Microsoft Building Intelligent Applications - AB-410

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Microsoft AB-410 Exam Syllabus Topics:

Microsoft Building Intelligent Applications Sample Questions:

1. Hotspot Question
A company runs Power Automate cloud flows in production.
You observe many duplicate executions and 401 error codes when you review the flow runs.
You need to resolve the errors.
How should you address each error? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. A company wants to evaluate whether an AI-generated answer is useful before releasing an application to production. Which activity should be performed?

A) Disable user feedback
B) Increase hardware resources only
C) Delete training data
D) AI evaluation and testing

3. A company creates an AI assistant that generates marketing content. Business users complain that responses vary significantly between identical requests. Which parameter should be adjusted?

A) Network bandwidth
B) Temperature
C) Storage capacity
D) Authentication method

4. Case Study 2 - 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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and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.
You need to implement the extensibility requirements.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Business rule
B) JavaScript web resource
C) Sitemap
D) Power Apps component framework control
E) Plugin

5. A company wants to build a generative AI assistant that answers employee questions using internal policies stored in SharePoint. The assistant must provide responses based only on approved company documents. Which architecture pattern should be implemented?

A) Reinforcement learning
B) Image classification pipeline
C) Model fine-tuning only
D) Retrieval-Augmented Generation

Solutions: