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Salesforce-AI-Specialistテスト資料、Salesforce-AI-Specialist更新版

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Salesforce Salesforce-AI-Specialist 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Einstein Trust Layer: このセクションでは、セキュリティプロトコルの実装とデータプライバシーの保護を担当する Salesforce AI スペシャリストのスキルを評価します。Einstein Trust Layer のセキュリティ、プライバシー、および基本機能に重点が置かれています。

トピック 2

CRM アプリケーションにおける生成 AI: 試験のこの部分では、CRM システム内の生成 AI に関する AI スペシャリストの知識を評価します。Einstein for Sales および Einstein for Service における生成 AI 機能の使用について取り上げます。

トピック 3

Agentforce ツール: このトピックでは、AI スペシャリストが適切な場合にエージェントを使用して知識を獲得します。さらに、このトピックでは、エージェントの動作と Agentforce の推論エンジンについて説明します。最後に、このトピックでは、エージェントの採用の管理と監視に焦点を当てます。

トピック 4

プロンプトビルダー: このセクションでは、Salesforce の AI ツールを扱う AI スペシャリストの専門知識を評価します。プロンプトビルダー機能に重点を置き、候補者はビジネスニーズに基づいてその使用方法を理解する必要があります。

トピック 5

モデルビルダー: 試験のこの部分では、Salesforce 環境内で AI モデルを操作する Salesforce AI スペシャリストの専門知識に重点が置かれています。受験者は、モデルビルダーを使用するタイミングと、ビジネスニーズを満たすために標準、カスタム、または Bring Your Own Large Language Model (BYOLLM) 生成モデルを構成する方法に関する知識を証明する必要があります。

>> Salesforce-AI-Specialistテスト資料 <<

Salesforce-AI-Specialist更新版、Salesforce-AI-Specialist模擬トレーリング

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Salesforce Certified AI Specialist Exam 認定 Salesforce-AI-Specialist 試験問題 (Q147-Q152):

質問 # 147
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the AI Specialist investigate as the root cause?

A. Review that the custom action Is assigned to an Agent.
B. Review the action Instructions to ensure they are unique.
C. Ensure the input and output types are correctly chosen.

正解：B

解説：
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
* Review Action Instructions: Ensure each custom action has distinct, context-specific instructions. For example:
* Action 1: "Summarize quarterly sales by region."
* Action 2: "Generate a product-wise sales breakdown for the current fiscal year."
* Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
* Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
* Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
Why Other Options Are Incorrect:
* A. Assigning actions to an agent is irrelevant, as custom actions are automated bot components.
* C. Input/output types relate to data formatting, not intent routing. While important for execution, they don't resolve utterance mismatches.
References:
* Einstein Bot Developer Guide: Stresses the need for unique action instructions to avoid intent conflicts.
* Trailhead Module: "Build AI-Powered Bots with Einstein" highlights instruction specificity for accurate action triggering.
* Salesforce Help Documentation: Recommends testing and refining action instructions to ensure clarity in utterance mapping.

質問 # 148
When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.
Which information does the Resolution text provide?

A. It shows which sensitive data is masked before it is sent to the LLM.
B. It shows the response from the LLM based on the sample record.
C. It shows the full text that is sent to the Trust Layer.

正解：B

解説：
When previewing a prompt template in Salesforce, the Resolution text provides the response from the LLM (Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.
Option B is correct because Resolution displays the actual response generated by the LLM.
Option A refers to sending the text to the Trust Layer, but that's not what Resolution represents.
Option C relates to data masking, which is shown elsewhere, not under Resolution.
Reference:
Salesforce Prompt Builder Overview: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm

質問 # 149
Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting.
Which business requirement would lead an AI Specialist to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?

A. UC wants to change the frequency penalty of the model.
B. UC wants to fine-tune model temperature.
C. UC wants a model fine-tuned using company data.

正解：C

解説：
Einstein Studio (Model Builder) allows organizations to connect and utilize external foundational models while fine-tuning them with company-specific data. This capability is particularly suited to businesses like Universal Containers (UC) that require customization of foundational models to better align with their unique data and use cases.
* Option A: Adjusting model temperature is a parameter-level setting for controlling randomness in AI- generated responses but does not necessitate connecting to an external foundational model.
* Option B: This is the correct answer because Einstein Studio supports fine-tuning external models with proprietary company data, enabling a tailored and more accurate AI solution for UC.
* Option C: Changing frequency penalties is another parameter-level adjustment and does not require external foundational models or Einstein Studio.

質問 # 150
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template.
Which flow element should UC use?

A. Add Flex Instructions
B. Add Flow Instructions
C. Add Prompt Instructions

正解：B

解説：
* Context of the Question
* Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
* "Flex Prompt Templates" allow admins and AI Specialists to incorporate external or dynamic data into generative AI prompts.
* Why "Add Flow Instructions" Is Needed
* Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.
* Other Options:
* Add Flex Instructions: Typically controls how the AI responds or structures the output, not how to bring Flow data into the template.
* Add Prompt Instructions: Usually for static or manual instructions that shape the AI's response, rather than referencing dynamic data from the Flow.
* Outcome
* "Add Flow Instructions" ensures the prompt can dynamically use the data that the Flow returns- makingOption Ccorrect.
Salesforce AI Specialist References & Documents
* Salesforce Help & Training:Using Prompt Templates with FlowExplains how to pass Flow variables into a prompt template via a specialized step (e.g., "Flow Instructions").
* Salesforce AI Specialist Study GuideOutlines how to configure generative AI prompts that reference real-time Flow data.

質問 # 151
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.
Which steps should an AI Specialist take to use the content of the standard prompt email template in question andcustomize it to fully meet thebusiness requirements?

A. Save as New Version and edit as needed.
B. Clone the existing template and modify as needed.
C. Save as New Template and edit as needed.

正解：B

解説：
When an active standard email prompt template doesn't meet the business requirements, the best approach is toclone the existing templateand modify it as needed. Cloning allows the AI Specialist to preserve the original template while making adjustments to fit specific business needs. This ensures that any customizations are applied without altering the original standard template.
Saving as a new versionis typically used for versioning changes in the same template, whileSave as New Templatecreates a brand-new template without linking to the existing one.Cloningprovides a balance, allowing modifications while retaining the original structure for future reference.
For more details, refer toSalesforce Prompt Builder documentationfor guidance on cloning and modifying templates.

質問 # 152
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