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便利なAgentforce-Specialist受験トレーリングと信頼できるAgentforce-Specialist受験対策

無料でクラウドストレージから最新のJpshiken Agentforce-Specialist PDFダンプをダウンロードする：https://drive.google.com/open?id=19OoIiRX9XNjoFNeGQuykzR5bwOvg7NbN

Jpshikenが提供した対応性の訓練問題をテストにして初めてSalesforceのAgentforce-Specialist認定試験に参加する受験者の最もよいな選択でございます。真実試験問題が似てるのを確保することができて一回合格するのは目標にしています。もし試験に失敗したら、弊社が全額で返金いたします。

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とData Cloud：このセクションでは、AI開発者のスキルを評価し、AgentforceとData Cloudの連携によって応答精度を向上させ、回答をパーソナライズする方法を説明します。また、Data Cloudのリトリーバーを活用したグラウンディングによって、エージェントのパフォーマンスを向上させます。

トピック 2

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シナリオに適したAgentforceのAI生成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、Agentforceの営業エージェントをいつ活用すべきかを判断することも含みます。

トピック 3

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本番環境へのエージェントのテストとデプロイについても説明します。

トピック 4

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の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などを網羅します。

トピック 5

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、それらをデジタルチャネルに接続するエージェントの構築に焦点を当てます。また、Service 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も取り上げます。

>> Agentforce-Specialist受験トレーリング <<

Agentforce-Specialist試験の準備方法｜効率的なAgentforce-Specialist受験トレーリング試験｜100％合格率のSalesforce Certified Agentforce Specialist受験対策

ほとんどの専門家は、Agentforce-Specialistのパフォーマンスが際立っていると感じた後、生地を追加するのが最適だと考えています。 Agentforce-Specialistガイド資料は、学習効率を大幅に改善できる学習システムを提供します。 Agentforce-Specialist学習教材を使用する過程で、指定された時間内に試験バンクに集中します。実際の試験時間を参照してAgentforce-Specialist練習時間を設定し、実際のAgentforce-Specialist試験環境と自信を構築します。

Salesforce Certified Agentforce Specialist 認定 Agentforce-Specialist 試験問題 (Q23-Q28):

質問 # 23
An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account.
Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?

A. Use merge fields to reference the default related list of opportunities.
B. Use formula fields to reference the Einstein related list of opportunities.
C. Use the merge fields to reference a custom related list of opportunities.

正解：A

解説：
In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by usingmerge fields.
Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, theAgentforce Specialistneeds to pull data from the default related list of Opportunitiesassociated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.
Option A (referencing a custom related list) and Option C (using formula fields with Einstein-related lists) do not align with the standard, practical grounding method for this task. Custom lists would require additional configurations not typically necessary for a basic use case, and formula fields are typically not used to directly fetch related list data for prompt generation in templates.The standard and straightforward method is using merge fields tied to the default related list of opportunities.
Salesforce References:
* Merge Fields in Templates:https://help.salesforce.com/s/articleView?id=000387601&type=1
* Grounding Data in Prompts:https://developer.salesforce.com/docs/atlas.en-us.salesforce_ai.meta
/salesforce_ai/grounding_data_prompts

質問 # 24
Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. TheAgentforce Specialistis tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production.
Which other configuration steps should theAgentforce Specialisttake in the sandbox that can be deployed to the production org?

A. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut.
B. From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout.
C. create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.

正解：A

解説：
* Context of the Question
* Universal Containers (UC) has a strict change management process that requires all possible configuration be completed in a sandbox and deployed to Production.
* Einstein Generative AI is already enabled in Production, and the "Einstein Work Summaries" permission set is already available in Production.
* TheAgentforce Specialistneeds to configureWork Summaries for Enhanced Messagingin the sandbox.
* What Can Actually Be Deployed from Sandbox to Production?
* Custom Fields: Metadata that is easily created in sandbox and then deployed.
* Quick Actions: Also metadata-based and can be deployed from sandbox to production.
* Layout Components: Page layout changes (such as adding the Wrap Up component) can be added to a change set or deployment package.
* Why Option C is Correct
* No Need to Turn on Einstein in Sandbox for Deployment: Einstein Generative AI is already enabled in Production; turning it on in the sandbox is typically a manual step if you want to test, but that step itself is not "deployable" in the sense of metadata.
* Permission Set Assignments(as in Option A) are not deployable metadata. You can deploy the Permission Set itself but not the specific user assignments. Since the question specifically asks
"Which other configuration steps should be takenin the sandboxthatcanbe deployed to the production org?", user assignment is not one of them.
* Why Not Option A or B?
* Option A: Mentions creating permission set assignments for agents. This cannot be directly deployed from sandbox to Production, as permission set assignments are user-specific and considered "data," not metadata.
* Option B: Mentions "Turn on Einstein." But Einstein Generative AI is already enabled in Production. Additionally, "Turning on Einstein" is typically an org-level setting, not a deployable metadata item.
* ConclusionThe main deployable items you can reliably create and test in a sandbox, and then migrate to Production, are:
* Custom Fields(Issue, Resolution, Summary).
* A Quick Actionthat updates those fields.
* Page Layout Changeto include the Wrap Up component.
Therefore,Option Cis correct and focuses on actions that are truly deployable as metadata from a sandbox to Production.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Trailhead:Work Summaries with Einstein GPTProvides an overview of how to configure Work Summaries, including the need for custom fields, quick actions, and UI components.
* Salesforce Documentation:Deploying Metadata Between OrgsExplains what can and cannot be deployed via change sets (e.g., custom fields, page layouts, quick actions vs. user permission set assignments).
* SalesforceAgentforce SpecialistStudy GuideOutlines which Einstein Generative AI and Work Summaries configurations are deployable as metadata.

