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| Section | Objectives |
|---|---|
| Embed agents and AI experiences | - Agent integration
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
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NEW QUESTION # 95
Hotspot Question
A company deploys a model-driven app to multiple departments.
The company requires the following app functionality:
- Enable users to open the app.
- Determine why users cannot access the app.
You need to configure app access.
Which actions should you perform? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Share the app and assign appropriate security rules
To enable users to open a model-driven app, you must share the app with them and assign them appropriate security roles. Sharing the app grants access to the user interface, while the security roles grant the necessary Dataverse privileges to view, create, or update the underlying data.
Box 2: Run the App access checker
Running the App access checker is the correct action. It is the primary troubleshooting tool used to pinpoint why users cannot access or view a model-driven app.
The checker instantly diagnoses three core requirements:
Visibility: Whether the app has been explicitly shared with the user's security role.
Security Permissions: Whether the user possesses the required privileges (such as read privileges) on the model-driven app table.
License: Whether the user has the necessary license assigned to access and run the app.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/share-model-driven-app
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/app-visibility-privileges
NEW QUESTION # 96
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear on the review screen.
A company integrates external systems into Power Automate by using cloud flows.
The company must connect to external services with different characteristics and determine whether a custom connector is required.
You need to evaluate if a custom connector is necessary to meet the requirements.
Solution: A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
This scenario requires a custom connector. Because it is a proprietary or internal service, Microsoft does not provide a pre-built native bridge. Building a Microsoft Custom Connector wraps the web service's REST/SOAP API into a reusable tool, eliminating the need to repeatedly configure HTTP headers and endpoints across separate flows.
Incorrect:
* A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
A custom connector is not necessary here. For single-use or non-reusable integrations, using a generic built-in HTTP action step is the most efficient and fastest choice.
* A cloud flow must retrieve data from Microsoft Dataverse.
Power Automate includes a native, out-of-the-box Microsoft Dataverse connector. There is no need to develop a custom connector for default Power Platform data storage.
* A cloud flow must retrieve data from SharePoint Online lists.
SharePoint Online is fully supported by native Microsoft 365 integrations. You should use the pre- built SharePoint connector instead of creating a custom wrapper.
Reference:
https://alphavima.com/blog/power-apps-custom-connector-rest-api/
NEW QUESTION # 97
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?
Answer: D
Explanation:
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.
NEW QUESTION # 98
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?
Answer: D
Explanation:
Dataverse table columns are the appropriate knowledge source for a prompt that must use Retrieval- Augmented Generation with current business information. Grounding the prompt with selected Dataverse data allows the model to incorporate governed product specifications at runtime instead of relying only on its pretrained knowledge. The maker can identify the relevant table and columns and then pass or retrieve the business context required by the prompt. A PNG image is an input artifact, not the structured knowledge source needed for specification retrieval. Plain text can provide fixed instructions or context but does not create a maintained enterprise data source. A PDF can be useful in other grounding experiences, but under the available prompt knowledge options in this scenario, the Dataverse table provides the direct, structured, updateable source. Access remains subject to environment and table security, so only approved data should be exposed to the prompt. The AB-410 Study Guide explicitly measures the ability to "add knowledge to a prompt." Selecting Dataverse table columns implements that objective while minimizing duplication of product data.
Study Guide reference/topic: "Create prompts and models in AI Hub - Add knowledge to a prompt." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 99
A company is building an Al-enabled solution that includes prompts, cloud flows, and Dataverse components.
The solution must be released to production through a controlled process to include the following requirements:
* Validate changes before production release.
* Ensure production stability.
* Ensure that release steps are repeatable and governed.
* Ensure that the production environment reflects only controlled and traceable changes.
You need to determine the appropriate deployment strategy. What should you do?
Answer: A
Explanation:
A controlled application lifecycle uses solutions to move the same tested artifact through downstream environments. Exporting a managed solution from the development source, importing it into test, validating it, and then deploying the same managed build to production prevents direct uncontrolled customization of the packaged components in production. It also makes the release repeatable and traceable. Importing an unmanaged solution into production leaves an active customization layer that can be changed directly and is unsuitable for the stated stability requirement. Applying fixes in test and then deploying from test breaks source control and creates an unrepeatable build; fixes should return to development, be versioned, rebuilt, and retested. In mature delivery, a pipeline handles environment variables, connection references, approvals, solution checking, and deployment history. The crucial point is that production receives the same validated managed artifact, not a newly assembled or modified copy. Microsoft recommends unmanaged solutions for development and managed solutions for nondevelopment environments as part of Power Platform ALM.
Reference: https://learn.microsoft.com/en-us/power-platform/alm/solution-concepts-alm Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 100
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