AI-201資格試験、AI-201練習問題、AI-201過去問、Salesforce Certified Agentforce Specialist問題と解答

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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Einstein Trust Layer & Security | | - Data Masking
- 1. Configuration of privacy data entities
- Trust Layer & Security Features
- 1. Enterprise-grade deployment
|
| Reasoning Engine & AI Actions | | - Workflow mastery
- 1. Custom Agent actions (Flows)
- 2. Custom Agent actions (Apex)
- 3. Standard Agent actions
|
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
- 1. Advanced implementation strategies
- Prompt Builder & Template Creation
|
| Agent Force Concepts | 30% | - Einstein GPT Integration
- 1. Advanced implementation strategies
- Data Cloud & Grounding Techniques
- 1. Real-world applications
|
>> AI-201認定内容 <<
実際的AI-201|ユニークなAI-201認定内容試験|試験の準備方法Salesforce Certified Agentforce Specialist復習資料
夢を持ったら実現するために頑張ってください。「信仰は偉大な感情で、創造の力になれます。」とゴーリキーは述べました。私の夢は最高のIT専門家になることです。その夢は私にとってはるか遠いです。でも、成功へのショートカットがを見つけました。JpshikenのSalesforceのAI-201試験トレーニング資料を利用して気楽に試験に合格しました。それはコストパフォーマンスが非常に高い資料ですから、もしあなたも私と同じIT夢を持っていたら、JpshikenのSalesforceのAI-201試験トレーニング資料を利用してください。それはあなたが夢を実現することを助けられます。
Salesforce Certified Agentforce Specialist 認定 AI-201 試験問題 (Q216-Q221):
質問 # 216
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. The Agentforce Specialist is 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 the Agentforce Specialist take 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: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.
- 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: and ado the Wrap up component to the Messaging session record page lavcut.
正解:C
解説:
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.
The Agentforce Specialist needs to configure Work Summaries for Enhanced Messaging in 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.
質問 # 217
Universal Containers (UC) wants to implement an AI-powered customer service agent that can:
- Retrieve proprietary policy documents that are stored as PDFs.
- Ensure responses are grounded in approved company data, not generic
LLM knowledge.
What should UC do first?
- A. Expand the AI agent's scope to search all Salesforce records.
- B. Add the files to the content, and then select the data library option.
- C. Set up an Agentforce Data Library for AI retrieval of policy documents.
正解:C
解説:
To implement an AI-powered customer service agent that retrieves proprietary policy documents (stored as PDFs) and ensures responses are grounded in approved company data, UC must first establish a foundation for the AI to access and use this data. The Agentforce Data Library (Option A) is the correct starting point. A Data Library allows UC to upload PDFs containing policy documents, index them into Salesforce Data Cloud's vector database, and make them available for AI retrieval. This setup ensures the agent can perform Retrieval-Augmented Generation (RAG), grounding its responses in the specific, approved content from the PDFs rather than relying on generic LLM knowledge, directly meeting UC's requirements.
質問 # 218
Universal Containers plans to enhance the customer support team's productivity using AI. Which specific use case necessitates the use of Prompt Builder?
- A. Estimating support ticket volume based on historical data and seasonal trends
- B. Creating an Al-generated customer support agent performance score
- C. Creating a draft of a support bulletin post for new product patches
正解:C
解説:
The use case that necessitates the use of Prompt Builder is creating a draft of a support bulletin post for new product patches. Prompt Builder allows the Agentforce Specialist to create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details.
質問 # 219
An Agentforce is creating a custom action in Agent. Which option is available for the Agentforce Specialist to choose for the custom copilot action?
- A. SOQL
- B. Flows
- C. Apex trigger
正解:B
解説:
When creating a custom action in Agent, one of the available options is to use Flows. Flows are a powerful automation tool in Salesforce, allowing the Agentforce Specialist to define custom logic and actions within the Copilot system. This makes it easy to extend Copilot's functionality without needing custom code.
While Apex triggers and SOQL are important Salesforce tools, Flows are the recommended method for creating custom actions within Agent because they are declarative and highly adaptable.
質問 # 220
An Agentforce Specialist is creating a custom action in Agentforce. Which option is available for the Agentforce Specialist to choose for the custom Agent action?
- A. SOQL
- B. Flows
- C. Apex Trigger
正解:B
解説:
The Agentforce Specialist is defining a custom action for an Agentforce agent in Agent Builder.
Actions determine what the agent does (e.g., retrieve data, update records).
質問 # 221
......
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