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便利Agentforce-Specialist|最高のAgentforce-Specialist資格トレーリング試験|試験の準備方法Salesforce Certified Agentforce Specialistテスト難易度
Salesforce Agentforce-Specialist学習教材を選んだら、Agentforce-Specialist試験に落ちた人は少ないです。何故というと、Agentforce-Specialist学習教材の合格率が高いからです。Agentforce-Specialist学習教材は多くの人から好評をもらいました。そのほかに、Agentforce-Specialist学習教材は三種類があります。自分の好みによって選択できます。とても便利で、使い安いです。
自分のIT業界での発展を希望したら、SalesforceのAgentforce-Specialist試験に合格する必要があります。SalesforceのAgentforce-Specialist試験はいくつ難しくても文句を言わないで、我々Fast2testの提供する資料を通して、あなたはSalesforceのAgentforce-Specialist試験に合格することができます。SalesforceのAgentforce-Specialist試験を準備しているあなたに試験に合格させるために、我々Fast2testは模擬試験ソフトを更新し続けています。
>> Agentforce-Specialist資格トレーリング <<
便利なAgentforce-Specialist資格トレーリング & 合格スムーズAgentforce-Specialistテスト難易度 | 信頼できるAgentforce-Specialist日本語
信頼できるAgentforce-Specialistの質問と回答は、その分野で豊富な経験を持つ専門家によって開発されました。 Agentforce-Specialist準備ガイドの絶え間ない更新により、試験問題の高い精度が維持されるため、Agentforce-Specialist試験をすばやく使用できます。試験中は、Agentforce-Specialistの質問と回答で練習した質問に精通しています。また、Agentforce-Specialist試験問題は非常に正確で有効であるため、合格率は99%〜100%です。それが、ほとんどのお客様が常にAgentforce-Specialist試験に簡単に合格する理由です。
Salesforce Agentforce-Specialist 認定試験の出題範囲:
| トピック | 出題範囲 |
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| トピック 2 |
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| トピック 3 |
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| トピック 4 |
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Salesforce Certified Agentforce Specialist 認定 Agentforce-Specialist 試験問題 (Q22-Q27):
質問 # 22
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?
- A. Service Replies
- B. Case Escalation
- C. Case Summaries
正解:A
解説:
* Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
* Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
* Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus,Service Repliesis the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.
Reference:
"Boost Productivity with Generative AI in Service Cloud | Salesforce Trailhead" .
質問 # 23
Choose 1 option.
Universal Containers (UC) plans to answer questions based on similar cases that have been successfully resolved in the past.
What should UC consider when implementing this approach?
- A. Create a data model object (DMO) based on Case object and create an index on it.
- B. Create an unstructured data model object (UDMO) based on Case object and create an index on it.
- C. No action is needed, as past cases are used to answer the question.
正解:B
解説:
According to the AgentForce Data Configuration and Retrieval Guide, when an organization like Universal Containers wants to enable its AI agent to answer questions using historical case data, the correct implementation is to create an Unstructured Data Model Object (UDMO) based on the Case object, then index that data for retrieval.
The documentation clearly explains:
"When using previous case records to power AI-driven Q&A or similarity-based retrieval, create a UDMO mapped to the Case object. UDMOs allow the system to process and semantically index unstructured text fields such as Case Description, Resolution, and Comments, enabling the LLM to surface contextually similar resolved cases." This allows the AgentForce retrieval engine to perform semantic searches across historical support data, returning cases that are most contextually relevant to the user's query.
Option A is incorrect because past cases cannot be used automatically without indexing them.
Option B is incorrect because a DMO is for structured data (tables, numeric fields) and doesn't support semantic text retrieval.
Therefore, Option C is correct and aligns fully with Salesforce's documented best practices.
References (AgentForce Documents / Study Guide):
* AgentForce Data Configuration Guide: "Using UDMOs for Case-Based Reasoning"
* AgentForce Implementation Handbook: "Indexing Historical Case Records for Semantic Search"
* AgentForce Study Guide: "Creating Unstructured Data Model Objects from Case Objects"
質問 # 24
Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality. What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?
