AB-410無料ダウンロード & AB-410試験解説

AB-410試験の準備をするとき、がむしゃらにITに関連する知識を学ぶのは望ましくない勉強法です。実際は試験に合格するコツがあるのですよ。もし試験に準備するときに良いツールを使えば、多くの時間を節約することができるだけでなく、楽に試験に合格する保障を手にすることもできます。どんなツールかと聞きたいでしょう。それはもちろんFast2testのAB-410問題集ですよ。

Microsoft AB-410 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Build intelligent apps with Copilot and agents30%- Create and manage agents with Copilot Studio
  • 1. Connect agents to data and services
  • 2. Design agent logic and conversation flows
- Integrate Copilot into canvas and model-driven apps
  • 1. Configure Copilot features and prompts
  • 2. Customize Copilot responses and behavior
Topic 2: Extend and secure intelligent solutions20%- Deploy, monitor, and maintain solutions
  • 1. Monitor performance and usage
  • 2. Manage solution lifecycle
- Secure access and data
  • 1. Configure roles and permissions
  • 2. Apply data protection policies
Topic 3: Create a foundation for intelligent applications28%- Design solutions using AI-enabled tools
  • 1. Analyze requirements and select components
  • 2. Evaluate built-in agents and AI capabilities
  • 3. Recommend environment and ALM strategies
- Implement responsible AI principles
  • 1. Ensure transparency and fairness
  • 2. Apply governance and compliance rules
Topic 4: Enhance solutions with AI and automation22%- Build automation with Power Automate
  • 1. Design flows using natural language
  • 2. Add AI actions and triggers
- Use AI Hub models and pre-built capabilities
  • 1. Implement text, image, and document processing
  • 2. Integrate generative AI features

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Microsoft Building Intelligent Applications 認定 AB-410 試験問題 (Q20-Q25):

質問 # 20
An organization deploys an AI application handling customer information. The company must ensure transparency regarding AI-generated decisions and provide explanations to users. Which responsible AI principle applies?

正解:B

解説:
Transparency is a responsible AI principle focused on explaining how AI systems operate and how decisions are produced. Users should understand when AI is involved and receive appropriate information about outcomes. Hardware optimization and compression improve technical performance but do not address ethical requirements or user understanding.


質問 # 21
You are designing forms for a model-driven app. Account managers use the app to access customer records.
The account managers require the following app functionality:
- Allow users to edit the row directly within the form.
- Access information from a row on a related table.
You need to configure form components.
Which actions should you perform? You may use each action once, more than once, or not at all.
Exhibit:

正解:

解説:

Explanation:
Edit the current row - Configure the main form layout; Access related table records - Add a subgrid for related rows.
Microsoft Power Apps model-driven applications use main forms to provide structured interfaces for viewing and modifying Dataverse records. Configuring the main form layout allows account managers to edit fields associated with the current customer record, including contact information, account details, and other business attributes. Main forms support tabs, sections, controls, and configurable field properties. To provide access to records from related tables, developers can add a subgrid component. A subgrid displays records based on a configured Dataverse relationship and allows users to open related records for additional information or editing. For situations requiring inline editing, an editable grid control can be configured where supported.
Quick view forms provide another option when the requirement is to display read-only information from a single related record. These components improve navigation and data accessibility within model-driven applications.


質問 # 22
A company develops an AI solution that extracts information from images, understands text, and generates responses. The architecture should combine multiple AI capabilities through managed services. Which design approach is recommended?

正解:B

解説:
Modern intelligent applications commonly combine specialized AI services rather than relying on a single capability. For example, vision services can process images, language services can analyze text, and generative models can create responses. Composable architectures improve scalability, maintainability, and flexibility while allowing each service to handle its optimized workload.


