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Microsoft AB-410 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 2: Embed agents and AI experiences | - Agent integration
|
| Topic 3: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 4: Implement automation and orchestration | - Process automation
|
| Topic 5: Build intelligent applications on Microsoft Power Platform | - Application development
|
Microsoft Building Intelligent Applications Sample Questions:
1. A company is developing an intelligent customer support application using Azure AI services. The solution must analyze customer conversations, identify user intent, and provide automated responses while maintaining conversation context across multiple interactions. The development team wants a managed service requiring minimal machine learning expertise. Which Azure capability should be implemented?
A) Azure Kubernetes Service inference clusters
B) Azure Synapse predictive analytics
C) Azure Machine Learning custom models
D) Azure AI Language conversational language understanding
2. A company uses a Power Automate cloud flow to manage purchase approvals. Purchase orders will always be approved, rejected, or marked as escalated to a manager.
The company has the following requirements:
- Multiple approvers must be included in each approval request.
- Once approved, an email must be sent to the purchasing team that
confirms the outcome.
- The flow must not wait for remaining approvers after a decision is
reached.
You need to configure the approval.
Which three configurations should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Evaluate the approval outcome by using a condition.
B) Assign multiple approvers in a single approval action.
C) Configure the approval type as Approve/Reject - First to respond.
D) Configure the approval type as Custom Responses - Wait for one response.
E) Create separate approval actions for each approver in parallel branches.
3. A developer creates an intelligent document processing solution that extracts invoice numbers, vendor information, and payment totals from scanned PDF files. The documents have different layouts depending on the supplier. The solution should minimize manual model training while supporting structured extraction. Which service should be selected?
A) Azure AI Search indexing
B) Azure AI Document Intelligence
C) Azure AI Vision OCR
D) Azure OpenAI embeddings
4. Drag and Drop Question
An insurance company is implementing a customer service solution in Microsoft Dataverse to track interactions and manage issue resolution. The data model includes tables for customer information, support cases, and agents.
The data model includes the following requirements:
- Link each support case to a customer.
- Provide information on the children of customers.
- Record history of agents assigned to customers.
You need to configure table relationships.
Which relationships should you use? To answer, move the appropriate relationship to the correct requirement. You may use each relationship 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.
5. 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?
A) Increase the content moderation level.
B) Decrease the temperature.
C) Increase the temperature.
D) Decrease the content moderation level.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,C | Question # 3 Answer: B | Question # 4 Answer: Only visible for members | Question # 5 Answer: B |





