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Microsoft Developing AI Cloud Solutions on Azure : AI-200
- Exam Code: AI-200
- Exam Name: Developing AI Cloud Solutions on Azure
- Updated: Oct 23, 2026 Q & A: 144 Questions and Answers
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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Plan and manage Azure AI solutions | - Plan security and compliance requirements - Monitor and optimize AI solutions - Select appropriate Azure AI services |
| Implement Azure AI solutions | - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement natural language processing solutions |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
Question #1
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history. The API key must not be stored in application configuration directly. The API key must be accessed securely from Azure Key Vault.
You need to ensure that the API key is stored securely in Azure Key Vault and is available to the container at runtime without being exposed in source control or Git commit history.
Solution: Store the API key as an App Service application setting configured through the Azure Portal.
Does the solution meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
Question #2
You are designing a message based order processing system by using Azure Service Bus.
Each order message must be processed in the same sequence it was received. In addition, a separate audit service must receive copies of all order messages far compliance tracking You need to configure a Service Bus namespace and its entities to meet the ordering and audit requirements Which service bus options should you use? To answer, select the appropriate options m the answer area NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Question #3
You are reviewing the message processing code in a backend worker service.
You review the following Python code that initializes and starts a Service Bus processor
Correct Answer:
Explanation:
Verified Answer: No; Yes; No.
Detailed Explanation: The default Service Bus receive behavior is PeekLock rather than receive-and-delete, so merely receiving a message does not remove it from the queue; it must be settled successfully. If processing fails and the message remains unsettled or the lock is lost, it can become available for another delivery. Invalid JSON, however, is an application-level content problem: Service Bus does not inspect the payload as JSON and automatically retry it to MaxDeliveryCount solely because deserialization fails. The application's settlement/error path determines what happens.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Service Bus message transfers, locks, and settlement | Service Bus messages, routing, and correlation
Question #4
You are creating an Azure Functions app project in your local development environment by using Azure Functions Core Tools.
You must create the project in either Python or C# without using a template.
You need to specify the command and its parameter required to create the Azure Functions app project.
Which command and parameter should you specify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
* Command: func init
* Parameter: --worker-runtime
Use func init to initialize a new Azure Functions project. Microsoft documents func init as the Azure Functions Core Tools command that creates the project structure in either the current directory or a specified project folder. The command is specifically intended for creating a new Functions application project, whereas func new creates an individual function from a template inside an already initialized project.
The --worker-runtime parameter specifies the language/runtime model for the Functions project. For example, Microsoft documents func init --worker-runtime python for Python projects and func init --worker- runtime dotnet-isolated for modern C#/.NET isolated-worker projects.
--language is not the primary parameter used to establish the Functions worker runtime in this scenario. It can be relevant to certain runtime combinations, such as Node.js, but the Core Tools project initialization examples for Python and C# rely on --worker-runtime. --target-framework is used to select a specific .NET target framework after the worker/runtime model is determined; it does not identify whether the project should be Python or C#.
Therefore, the correct combination is func init + --worker-runtime .
Study Guide references: Azure Functions Core Tools # func init; local Functions project creation; --worker- runtime; Python and .NET isolated worker projects.
Question #5
You are implementing semantic retrieval for a chatbot.
Embeddings are already stored in Redis. However, vector similarity queries do not return matches.
You need to resolve the vector similarity search issue.
What should you do?
- A. Create an HNSW vector index on the embedding field.
- B. Reset expiration on each read.
- C. Set a 24-hour Time to Live (TTL) on embedding keys.
- D. Enable geo-replication.
Correct Answer: A 🗳️
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