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[Hardware] 試験の準備方法-100％合格率のAgentforce-Specialist復習対策試験-完璧なAgentforce-Specialist模擬トレーリング

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【Hardware】 試験の準備方法-100％合格率のAgentforce-Specialist復習対策試験-完璧なAgentforce-Specialist模擬トレーリング

Posted at yesterday 22:59      View：19 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S. Pass4Test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=12PD2okh6z_CpNBt_t7sEJh6INc4KgeFq
初心者にとって、Agentforce-Specialist試験に合格するのはそんなに難しいことですか？実は、我々Pass4TestのAgentforce-Specialist問題集を選んで利用し、お客様は力の限りまで勉強して、合格しやすいです。万が一パースしない場合には、弊社は全額返金を承諾いたします。返金を願うのに対して、お客様はAgentforce-Specialistに合格しない成績書を弊社に送付して、弊社は確認の後、支払い金額を全部返済します。
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 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.
トピック 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.
トピック 3
  • 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.
トピック 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.
トピック 5
  • 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.

ハイパスレートAgentforce-Specialist復習対策 | 最初の試行で簡単に勉強して試験に合格する & 有効的なSalesforce Salesforce Certified Agentforce SpecialistAgentforce-Specialist学習教材を世界中に確実に紹介し、幸運とより良い機会を求めるすべての人々が自分の人生の価値を実現できるようにするという大胆な考えを持っています。したがって、Agentforce-Specialist練習問題は、Agentforce-Specialist試験に合格し、より良い未来を勝ち取るのに役立ちます。また、常に先駆的な精神を持ち続け、あなたの道を歩むプロジェクトに積極的に取り組みます。 Agentforce-Specialistトレーニング資料は、その素晴らしい品質のためにあなたを決して失望させません。
Salesforce Certified Agentforce Specialist 認定 Agentforce-Specialist 試験問題 (Q127-Q132):質問 # 127
Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions.
Why should UC consider using Agentforce Sales Agent?
  • A. To automate the entire sales process for maximum efficiency
  • B. To track customer interactions for future analysis
  • C. To streamline the sales process and increase conversion rates
正解：C
解説：
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates.
It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
* Option A: While tracking customer interactions is beneficial, it is only part of the broader capabilities offered by Agentforce Sales Agent and is not the primary objective for improving real-time productivity.
* Option B: Agentforce Sales Agent does not automate the entire sales process but provides actionable recommendations to assist the sales team.
* Option C: This aligns with the tool's core purpose of enhancing productivity and driving sales success.
Reference:
"Einstein Next Best Action for Sales Teams | Salesforce Trailhead" .

