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Updated: Jul 15, 2026
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Microsoft Developing AI Apps and Agents on Azure Sample Questions:
1. You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?
A) Azure AI Document Intelligence
B) Azure Machine Learning
C) Azure OpenAI
D) Azure AI Language
2. You have an Azure subscription that contains an Azure Al Foundry instance named AI1.
You have an app that automatically triages and resolves issues presented in the log files of a system.
You create an incident manager agent and a DevOps agent that collaborate to resolve the issues.
You need to ensure that the incident manager agent can assign work to the DevOps agent. The solution must minimize development effort.
What should you do?
A) Create a plugin for the DevOps agent.
B) Configure a connected agent for AI1.
C) Configure prompt flow for AI1.
D) Create a plugin for the incident manager agent.
3. You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Summarizes documents that contain multiple sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?
A) abstractive summarization
B) key phrase extraction
C) sentiment analysis
D) extractive summarization
4. You have a Microsoft Foundry project that contains a high-traffic agent.
After a recent update, operational costs increase significantly.
Monitoring confirms that the volume of user traffic to the agent remains unchanged.
You suspect that changes to the request or response characteristics are causing the increase.
You need to identify whether the additional costs are driven by the model input size, the model output size, or expanded tool usage.
Which observability capability should you use?
A) token usage
B) run success rate
C) latency
D) evaluation metrics
5. A copilot must answer multi-part questions that depend on earlier turns in the conversation. You want the system to break each complex question into focused subqueries, run them in parallel, and semantically rerank the results before composing an answer. Which Azure AI Search capability provides this?
A) Classic keyword search with a scoring profile
B) Agentic retrieval
C) A single vector query with a high similarity threshold
D) Increasing the top-k value on a single keyword query
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |
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