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Microsoft QA Engineer System Design Questions

45 practice questions for Microsoft QA Engineer interviews

Microsoft QA engineer interviews test automation frameworks, test strategy, CI integration, performance testing, and debugging complex multi-service systems.

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System Design
system design Hard Verified Question #1

1. Top 5 System Design Questions Jan 2026


Category: Interval-based system design problem
# Top 5 Recently Asked System Design Questions - Microsoft These are the commonly asked system design questions from Microsoft interviews and some...
Input: List
Output: Computed result
system design Senior api design #1

1. [OA] Design a Load Test Orchestrator for Azure

In the cloud context of Microsoft Azure, orchestrating load tests is crucial for scaling applications effectively. Your task is to design a LoadTestOrchestrator that can distribute load across multiple services in a controlled manner.
Problem statement: Create a class LoadTestOrchestrator that can manage multiple load test execution requests and dynamically distribute them to different services based on load balancing strategies.
- Class structure:
- def addTestRequest(serviceName: str, load: int) -> None: : Queues a load test request for execution with a specified load.
- def executeTests() -> None: : Executes all queued load test requests and returns test results.
Example 1:
Input: orchestrator = LoadTestOrchestrator(); orchestrator.addTestRequest('serviceA', 50); orchestrator.addTestRequest('serviceB', 70); orchestrator.executeTests()
Output: Example results showing load distribution across services.
Explanation: The orchestrator should balance the load during execution.
Constraints:
- 1 <= serviceName.length <= 100
- 1 <= load <= 1000.
system design Senior api design #2

2. [OA] Design a Flaky Test Detector — Improve test reliability in Microsoft Teams

To maintain the reliability of Microsoft Teams, you need a system that can identify flaky tests that yield inconsistent results over time. Your task is to design a FlakyTestDetector that monitors test results and flags tests that exhibit flaky behavior.
Problem statement: Design a class FlakyTestDetector containing methods to add test results and identify flaky tests based on a threshold of allowed failures.
- Class structure:
- def addTestResult(testName: str, result: str) -> None: : Adds a test result where result is either 'pass' or 'fail'.
- def getFlakyTests(threshold: int) -> List[str]: : Returns a list of test names flagged as flaky if they exceed the given threshold of failures.
Example 1:
Input: detector = FlakyTestDetector(); detector.addTestResult('testA', 'fail'); detector.addTestResult('testA', 'pass'); detector.addTestResult('testA', 'fail'); detector.getFlakyTests(1)
Output: ['testA']
Explanation: 'testA' failed twice out of the last three executions. It is considered flaky.
Constraints:
-
1 <= testName.length <= 100
-
threshold > 0`.

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