質問 # 128
Universal Containers (UC) wants to ensure the effectiveness, reliability, and trust of its agents prior to deploying them in production. UC would like to efficiently test a large and repeatable number of utterances.
What should the Agentforce Specialist recommend?
  • A. Deploy the agent in a QA sandbox environment and review the Utterance Analysis reports to review effectiveness.
  • B. Leverage the Agent Large Language Model (LLM) UI and test UC's agents with different utterances prior to activating the agent.
  • C. Create a CSV file with UC's test cases in Agentforce Testing Center using the testing template.
正解：C
解説：
The goal of Universal Containers (UC) is to test its Agentforce agents for effectiveness, reliability, and trust before production deployment, with a focus on efficiently handling a large and repeatable number of utterances. Let's evaluate each option against this requirement and Salesforce's official Agentforce tools and best practices.
Option A: Leverage the Agent Large Language Model (LLM) UI and test UC's agents with different utterances prior to activating the agent.While Agentforce leverages advanced reasoning capabilities (powered by the Atlas Reasoning Engine), there's no specific "Agent Large Language Model (LLM) UI" referenced in Salesforce documentation for testing agents. Testing utterances directly within an LLM interface might imply manual experimentation, but this approach lacks scalability and repeatability for a large number of utterances.
It's better suited for ad-hoc testing of individual responses rather than systematic evaluation, making it inefficient for UC's needs.
Option B: Deploy the agent in a QA sandbox environment and review the Utterance Analysis reports to review effectiveness.Deploying an agent in a QA sandbox is a valid step in the development lifecycle, as sandboxes allow testing in a production-like environment without affecting live data. However, "Utterance Analysis reports" is not a standard term in Agentforce documentation. Salesforce provides tools like Agent Analytics or User Utterances dashboards for post-deployment analysis, but these are more about monitoring live performance than pre-deployment testing. This option doesn't explicitly address how to efficiently test a large and repeatable number of utterances before deployment, making it less precise for UC's requirement.
Option C: Create a CSV file with UC's test cases in Agentforce Testing Center using the testing template.The Agentforce Testing Center is a dedicated tool within Agentforce Studio designed specifically for testing autonomous AI agents. According to Salesforce documentation, Testing Center allows users to upload a CSV file containing test cases (e.g., utterances and expected outcomes) using a provided template. This enables the generation and execution of hundreds of synthetic interactions in parallel, simulating real-world scenarios.
The tool evaluates how the agent interprets utterances, selects topics, and executes actions, providing detailed results for iteration. This aligns perfectly with UC's need for efficiency (bulk testing via CSV), repeatability (standardized test cases), and reliability (systematic validation), ensuring the agent is production-ready. This is the recommended approach per official guidelines.
Why Option C is Correct:
The Agentforce Testing Center is explicitly built for pre-deployment validation of agents. It supports bulk testing by allowing users to upload a CSV with utterances, which is then processed by the Atlas Reasoning Engine to assess accuracy and reliability. This method ensures UC can systematically test a large dataset, refine agent instructions or topics based on results, and build trust in the agent's performance-all before production deployment. This aligns with Salesforce's emphasis on testing non-deterministic AI systems efficiently, as noted in Agentforce setup documentation and Trailhead modules.
References:
Salesforce Trailhead: Get Started with Salesforce Agentforce Specialist Certification Prep - Details the use of Agentforce Testing Center for testing agents with synthetic interactions.
Salesforce Agentforce Documentation: Agentforce Studio > Testing Center - Explains how to upload CSV files with test cases for parallel testing.
Salesforce Help: Agentforce Setup > Testing Autonomous AI Agents - Recommends Testing Center for pre- deployment validation of agent effectiveness and reliability.

質問 # 129
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should theAgentforce Specialistrecommend?
  • A. Reply Recommendations and Sales Summaries
  • B. Service Replies and Work Summaries
  • C. Service Replies and Case Summaries
正解：C
解説：
To improve the productivity of the service center, theAgentforce Specialistshould recommend theService RepliesandCase Summariesfeatures.
* Service Replieshelps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
* Case Summariesprovide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
* Work Summariesare not as relevant for direct customer service operations, andSales Summariesare focused on sales processes, not service center productivity.
For more information, seeSalesforce's Einstein Service Cloud documentationon the use of generative AI to assist customer service teams.

質問 # 130
Universal Containers wants to utilize Agentforce for Sales to help sales reps reach their sales quotas by providing AI-generated plans containing guidance and steps for closing deals. Which feature meets this requirement?
  • A. Find Similar Deals
  • B. Create Account Plan
  • C. Create Close Plan
正解：C
解説：
Universal Containers (UC) aims to leverage Agentforce for Sales to assist sales reps with AI-generated plans that provide guidance and steps for closing deals. Let's evaluate the options based on Agentforce for Sales features.
* Option A: Create Account PlanWhile account planning is valuable for long-term strategy, Agentforce for Sales does not have a specific "Create Account Plan" feature focused on closing individual deals.
Account plans typically involve broader account-level insights, not deal-specific closure steps, making this incorrect for UC's requirement.
* Option B: Find Similar Deals"Find Similar Deals" is not a documented feature in Agentforce for Sales. It might imply identifying past deals for reference, but it doesn't involve generating plans with guidance and steps for closing current deals. This option is incorrect and not aligned with UC's goal.
* Option C: Create Close PlanThe "Create Close Plan" feature in Agentforce for Sales uses AI to generate a detailed plan with actionable steps and guidance tailored to closing a specific deal. Powered by the Atlas Reasoning Engine, it analyzes deal data (e.g., Opportunity records) and provides reps with a roadmap to meet quotas. This directly meets UC's requirement for AI-generated plans focused on deal closure, making it the correct answer.
Why Option C is Correct:
"Create Close Plan" is a specific Agentforce for Sales capability designed to help reps close deals with AI- driven plans, aligning perfectly with UC's needs as per Salesforce documentation.
References:
Salesforce Agentforce Documentation: Agentforce for Sales > Create Close Plan - Details AI-generated close plans.
Trailhead: Explore Agentforce Sales Agents - Highlights close plan generation for sales reps.
Salesforce Help: Sales Features in Agentforce - Confirms focus on deal closure.

