AI-201出題範囲 & AI-201勉強ガイド

参考のためにいくつかの利点を提供しています。一方では、AI-201学習の質問により、作業スタッフが顧客の多様で進化する期待を理解し、その理解を戦略に取り入れることで、AI-201試験エンジンを100％信頼できます。一方、プロのAI-201学習資料が高い合格率を決定します。調査統計によると、当社製品を使用した後の99％の候補者がAI-201試験に合格したことを自信を持って伝えることができます。

Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	30%	- Prompt Builder & Template Creation 1. Best practices - Agentforce AI Setup & Configuration 1. Advanced implementation strategies
Topic 2: Reasoning Engine & AI Actions		- Workflow mastery 1. Custom Agent actions (Flows) 2. Custom Agent actions (Apex) 3. Standard Agent actions
Topic 3: Einstein Trust Layer & Security		- Data Masking 1. Configuration of privacy data entities - Trust Layer & Security Features 1. Enterprise-grade deployment
Topic 4: Agent Force Concepts	30%	- Einstein GPT Integration 1. Advanced implementation strategies - Data Cloud & Grounding Techniques 1. Real-world applications

>> AI-201出題範囲 <<

AI-201勉強ガイド、AI-201日本語版問題集

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Salesforce Certified Agentforce Specialist 認定 AI-201 試験問題 (Q122-Q127):

質問 # 122
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. In the score of 1 indicate?

A. The response is not toxic.
B. The response is the most toxic.
C. The response is the least toxic Einstein Generative AI Toxicity Scoring system, what does a toxicity category.

正解：B

解説：
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators.

質問 # 123
Universal Containers (UC) is preparing and defining success criteria for Agentforce Testing Center test cases. Which details should UC specify as the expected output to ensure the tests accurately reflect the agent's functionality?

A. Expected Topic API Name
B. Expected Prompt Template Name
C. Expected Flow API Name

正解：A

解説：
According to the AgentForce Testing Center Reference Guide, each test case in the Testing Center should define a clear expected output to validate that the agent selects and executes the correct topic in response to a given user utterance.
The Expected Topic API Name acts as the validation reference -- it ensures that the reasoning engine correctly classifies the user's intent and routes the conversation to the appropriate topic.
This allows the test to confirm end-to-end functionality, from intent detection to action execution.

質問 # 124
An Agentforce Specialist builds a new Service Agent that uses a custom action built on a flow.
The agent has been tested in a sandbox and is now ready to deploy. What is a key consideration regarding the activation status of the agent in the production environment?

A. The agent must be manually activated in production, regardless of its status in the sandbox.
B. The agent will automatically be activated upon successful deployment.
C. The agent will be activated automatically only if the flow is also active.

正解：A

解説：
According to the AgentForce Deployment and Lifecycle Management Guide, when an agent is deployed from a sandbox to a production environment, activation does not carry over automatically. The documentation clarifies: "Each environment maintains its own activation state.
Agents must be manually activated in production after deployment to ensure controlled rollout and compliance validation."

質問 # 125
Coral Cloud Resorts wants to handle frequent customer misspellings of package names in queries. Which approach should the Agentforce Specialist implement?

A. Vector search
B. Keyword search
C. Hybrid search

正解：A

解説：
The AgentForce Retrieval and Semantic Search Guide explains that vector search (semantic search) is best suited for handling spelling variations, synonyms, and phonetically similar queries.
The documentation states:
"Vector search enables fuzzy matching through semantic embeddings, allowing retrieval of relevant documents even when user queries contain typos, abbreviations, or informal phrasing."

質問 # 126
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set. The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production. What is the most likely cause of this issue?

A. The change set did not include the dependent Apex classes for the flow.
B. The flow was not manually activated in the production org after the deployment.
C. The user in production does not have permission to run the flow.

正解：B

解説：
Per the AgentForce Deployment and Flow Integration Guide, when deploying flows via change sets, the flows arrive in the production org in "inactive" status by default. The administrator must manually activate the flow post-deployment before it can be executed by agents or users.
This explains why the agent encounters an error when attempting to run the flow--the system recognizes the flow but cannot invoke it because it remains inactive.

質問 # 127
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