- A. Instructions
- B. Output Types
- C. Action Triggers
正解:A
解説:
Comprehensive and Detailed In-Depth Explanation:UC's development team needs to identify a core component of a Custom Agent Action in Agent Builder. Let's assess the options.
* Option A: Action Triggers"Action Triggers" isn't a term used in Agentforce Custom Agent Action configuration.Actions are invoked by topics or plans, not standalone triggers, making this incorrect.
* Option B: InstructionsInstructions are a core component of a Custom Agent Action in Agentforce.
Defined in Agent Builder, they guide the Atlas Reasoning Engine on how to execute the action (e.g., what to do with inputs, how to process data). Reviewing the instructions helps the team understand the action's purpose and logic, making this the correct answer.
* Option C: Output TypesWhile outputs are part of an action's result, "Output Types" isn't a distinct configuration element in Agent Builder. Outputs are determined by the action's execution (e.g., Flow or Apex), not a separate setting, making this less core and incorrect.
Why Option B is Correct:Instructions are a fundamental component of Custom Agent Actions, providing the AI's execution directives, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions- Highlights instructions as key.
* Trailhead: Build Agents with Agentforce- Details configuring actions with instructions.
* Salesforce Help: Create Custom Actions- Confirms instructions' role.
質問 # 25
Universal Containers (UC) wants to limit an agent's access to Knowledge articles while deploying the
"Answer Questions with Knowledge" action. How should UC achieve this?
- A. Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.
- B. Define scope instructions to the agent specifying a list of allowed article titles or IDs.
- C. Update the Data Library Retriever to filter on a custom field on the Knowledge article.
正解:A
解説:
Comprehensive and Detailed In-Depth Explanation:
UC wants to restrict the "Answer Questions with Knowledge" action to a subset of Knowledge articles. Let's evaluate the options for scoping agent access.
* Option A: Define scope instructions to the agent specifying a list of allowed article titles or IDs.
Agent instructions in Agent Builder guide behavior but cannot enforce granular data access restrictions like a specific list of article titles or IDs. This approach is impractical and bypasses Salesforce's security model, making it incorrect.
* Option B: Update the Data Library Retriever to filter on a custom field on the Knowledge article.
While Data Library Retrievers in Data Cloud can filter data, this requires custom development (e.g., modifying indexing logic) and assumes articles are ingested with a custom field for filtering. This is less straightforward than native Knowledge features and not a standard option, making it incorrect.
* Option C: Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.Salesforce Knowledge uses Data Categories to organize articles (e.g., by topic or type). In Agentforce, when configuring a Data Library with Knowledge, you can apply Data Category filters to limit which articles the agent accesses. For the "Answer Questions with Knowledge" action, this ensures the agent only retrieves articles within the specified categories, aligning with UC's goal. This is a native, documented solution, making it the correct answer.
Why Option C is Correct:
Using Data Categories and filters in the Data Library is the recommended, scalable way to limit Knowledge article access for agent actions, as per Salesforce documentation.
References:
Salesforce Agentforce Documentation: Data Library > Knowledge Filters- Describes Data Category filtering.
Trailhead: Ground Your Agentforce Prompts- Covers limiting Knowledge scope.
Salesforce Help: Knowledge in Agentforce- Recommends categories for access control.
質問 # 26
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?
- A. Zero-data retention policy
- B. Data masking
- C. Dynamic grounding with secure data retrieval
正解:C
解説:
Dynamic grounding with secure data retrieval is a key feature in Salesforce'sEinstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allowsrelevant Salesforce datato be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
* Data maskingrefers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
* Zero-data retention policyensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
References:
* Salesforce Developer Documentation onEinstein Trust Layer
* Salesforce Security Documentation for AI andData Privacy
質問 # 27
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当社の製品を使用したこれらの人々は、Agentforce-Specialist学習教材を高く評価しています。製品を購入して真剣に検討することを決めた場合、簡単に試験に合格し、短時間でAgentforce-Specialist認定を取得することが非常に簡単になります。また、お客様の夢の実現をお手伝いします。ここで、Agentforce-Specialist学習教材を紹介する機会をください。私たちの紹介に貴重な時間を費やした後悔はありません。また、Agentforce-Specialist学習クイズは手頃な価格であるため、過剰に請求されることはありません。
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