questions:	Salesforce Agentforce-Specialist Sample Questions
Exam Way:	Online (Proctored) or Testing Center
Pre Condition:	None
Official Syllabus URL:	https://trailhead.salesforce.com/help?article=Salesforce-Certified-Agentforce-Specialist-Exam-Guide

>> Agentforce-Specialist受験記対策 <<

Agentforce-Specialist認定内容、Agentforce-Specialist日本語試験情報

当社JPTestKingのAgentforce-Specialist調査問題は現在、市場で最も強力であると言えます。これは、当社が他の企業のリーダーであるだけでなく、忠実なユーザーもいるからです。 Agentforce-Specialistトレーニング資料は、国内市場だけでなく、国際的なハイエンド市場でもあります。ハイエンドユーザーに適したいくつかの学習モデルを研究しています。 Agentforce-Specialist研究資料には多くの利点があります。これで、Agentforce-Specialistガイド急流に関する詳細をサイトから知ることができます。

Salesforce Agentforce-Specialist 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
トピック 2	Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.
トピック 3	AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.
トピック 4	Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
トピック 5	Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.

Salesforce Certified Agentforce Specialist (AI-201) 認定 Agentforce-Specialist 試験問題 (Q374-Q379):

質問 # 374
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. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
C. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.

正解：B

解説：
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should 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.
:
Salesforce Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm

質問 # 375
An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should the Agentforce Specialist recommend to achieve this use case?

A. Deploy UC's own custom foundational model on this data first.
B. Fine-Tune the standard foundational model due to the complexity of the data.
C. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.

正解：C

解説：
For no-code implementations, Prompt Builder allows Agentforce Specialists to create prompt templates that dynamically ground responses in Salesforce CRM data (e.g., past purchases) and Data Cloud insights (e.
g., product interests) without custom coding. The standard foundation model (e.g., Einstein GPT) can synthesize this data into summaries, leveraging structured and unstructured sources (e.g., email/phone transcripts). Fine-tuning (B) or custom models (C) require code and are unnecessary here, as the use case does not involve unique data patterns requiring model retraining.
Reference:
Salesforce Help Article: Prompt Builder for No-Code AI ("Grounding in CRM and Data Cloud" section).
Einstein GPT Implementation Guide: "Generating Summaries with Pre-Built Models."

質問 # 376
Universal Containers' service team wants to customize the standard case summary response from Agentforce.
What should the Agentforce Specialist do to achieve this?

A. Summarize the Case with a standard Agent action.
B. Create a custom Record Summary prompt template for the Case object.
C. Customize the standard Record Summary template for the Case object.

正解：B

解説：
Comprehensive and Detailed In-Depth Explanation:UC's service team seeks to customize the standard case summary response provided by Agentforce. Let's assess the options for tailoring this output.
* Option A: Create a custom Record Summary prompt template for the Case object.In Prompt Builder, the standard Record Summary prompt template generates summaries for objects like Case. To customize it, the Agentforce Specialist can create a new custom prompt template, specifying the Case object as the source, and adjust the instructions (e.g., tone, fields included) to meet UC's needs. This new template can then be invoked by an agent or flow, providing a tailored summary. This approach offers full control and aligns with Salesforce's customization process, making it the correct answer.
* Option B: Summarize the Case with a standard Agent action.Standard Agent actions (e.g., "Answer Questions") don't specifically target case summarization-they're broader in scope. There's no out-of- the-box "Summarize Case" action that allows customization of the response format, making this insufficient and incorrect.
* Option C: Customize the standard Record Summary template for the Case object.Standard prompt templates in Prompt Builder (e.g., Record Summary) are read-only and cannot be directly edited. Customization requires cloning or creating a new template, not modifying the standard one, making this incorrect.
Why Option A is Correct:Creating a custom Record Summary prompt template allows full customization of the case summary, leveraging Prompt Builder's flexibility, as per Salesforce best practices.
References:
* Salesforce Agentforce Documentation: Prompt Builder > Custom Templates- Details creating custom summaries.
* Trailhead: Build Prompt Templates in Agentforce- Explains customizing standard outputs.
* Salesforce Help: Record Summaries with AI- Recommends custom templates for tailored results.

質問 # 377
A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
* Capture the customer's issue, troubleshooting steps taken, and next actions.
* Be no longer than five sentences.
* Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state "No next action required." Which prompt template fallows Salesforce prompt design best practices?
required."
Format: Use numbered sentences for clarity.

A. Role: You are a support agent writing a case summary.
Task: Provide a professional summary of the issue and troubleshooting steps.
Contest: Include customer issue, steps taken, and next actions if available.
Constraints: No strict sentence limit, but use plain language. If no next action is found, leave it out.
Format: Use paragraphs for readability.
B. Role: You are an experienced support agent.
Task: Summarize the case notes,
Context: Include customer issue, troubleshooting steps, and next actions.
Constraints: Limit to 5 sentences, use plain language, and if no next action is found, state "No next action
C. Role: You are a case documentation assistant,
Task: Write a summary of the support call.
Context: Always describe the customer issue, troubleshooting, and resolution details.
Constraints: The summary should be comprehensive and professional, but there is no limit on length or language style.
Format: Use complete sentences in a narrative style.

正解：B

解説：
According to the Salesforce Prompt Builder Best Practices Guide, an effective prompt must include Role, Task, Context, Constraints, and Format clearly defined - a structure known as the RTCCF model. The documentation explains: "Prompts should specify the assistant's role, define a clear task, include context and constraints, and provide output format instructions to ensure predictable and high-quality responses." Option A follows this framework precisely. It defines:
* Role: The assistant's identity ("experienced support agent").
* Task: Summarizing case notes.
* Context: Customer issue, troubleshooting steps, next actions.
* Constraints: Limit of 5 sentences, plain language, include "No next action required" if applicable.
* Format: Numbered sentences for clarity.
Options B and C omit critical prompt design elements such as strict constraints or output formatting and therefore do not align with Salesforce's prompt design standard.
References (AgentForce Documents / Study Guide):
* Salesforce Prompt Builder Guide: "Prompt Structure Using RTCCF Model"
* AgentForce Prompt Template Design Guide: "Best Practices for Summarization Prompts"
* Salesforce AI Prompt Engineering Study Guide

質問 # 378
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.

正解：A

解説：
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.

質問 # 379
......

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