Salesforce Agentforce-Specialist認定テキスト & Agentforce-Specialist問題サンプル

審査中、Agentforce-Specialist試験トレントに問題がある場合は、アフターセールスにお問い合わせください。彼らは常にあなたを24時間365日お手伝いします。これらのサービスにより、損失を回避できます。また、Agentforce-Specialist練習教材の合格率はこれまでに98〜100％に達しているため、この機会を逃すことはできません。また、Agentforce-Specialist試験トレントの無料アップデートが1年間無料でメールボックスに送信されます。練習資料の使用中に素晴らしい経験ができることを願っています。

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	Agentforce の概念: このセクションでは、AI エンジニアのスキルを評価し、Agentforce の仕組み (推論エンジン、標準トピックとカスタムトピック、エージェントアクション、ユーザーセキュリティ管理など) について説明します。また、サンドボックスから実稼働環境へのエージェントのテストと展開も含まれます。
トピック 2	Agentforce と Data Cloud: このセクションでは、AI 開発者のスキルを測定し、Agentforce を Data Cloud と統合して応答精度を向上させ、回答をパーソナライズする方法について説明します。エージェントのパフォーマンスを向上させるために、Data Cloud のリトリーバーを基盤とします。
トピック 3	Agentforce と Sales Cloud: このセクションでは、AI 開発者のスキルを評価し、Sales Cloud シナリオにおける Agentforce の適切な生成 AI 機能の特定について説明します。また、営業開発担当者 (SDR) や営業コーチなどの Agentforce 営業エージェントをいつ使用するかを決定することも含まれます。
トピック 4	Agentforce と Service Cloud: このセクションでは、AI エンジニアのスキルを測定し、ナレッジ記事に基づいて質問に答えるエージェントの構築と、それらをデジタルチャネルに接続することに重点を置きます。また、Service Cloud シナリオ向けの Agentforce で適切な生成 AI 機能を特定する方法についても説明します。
トピック 5	プロンプトエンジニアリング: このセクションでは、AI 開発者のスキルを測定し、プロンプトエンジニアリング手法に焦点を当てます。プロンプトビルダーを使用するタイミングの特定、プロンプトテンプレートの管理、適切なグラウンディング手法の選択、プロンプトテンプレートの作成と実行のプロセスの説明について説明します。

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最も優秀なSalesforce Agentforce-Specialist試験問題集のサンプルを試す

Agentforce-Specialist試験のJpexam教材は専門家によって編集され、経験豊富な専門家によって承認されています。これらは、合格試験の論文と業界で人気の傾向に従って改訂および更新されます。 Agentforce-Specialist試験トレントの言語は理解しやすいものであり、Agentforce-Specialist試験問題はどの学習者にも適しています。 Agentforce-Specialist学習教材の内容は習得しやすく、重要な情報を簡素化しました。 Agentforce-Specialistテストの質問は、最新かつ有効な質問と回答を伝えるため、Salesforce Certified Agentforce Specialist学習がリラックスして効率的になります。

Salesforce Certified Agentforce Specialist 認定 Agentforce-Specialist 試験問題 (Q160-Q165):

質問 # 160
What does it mean when a prompt template version is described as immutable?

A. Every modification on a template will be saved as a new version automatically.
B. Only the latest version of a template can be activated.
C. Prompt template version is activated; no further changes can be saved to that version.

正解：C

解説：
When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.
* Option A is incorrect: Any version (not just the latest) can be activated, depending on the use case.
* Option D is incorrect: Modifications require manually creating a new version; automatic versioning is not enforced.
* Option C is correct: Activation locks the version, enforcing immutability.
References:
* Salesforce Help: Prompt Template Versioning
* States that "activated prompt template versions are immutable and cannot be edited."

質問 # 161
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.

正解：C

解説：
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.

質問 # 162
Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

A. Recreate the flow using the Agentforce agent user.
B. Assign the Manage Users permission to the Agentforce Agent user.
C. Assign the Run Flows permission to the Agentforce Agent user.

正解：C

解説：
Comprehensive and Detailed In-Depth Explanation:UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let's assess the options.
* Option A: Recreate the flow using the Agentforce agent user.Flows are authored by admins or developers, not "recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn't the flow's creation context but its execution permissions. This option is impractical and incorrect.
* Option B: Assign the Manage Users permission to the Agentforce Agent user.The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent's needs, making it incorrect.
* Option C: Assign the Run Flows permission to the Agentforce Agent user.The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce's security model and Agentforce setup requirements. This is the correct answer.
Why Option C is Correct:Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions- Requires "Run Flows" for flow-based actions.
* Trailhead: Set Up Agentforce Service Agents- Lists "Run Flows" in agent user permissions.
* Salesforce Help: Agentforce Security > Permissions- Confirms flow execution needs.

質問 # 163
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should An Agentforce recommend to resolve the issue?

A. Enable data masking for sandbox refreshes.
B. Configure data masking in the Einstein Trust Layer setup.
C. Add new data masking rules in LLM setup.

正解：B

解説：
WhenUniversal Containers' AI data masking rulesdo not meet organizational privacy and security standards, theAgentforce Specialistshould configure thedata maskingrules within theEinstein Trust Layer.
TheEinstein Trust Layerprovides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
* Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
* Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through theEinstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
SalesforceAgentforce SpecialistReferences:For more information, refer to:https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer_data_masking.htm

質問 # 164
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. Agent
B. Model Playground
C. Copilot Builder

正解：C

解説：
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

質問 # 165
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