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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question 1

Drag and Drop Question
You are investigating high latency in an AI search application that processes millions of requests daily. Telemetry is stored in Azure Monitor Logs.
You must create a KQL query that correlates information from the AppRequests table and the AppDependencies table. The query must meet the following requirements:
- Include only data from the last 24 hours.
- Filter for failed requests only.
- Calculate the average duration of dependencies, grouped by operation.
The query must be optimized for performance by minimizing the initial data scan.
You need to create the query.
Which five actions should you perform in sequence? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Question 2

You are designing an Azure Function app that processes large image uploads submitted by users through an HTTP endpoint.
The solution must:
- Prevent client timeouts by decoupling image processing from the
initial upload request.
- Support automatic retry behavior for failed processing attempts.
- Scale the background processing independently of the rate of incoming HTTP uploads.
You need to design a scalable and reliable asynchronous processing solution.
Which two actions should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Configure retry policies on a storage queue.
B. Implement a queue-triggered function for image processing.
C. Persist upload metadata to Azure Storage.
D. Process the image inside the HTTP-triggered function.

Question 3

Hotspot Question
You are reviewing an Azure Function app that processes incoming order requests for a company.
The function must
- Accept order submissions from an external client application.
- Require controlled access for security.
- Return a response containing the processed request payload.
You review the following code segment:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Question 4

Drag and Drop Question
You are designing Azure Functions for three different backend workloads.
Each workload requires one of the following dispatching models:
- Return an immediate response to a client.
- Process background work from a queue.
- Run code on a fixed schedule.
You need to select the trigger for each requirement.
Which triggers should you select? To answer, move the appropriate triggers to the correct requirements. You may use each trigger 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.

Question 5

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

Solutions: