What roles can I use the Python (Coding): Debugging Assessment Test for?

Here are few roles for which we recommend this test: Software Developer Python Developer Backend Developer Full Stack Developer Data Scientist Machine Learning Engineer QA Engineer DevOps Engineer Automation Engineer Technical Support Engineer

What is the Python (Coding): Debugging Test?

The Python (Coding): Debugging Test is designed to evaluate a candidate's ability to identify and resolve bugs in Python code. Companies use this test to assess the debugging skills of potential hires, enabling them to find candidates who can efficiently troubleshoot and improve code quality.

Can I combine the Python (Coding): Debugging Test with SQL questions?

Yes, recruiters can request a custom test that includes both Python debugging and SQL questions. For more details on how we assess SQL skills, check out our SQL Online Test .

How to use the Python (Coding): Debugging Test in my hiring process?

Add this test as a pre-screening tool at the beginning of your recruitment process. Share the link in your job post or invite candidates via email. This helps identify skilled candidates early.

Can I test Python and SQL together in a test?

Yes, you can combine Python and SQL in a single test. This combination is recommended for roles requiring both coding and database management skills. Check out our Python & SQL Test .

What are the main Coding Tests?

Our main Coding Tests include: JavaScript (Coding): Debugging Test Java (Coding): Debugging Test C++ (Coding): Debugging Test Python (Coding): Data Structures Test

Python (Coding): Debugging Test

The Python (Coding): Debugging Test evaluates a candidate's ability to identify and fix bugs in Python code. Using scenario-based MCQ questions, it tests knowledge of syntax errors logical errors and exception handling. The test also includes a coding exercise to assess hands-on debugging skills in Python.

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Screen candidates with a 30 mins test

Test duration: ~ 30 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

5 Python MCQs
1 Python Coding Question

Covered skills:

Syntax Errors

Logical Errors

Exception Handling

Code Optimization

Debugging Tools

Unit Testing

Performance Issues

Multithreading Issues

Memory Management

API Debugging

Code Review

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Use the Python (Coding): Debugging Assessment Test to shortlist qualified candidates

The Python (Coding): Debugging Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Identify and rectify common syntax errors in Python code, demonstrating attention to detail and language proficiency
Diagnose and resolve logical errors, showcasing problem-solving skills and algorithmic thinking
Implement effective exception handling strategies to create robust and error-resistant code
Optimize Python code for improved performance and efficiency, demonstrating understanding of language best practices
Utilize debugging tools and techniques to efficiently troubleshoot and fix issues in Python programs
Design and implement unit tests to ensure code reliability and facilitate easier debugging
Identify and address performance bottlenecks in Python applications, showing proficiency in code optimization
Debug and resolve issues related to multithreading and concurrency in Python
Manage memory effectively in Python programs, avoiding common pitfalls like memory leaks
Debug API integrations and resolve issues related to external service interactions
Conduct effective code reviews, identifying potential bugs and suggesting improvements

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Screen candidates with the highest quality questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this Python (Coding): Debugging Test will be non-googleable.

🧐 Question
Medium ZeroDivisionError and IndexError Exceptions	Solve
What will the following Python code output?
Medium Session File Handling Dictionary	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
Medium Max Code Arrays	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
Medium Recursive Function Recursion Dictionary Lists	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
Medium Stacking problem Stack Linkedlist	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill
	Medium ZeroDivisionError and IndexError Exceptions	2 mins Python	Solve
What will the following Python code output?
	Medium Session File Handling Dictionary	2 mins Python	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Medium Max Code Arrays	2 mins Python	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Medium Stacking problem Stack Linkedlist	4 mins Python	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	ZeroDivisionError and IndexError Exceptions	Python	Medium	2 mins	Solve
What will the following Python code output?
	Session File Handling Dictionary	Python	Medium	2 mins	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Max Code Arrays	Python	Medium	2 mins	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Stacking problem Stack Linkedlist	Python	Medium	4 mins	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

Test candidates on core Python (Coding): Debugging Hiring Test topics

Syntax Errors: Syntax errors occur when code violates the rules of the programming language. These errors prevent the code from being executed and must be fixed before the program can run. Identifying and correcting syntax errors is a fundamental skill for any Python developer.

Logical Errors: Logical errors are more subtle and occur when the code runs without crashing but produces incorrect results. Debugging logical errors requires a deep understanding of the program's intended behavior and the ability to trace code execution. This skill is crucial for ensuring software reliability and correctness.

Exception Handling: Exception handling involves anticipating and managing runtime errors gracefully. Proper exception handling improves code robustness and user experience by preventing unexpected crashes. It's essential for writing resilient Python applications that can handle various error scenarios.

Code Optimization: Code optimization focuses on improving the efficiency and performance of Python programs. This skill involves identifying bottlenecks, refactoring code for better runtime or memory usage, and applying appropriate data structures and algorithms. Optimized code leads to faster execution and better resource utilization.

Debugging Tools: Proficiency in using debugging tools like pdb, IDEs with integrated debuggers, or logging frameworks is crucial for efficient problem-solving. These tools allow developers to step through code, inspect variables, and analyze program flow. Mastery of debugging tools significantly reduces the time spent on identifying and fixing issues.

Unit Testing: Unit testing involves writing and running automated tests for individual components of a Python program. This practice ensures code correctness, facilitates refactoring, and helps catch regressions early. Effective unit testing is a key skill for maintaining code quality and supporting continuous integration processes.

Performance Issues: Identifying and resolving performance issues requires a deep understanding of Python's internals and profiling techniques. This skill involves analyzing code for inefficiencies, memory leaks, or excessive resource consumption. Addressing performance issues is critical for developing scalable and responsive Python applications.

Multithreading Issues: Debugging multithreaded Python applications presents unique challenges due to concurrency and synchronization complexities. This skill involves identifying race conditions, deadlocks, and other thread-related issues. Proficiency in multithreading debugging is essential for developing robust parallel and asynchronous Python programs.

Memory Management: Understanding Python's memory management and garbage collection mechanisms is crucial for writing efficient code. This skill involves identifying memory leaks, optimizing object lifecycle, and managing large datasets effectively. Proper memory management ensures optimal resource utilization and prevents out-of-memory errors in Python applications.

API Debugging: API debugging involves troubleshooting issues related to external service integrations or internal API designs. This skill requires understanding HTTP protocols, RESTful principles, and API authentication mechanisms. Proficiency in API debugging is essential for developing reliable and interoperable Python applications in modern, distributed architectures.

Code Review: Code review skills encompass the ability to critically analyze and provide constructive feedback on Python code. This includes identifying potential bugs, suggesting improvements in code structure or style, and ensuring adherence to best practices. Effective code review contributes to overall code quality, knowledge sharing, and team collaboration in Python projects.

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