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ML and Algorithm level questions asked, Sort Array with less complexity and handle dimensional array. and Roles and responsibility of current project and tech stack and some HR Psychological questions
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Software Development Engineer In Test (SDET) II

Interviewed at Samsung R&D Institute India - Bangalore

3.6★
May 30, 2023

ML and Algorithm level questions asked, Sort Array with less complexity and handle dimensional array. and Roles and responsibility of current project and tech stack and some HR Psychological questions

def test_api_response(): """ Task: Implement a function to test an API endpoint that returns user data. The API endpoint: https://api.example.com/users/{user_id} Expected response format: { "id": int, "name": string, "email": string, "age": int } Requirements: 1. Write a function that sends a GET request to the API for a given user_id. 2. Validate the response status code is 200. 3. Verify the response JSON structure matches the expected format. 4. Check that all required fields are present and have the correct data types. 5. Implement at least one edge case test (e.g., invalid user_id). 6. Use any Python testing framework and HTTP library of your choice. Bonus: - Implement parameterized tests for multiple user IDs. - Add performance assertions (e.g., response time < 500ms). Note: You can assume the API is functional. Focus on writing the test code. """ # Implement your solution here pass # Example usage (you'd typically use a test runner like pytest) if __name__ == "__main__": test_api_response()
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Software Development Engineer In Test (SDET)

Interviewed at Google

4.4★
Jul 7, 2024

def test_api_response(): """ Task: Implement a function to test an API endpoint that returns user data. The API endpoint: https://api.example.com/users/{user_id} Expected response format: { "id": int, "name": string, "email": string, "age": int } Requirements: 1. Write a function that sends a GET request to the API for a given user_id. 2. Validate the response status code is 200. 3. Verify the response JSON structure matches the expected format. 4. Check that all required fields are present and have the correct data types. 5. Implement at least one edge case test (e.g., invalid user_id). 6. Use any Python testing framework and HTTP library of your choice. Bonus: - Implement parameterized tests for multiple user IDs. - Add performance assertions (e.g., response time < 500ms). Note: You can assume the API is functional. Focus on writing the test code. """ # Implement your solution here pass # Example usage (you'd typically use a test runner like pytest) if __name__ == "__main__": test_api_response()

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