質問 # 23
Case Study 1 - Contoso, Ltd
Background
Contoso Ltd. is a global renewable energy provider that operates wind farms and solar installations. The company is modernizing its maintenance and operations platform. The company plans to implement a Microsoft Power Platform solution for the operations team. The implementation will include Microsoft Dataverse, a model-driven app, and Power Automate cloud flows.
The company is building and testing a new model-driven app named Operations. The solution will support operations managers, regional coordinators, and field technicians. The app must integrate with an external cloud-based system that manages onboarding of field technicians.
Contoso Ltd. plans to improve data quality and enforce consistent business logic across the app and automation processes.
Technical environment
Contoso Ltd. has an Identity and Access Management (IDAM) department that manages security.
The company has one Power Platform environment named Production, where all building and configuration take place. Auditing is disabled.
The Production environment has the following security configurations:
- IDAM has a Microsoft Entra security group named Contoso Ltd. QA. This security group will assign all members a Power Apps license.
- IDAM created a Quality Assurance security role that grants read and write access to all custom tables.
- IDAM also created a team named Testers in Dataverse, of a Microsoft Entra group team type.
The team is configured for the Contoso Ltd. QA security group. The Testers team is assigned the Quality Assurance security role.
Microsoft 365 environment
All Contoso Ltd. managers are included in a Microsoft 365 group named Managers. The group is NOT enabled for email.
The company shares a SharePoint list with a key customer: Alpine Ski House. Alpine Ski House staff members can add new maintenance requests, which are then checked and marked as reviewed by Contoso Ltd.
Current issue:
A new QA tester joins Contoso Ltd. The IDAM department adds the new tester to the Contoso Ltd. QA security group. However, the new tester is not listed in the Testers team as a member.
Other applications:
A separate software-as a-service (SaaS) solution named TechCheck manages technician onboarding. The TechCheck solution is set up as follows:
- TechCheck assigns a unique number named Ref to all technicians.
- Users cannot make changes to the TechCheck data model.
- Users cannot use the same TechCheck ref on more than one Technician row.
Automation requirements
Contoso plans to use Power Automate to develop a Maintenance Request Approval flow. The flow must meet the following requirements:
- Create a Maintenance Request row in Dataverse when either of the following occurs:
- An item is added to the SharePoint list by the customer with the Priority property set to High.
- Any item is checked and marked as reviewed by a Contoso Ltd. representative.
- Seek maintenance request approvals from managers through both email and a Microsoft Teams message after they have been reviewed:
- Requests require approval from all managers.
- If one manager rejects the request, approval must not be granted.
- The result of the approval request must be sent to the initial reviewer in an email. The subject line must set the response as either Approve or Reject.
Contoso Ltd. requires the following table logic:
- If a user tries to enter a price greater than the cost on a new Asset row, the row must display an inline error message.
- If a user tries to save changes to a Technician row where the TechCheck ref column is empty, the action must be prevented and a message explaining the action must be displayed.
Any updates made to Technician profiles in TechCheck must be mirrored in Dataverse by using a custom integration. The developers building the integration require an index for performant searches on the Technician table.
Data model and app design
Contoso Ltd. plans to use Dataverse as its central data platform. Log storage must be minimized.
Tables
The following tables are required for data modeling and the app design:
- Assets: Stores information about solar panels and wind turbines
- Maintenance Requests: Tracks issues and maintenance activities. The table must include the following columns:
- Request ID (auto-number)
- External Request Code (text)
- Assigned
- Technician (lookup to Technicians)
- Report (lookup to Maintenance Reports)
- Technician updated (Yes/No)
- Maintenance Reports: Tracks the results of maintenance reports
- Technicians: Stores technician assignment data. The table must include the following columns:
- Full Name (Text)
- Mobile phone number (Text)
- Email (Text)
- Seniority (Choice)
- TechCheck ref (Text)
Data modeling
The data model must provide the following functionality:
- Maintenance Requests must:
- be uniquely identifiable across systems.
- have two inactive statuses, Cancelled and Duplicate.
- If a new option is added to an existing set of options, it must be made available automatically for selection on all columns that use the set.
- A new column named Priority must be added to multiple tables. Users must be able to select only one option from the following set per row:
- Low
- Medium
- High
- Critical
Changes to the Technician column on Maintenance Requests must be tracked for compliance purposes. Rows must include the names of previous and current technicians and the time of the change.
Relationship requirements
- One asset can be related to many maintenance requests. A maintenance request can have many assets.
- A maintenance request can have only zero or one maintenance report.
- Only one Technician can be related to a Maintenance Request at a time.
- When a Maintenance Request is deleted, any Maintenance Reports associated with it must also be deleted, but this action should be prevented if there is value in the Technician lookup.
- When a Maintenance Request is assigned to a different owner, the Maintenance Report associated with it must be reassigned to the new owner as well, but the associated Technician should stay with the current owner.
App design
The Technicians table contains the following public views:
- Senior Technicians
- Junior Technicians
The Senior Technician view must be available through the table list view selector to a set of specific users only.
A tester creates a personal view named Hot Assets on the Assets table. The tester recognizes that the view is useful for the entire testing team. The view must be made accessible to the team.
You need to add the Priority column to the Maintenance Request table. Which column type should you use?

正解:B

解説:
The most appropriate column type for storing priorities with these specific values is a global choice (or a local choice if the priority list is completely unique to this table). Between the two choice options, a global choice is generally preferred in Dataverse for standard attributes like priority so that the same definition can be reused consistently across multiple tables (e.g., Tasks, Cases, and Projects).
Scenario:
A new column named Priority must be added to multiple tables. Users must be able to select only one option from the following set per row: Low, Medium, High, Critical.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/formula-columns?tabs=type-or-paste


質問 # 24
A company is implementing uniform data validation across multiple forms.
The company has the following business logic requirements:
- Enforce validation across multiple forms.
- Minimize logic duplication.
You need to implement business logic.
What are three approaches you can use? Each correct answer presents a complete solution.
(Choose three.)
NOTE: Each correct selection is worth one point.

正解:B、C、E

解説:
Use Business rules, Power Fx functions, and Client scripting to enforce validation across forms and minimize duplication.
Business rules: By setting the scope of a business rule to All Forms or Entity, you can enforce data validation across multiple forms. This minimizes logic duplication because you define the rule once at the table level instead of re-creating it for each form.
Client scripting: You can write a single reusable JavaScript web resource and associate it with the
"OnLoad" or "OnSave" events of multiple forms. This allows you to enforce validation across different forms without copying and pasting code.
Power Fx functions: These act as reusable, low-code formulas that run server-side in Microsoft Dataverse. You write the validation logic once inside the function, and it can be called across multiple forms or apps, drastically reducing logic duplication.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/processes


質問 # 25
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