質問 # 25
Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments.
Which Einstein Generative AI feature should An Agentforce recommend for this request?

A. Einstein Call Summaries
B. Einstein Video KPI
C. Einstein Conversation Insights

正解：A

解説：
Einstein Call Summaries is the best option for this scenario because it leverages Salesforce's AI capabilities to automatically summarize key details of video or voice calls. It includes details like deal terms, customer sentiments, follow-up tasks, and other crucial information. This feature is designed to help sales teams focus on their strategies rather than taking extensive manual notes during conversations.
* Einstein Call Summaries:Automatically generates summaries for calls, identifying critical points such as next steps and follow-ups, enhancing efficiency and understanding of deal progression.
* Einstein Conversation Insights:While it provides insights into customer sentiment and engagement, it is more suited for analyzing patterns across conversations rather than summarizing specific call details.
* Einstein Video KPI:Focuses on analyzing key performance indicators within video calls but does not offer summarization features needed for deal terms or sentiment tracking.
This feature ensures actionable insights are delivered directly into the Salesforce CRM, allowing sales managers to gain a concise overview without manually reviewing long recordings.

質問 # 26
When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?

A. Einstein Service Replies
B. Einstein Grounding
C. Einstein Reply Recommendations

正解：A

解説：
When acustomer chat is initiated,Einstein Service Repliesprovidesgenerative AI replies or draft emails based on recommendedKnowledge articles. This feature uses the information from theSalesforce Knowledge baseto generate responses that are relevant to the customer's query, improving the efficiency and accuracy of customer support interactions.
* Option Bis correct becauseEinstein Service Repliesis responsible for generating AI-driven responses based on knowledge articles.
* Option A(Einstein Reply Recommendations) is focused on recommending replies but does not generate them.
* Option C(Einstein Grounding) refers to grounding responses in data but is not directly related to drafting replies.
:
Einstein Service Replies Overview:https://help.salesforce.com/s/articleView?id=sf.einstein_service_replies.
htm

質問 # 27
A customer service representative is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related to this Itinerary. The representative needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agentforce capability helps the representative accomplish this?

A. Invoke a flow which makes a call to external data to create a Knowledge article.
B. Generate Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
C. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.

正解：C

解説：
Comprehensive and Detailed In-Depth Explanation:
The scenario involves a customer service representative needing to cancel flights due to a weather alert and review existing Knowledge articles for guidance on canceling and rebooking. Agentforce provides capabilities to streamline such tasks. The most suitable option isOption B, which allows the agent to "execute tasks based on available actions" (e.g., canceling flights via a predefined action) while "answering questions using information from accessible Knowledge articles." This capability leverages Agentforce's ability to integrate Knowledge articles into the agent's responses, enabling the representative to ask questions (e.g.,
"How do I cancel a flight?") and receive AI-generated answers grounded in approved Knowledge content.
Simultaneously, the agent can trigger actions (e.g., a Flow to update the custom object) to perform the cancellations, meeting all requirements efficiently.
* Option A: Invoking a Flow to call external data and create a Knowledge article is unnecessary. The representative needs toreview existing articles, not create new ones, and there's no indication external data is required for this task.
* Option B: This is correct. It combines task execution (canceling flights) with Knowledge article retrieval, aligning with the representative's need to act and seek guidance from existing content.
* Option C: Generating a new Knowledge article based on prompts is not relevant. The representative needs to use existing articles, not author new ones, especially in a time-sensitive weather alert scenario.
Option B best supports the representative's workflow in Agentforce.
:
Salesforce Agentforce Documentation: "Knowledge Replies and Actions" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_knowledge_replies.htm&type=5) Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce-for- service)

質問 # 28
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最高のサービスを提供することを義務と考えています。そのため、患者の同僚が24時間年中無休でサポートを提供し、Agentforce-Specialist実践教材に関する問題をすべて解決します。あなたが私たちを必要とする限り、私たちは思いやりのあるサービスを提供しています。それに、一生懸命努力しながら失敗することは不名誉ではありません。残念ながらAgentforce-Specialistスタディガイドで試験に不合格になった場合、他のバージョンに切り替えるか、今回は不合格であると仮定して全額返金し、不合格書類で証明します。あなたの能力を過小評価しないでください。Agentforce-Specialistの実際のテストを試みている間、私たちはあなたの最強のバックアップになります。

Agentforce-Specialist受験対策: https://www.jpshiken.com/Agentforce-Specialist_shiken.html

P.S. JpshikenがGoogle Driveで共有している無料かつ新しいAgentforce-Specialistダンプ：https://drive.google.com/open?id=19OoIiRX9XNjoFNeGQuykzR5bwOvg7NbN