質問 # 131
An Agentforce Specialist created a Field Generation prompt template.
What should the Agentforce Specialist do to expose the template to the user?
  • A. Use a screen flow to associate the Field Generation prompt template.
  • B. Associate the template with the form field on the Lightning page.
  • C. Call a template using an autolaunched flow.
正解：B
解説：
The Field Generation prompt template type is specifically designed to enable generative AI within the context of a Salesforce record field. To expose this functionality to an end-user, the Agentforce Specialist must associate the template with the form field on the Lightning page (B). This is accomplished using the Lightning App Builder:
* The Agentforce Specialist first creates a custom field (often a Long Text Area or Rich Text Area) on the desired object to store the AI-generated output.
* In the Lightning App Builder for the object's Record Page, the Specialist selects the field component.
* In the properties panel for that field component, there is a setting (often a dropdown) to select an active Field Generation Prompt Template.
* Once associated, an Einstein icon (or "Generate" button) appears next to the field on the record page, allowing the user to click it to run the prompt, review the AI-generated content, and then decide to use it to populate the field.
Options A and C (using Flows) are methods for calling prompt templates to automate the generation of content or to ground the prompt with more complex data (like related list information). However, for the Field Generation prompt template to be exposed directly to the user for on-demand generation and manual review (the intended user experience for this template type), it must be bound to the field itself on the Lightning Record Page.
Simulated Exact Extract of AgentForce documents (Conceptual Reference):
"The Field Generation prompt template is surfaced to the user via the Lightning Record Page. After the prompt template is created and activated in Prompt Builder, the Agentforce Specialist must edit the Lightning Record Page in the Lightning App Builder. The key step is to select the target field component and, within its property panel, assign the Field Generation Prompt Template from the available dropdown menu. This action binds the generative AI capability directly to the field, displaying the 'Generate' button to the user to trigger the AI-assisted content creation upon the record." Simulated Reference: AgentForce Study Guide, Chapter 3: Prompt Builder, Section 3.2: Field Generation Deployment, p. 55.

質問 # 132
......
Agentforce-Specialist証明書を所有して、自分が有能であることを証明し、特定の分野で優れた実用的な能力を高めることができます。したがって、Pass4Testあなたは有能な人々とみなされ、尊敬されます。テストAgentforce-Specialist認定に合格すると、目標を実現するのに役立ちます。また、Agentforce-Specialistガイドトレントを購入すると、Agentforce-Specialist試験に簡単に合格できます。 Agentforce-Specialist試験問題は最も専門的な専門家によって書かれているため、Agentforce-Specialist学習教材の品質は素晴らしいです。そして、試験に合格するために、Salesforce Certified Agentforce Specialist学習ガイドを常に最新の状態に保ちます。
Agentforce-Specialist模擬トレーリング: https://www.pass4test.jp/Agentforce-Specialist.html
P.S.Pass4TestがGoogle Driveで共有している無料の2026 Salesforce Agentforce-Specialistダンプ：https://drive.google.com/open?id=12PD2okh6z_CpNBt_t7sEJh6INc4KgeFq
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