Microsoft AI-200 Test Passed : Developing AI Cloud Solutions on Azure

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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. You are designing an Azure Function app that exposes a public API.
The solution must:
- Validate incoming request data and return results immediately to the
caller.
- Support Microsoft Entra ID authentication.
- Guarantee idempotent processing when the same request is retried.
- Scale automatically under variable load.
- Avoid duplicate processing.
You need to implement a trigger.
Which trigger should you implement?

A) Azure Queue storage
B) Service Bus topic
C) HTTP
D) Azure Event Grid

2. 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.
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.
You need to ensure that the API key remains outside of Git commit history and is available to the container at runtime.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?

A) Yes
B) No

3. You need to secure an Azure OpenAI resource so that it is only reachable from your virtual network and not from the public internet. What should you configure?

A) A private endpoint with Azure Private Link
B) Cross-Origin Resource Sharing (CORS) rules
C) Azure AI Content Safety
D) API key rotation

4. You deploy an AI application across multiple Azure regions.
The application must be able to view writes across all regions within a predictable time window.
You need to determine the appropriate consistency level.
What are two consistency levels you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A) Session
B) Eventual
C) Strong
D) Bounded staleness

5. You are developing an application that must extract structured field data (invoice number, total, vendor name) from scanned invoices in multiple layouts. You need a solution that requires no custom model training. What should you use?

A) Azure AI Language custom named entity recognition
B) Azure AI Document Intelligence prebuilt invoice model
C) Azure AI Document Intelligence custom neural model
D) Azure AI Vision Read API

Solutions: