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Microsoft AB-410 Exam Syllabus Topics:

SectionObjectives
Topic 1: Build intelligent applications on Microsoft Power Platform- Application development
  • 1. Create AI-powered business applications
  • 2. Integrate AI models into applications
Topic 2: Governance and application lifecycle management- Responsible AI and ALM
  • 1. Manage application lifecycle and deployment
  • 2. Apply governance and security controls
  • 3. Implement responsible AI practices
Topic 3: Embed agents and AI experiences- Agent integration
  • 1. Embed Copilot Studio agents into applications
  • 2. Build agent-first user experiences
Topic 4: Implement automation and orchestration- Process automation
  • 1. Automate business workflows
  • 2. Coordinate apps, agents, and AI models
Topic 5: Design intelligent applications with Copilot and natural language- AI-first application design
  • 1. Leverage natural language experiences in application development
  • 2. Use Copilot capabilities to design solutions

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AB-410資格トレーリング、AB-410テスト内容

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Microsoft Building Intelligent Applications 認定 AB-410 試験問題 (Q82-Q87):

質問 # 82
A company uses a prompt to generate responses based on internal support knowledge.
The company requires the prompt to minimize generation of unsupported and incorrect information while ensuring responses remain useful.
You need to tune the prompt model settings.
How should you configure the model settings?

正解:C

解説:
To minimize unsupported information and ensure factual accuracy, you should decrease the temperature setting to a low value, typically between 0.0 and 0.3. Lowering the temperature forces the model to prioritize the most probable words, making the responses conservative, deterministic, and tightly aligned with your internal support knowledge base.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/optimize-prompts-topic-configuration


質問 # 83
A company processes transaction records by using a Power Automate cloud flow.
The company has the following requirements:
# Continue processing records until a status field changes to Complete, even if new records are added during execution.
# Process a fixed list of records retrieved at the start of the flow, ensuring each record is processed exactly once.
You need to configure the flow control logic.
Which controls should you use? To answer, move the appropriate controls to the correct requirements. You may use each control once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation:
Continue until status is Complete - Do until; Process the fixed retrieved list - Apply to each

Do until is the correct loop when processing must continue until a runtime condition becomes true. The flow can recheck the status and repeat its actions until Status equals Complete, subject to configured count and timeout limits. Because the condition is reevaluated between iterations, it can respond to a status change that occurs while the flow is running. Apply to each is correct for the fixed array of records retrieved at the beginning. It enumerates each item in that array once; records added to the source later are not automatically inserted into the already obtained collection. Scope groups actions for error handling or organization but does not implement either iteration pattern. Concurrency settings affect parallelism and ordering within a loop but do not replace the loop itself. The Do until design should include a delay or appropriate polling interval and explicit termination safeguards to avoid excessive requests. Apply to each concurrency should be chosen according to ordering and connector limits. The Study Guide's cloud-flow objectives include "implement flow control with conditions and loops." The verified mapping matches a condition-driven loop and a collection-driven loop to their intended behaviors.
Study Guide reference/topic: "Create cloud flows - Implement flow control with loops." AB-410 Study Guide | Microsoft Learn technical reference


質問 # 84
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
# Follow a consistent structure across use cases.
# Be reusable across multiple topics.
# Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?

正解:C

解説:
The maker should select an appropriate template from the prompt library and customize it for each scenario.
Templates provide a consistent starting structure and established prompt pattern while still allowing the instructions, inputs, grounding, and expected output to be adapted to a particular customer request. This balances standardization with scenario-level variation. Model settings influence behavior such as creativity or moderation, but they do not create a reusable prompt structure. Storing prompt text in ordinary topic variables duplicates unmanaged text and does not provide a governed prompt component with its own inputs and lifecycle. Creating unrelated prompts directly inside every topic would repeat structure and make maintenance inconsistent. Customized prompt components should be named clearly, added to solutions, tested against representative inputs, and versioned through ALM. Shared instructions can be kept consistent while scenario- specific requirements remain explicit. The AB-410 Study Guide contains the exact objective "build prompts from templates or from blank." Option D uses the template path for consistency and then applies the customization required for multiple service scenarios.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts from templates." AB-
410 Study Guide | Microsoft Learn technical reference


質問 # 85
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 # 86
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?

正解:B

解説:
Use a Custom Connector. It is built specifically to wrap REST APIs and natively supports the required custom request handling and authentication needed to send and receive data with third- party AI services.
Reference:
https://learn.microsoft.com/en-us/connectors/commondataserviceforapps/


質問 # 87
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