当社Microsoftの製品はデモを提供するため、AB-410 prepトレントを完全に理解できます。製品のページにアクセスして、製品のバージョン、AB-410テストブレインダンプの特性とメリット、製品の価格、割引を知ることができます。また、詳細の紹介と、お客様が読むことができるAB-410準備急流の保証もあります。また、当社への連絡方法や、AB-410テストブレインダンプに関する他のクライアントの評価を知ることもできます。 AB-410スタディグードの合格率は99％〜100％なので、AB-410試験に合格します。
| Section | Weight | Objectives |
|---|---|---|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
| Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
最短時間でAB-410試験に合格し、関連する認定資格を取得する場合、当社のAB-410トレーニング資料を選択することは、すべての人々の利益になります。あなたのAB-410試験に合格し、想像を超える最短時間で関連する認定資格を取得することが非常に簡単になることを確認できます。ウェブからAB-410認定トレーニング資料の手順を知ることができます。また、AB-410試験問題のデモを無料でダウンロードして、支払い前に確認することもできます。
質問 # 70
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
- Generate the summary immediately when the agent selects a button in
the app.
- Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：D、E
解説：
To fulfill your requirements, you should take the following two steps: Invoke the prompt directly from app logic and Pass user input as parameters to the prompt.
Invoke the prompt directly from app logic: Power Apps canvas apps allow you to call Dataverse custom prompts directly using the AIClassify, AISentiment, or AISummarize functions (or your specific custom prompt action) right from a button's OnSelect property. This fulfills the requirement to generate the summary immediately without the added latency or overhead of triggering a Power Automate cloud flow.
Pass user input as parameters to the prompt: To satisfy the requirement of using current user- entered data, you must map the text from your app's input fields (e.g., TextInput1.Text) directly into the input parameters defined within your custom prompt.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-app
質問 # 71
You need to implement a generative AI solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
正解：A、D
解説：
The solution should use a prebuilt AI capability where it satisfies the complaint-processing requirement and create the generative prompt from blank for the organization-specific inspection report. Using a prebuilt model minimizes custom model development and training effort, which directly reflects the stated constraint.
A blank custom prompt gives the maker control over the inspection template, instructions, inputs, tone, and output format required by the business. Starting from a prompt template can accelerate common scenarios, but the case requires alignment to an existing custom inspection format; a blank prompt avoids carrying irrelevant template assumptions and permits deliberate grounding. Building a custom trained model would add data preparation, training, validation, and lifecycle overhead that the requirement seeks to minimize. The prompt should define required inputs explicitly and be tested with representative data to prevent the inconsistent output problem identified in the case. The Study Guide covers "build prompts from templates or from blank,"
"add inputs to a prompt," and consumption of AI capabilities in apps and flows. Options A and C provide the lowest-custom-development design that still supports the specific generative output.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts and consume AI capabilities." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 72
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.
The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.
You need to select the available knowledge source for the prompt.
What should you use?
正解：C
質問 # 73
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
# Generate the summary immediately when the agent selects a button in the app.
# Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
正解：D、E
解説：
The app should pass the current user-entered values as prompt parameters and invoke the prompt directly from the button's Power Fx logic. Parameters ensure that the generated summary is grounded in the text currently displayed in the app rather than stale or hard-coded data. Direct invocation from the button provides the immediate interactive behavior required by the scenario. A cloud flow can also consume a prompt, but it adds an orchestration layer that is u nnecessary when the requirement is limited to a synchronous canvas-app interaction. Publishing the prompt is part of making a completed component available, but it does not execute the prompt or provide the current input. Updating general app settings is unrelated. The button formula should validate blank content, handle errors, and place the returned summary in a variable or control only after a successful response. The prompt's inputs and output should be typed and tested for expected maximum lengths. The Study Guide explicitly includes "add inputs to a prompt" and "consume a prompt in apps." Options B and C meet those two runtime responsibilities.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
Topic 1, Fabrikam Inc
Background
Fabrikam Inc. is an energy provider that operates wind and solar farms across multiple countries and regions.
The company uses Microsoft Power Platform to manage asset maintenance, technician workflows, and predictive analytics.
Field technicians use canvas apps on mobile devices to capture inspection and repair data. Operations managers use model-driven apps to monitor asset performance and maintenance history.
The company plans to enhance its platform by introducing AI-driven insights, improving reuse across applications, and establishing a formal application lifecycle management (ALM) strategy.
Current environment
Applications
Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.
Operations managers use a model-driven app to review maintenance records and asset performance trends.
Development practices
Developers build and modify applications directly in the production environment.
There is NO structured ALM process.
Solutions are NOT consistently used to package or deploy application components.
Reusable components are inconsistently implemented across apps, leading to duplication.
AI integration
Fabrikam Inc. plans to actively explore generative AI usage as part of the next phase of work.
Business requirement
Application development
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only. In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Apps must support efficient data entry for technicians in the field.
Reusable UI elements must be implemented to reduce duplication.
AI capabilities
The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
Customer complaint responses must be generated in applications and based on emails being sent to a mailbox.
Custom AI development must be minimized.
Generative AI reusability
Generative AI solutions must accept dynamic inputs to adapt to different scenarios.
Generative AI solutions must be reusable across different Power Platform services.
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
Technical requirements
Application lifecycle management (ALM)
Separate environments must be used for development, testing, and production.
Solutions must be used to package application components, segmented based on functional areas.
Managed solutions must be deployed to the production environment.
Validation must occur before deployment to production.
Data processing
Aggregated values across related rows must be displayed for reporting.
Calculations must update automatically as new data is entered. Calculation data must be limited to a maximum length of 10.
Issues
Duplicate logic exists across multiple canvas apps.
Developers frequently overwrite changes in production.
Generative AI solutions produce inconsistent outputs due to missing or inconsistent inputs.
Maintenance metrics are not consistently calculated across related rows.
質問 # 74
Hotspot Question
A company plans to use Microsoft Dataverse to manage sales opportunities. Records will contain confidential financial data that should only be accessible to specific groups of employees.
You have the following requirements:
- Sales representatives must only view and update records they create.
- Sales managers must have visibility into all opportunities within
their organization.
You need to configure security.
Which configuration should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: User-level access
To meet the requirement where sales representatives can only view and update records they create, you must grant User-level (Basic) write and read access via Microsoft Dataverse security roles.
Box 2: Organization-level access
To meet your requirement, sales managers must be granted Organization-level Read access (also known as Global access) through their security role for the Opportunity table in Microsoft Dataverse.
Reference:
https://learn.microsoft.com/en-us/power-platform/admin/wp-security-cds
質問 # 75
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AB-410出題内容: https://www.shikenpass.com/AB-410-shiken.html