The interviewer showed up 15 minutes late and still cut the session short, which left almost no time to actually build anything.
Start by clarifying requirements and constraints, then outline a high-level object-oriented design using SOLID principles and appropriate design patterns. Implement a minimal working solution focusing on core classes and interactions, and discuss trade-offs and potential extensions.
Pro tip: Demonstrate awareness of scalability and performance considerations early, as Citadel values efficient systems. Also, proactively mention how you would test the design and handle edge cases.
Ask questions to understand the scenario's scope, functional and non-functional requirements, and constraints. Confirm assumptions with the interviewer.
Identify core entities, their responsibilities, and relationships. Sketch a class diagram and discuss key design patterns (e.g., Strategy, Observer) to address extensibility.
Define interfaces and class hierarchies, applying SOLID principles. Implement a minimal working solution in code, focusing on critical paths and clear separation of concerns.
Explain design decisions, alternatives considered, and trade-offs (e.g., performance vs. flexibility). Suggest how to extend the system for future requirements.
Outline a testing strategy (unit, integration) and mention edge cases. If time permits, write a simple test to validate core functionality.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying the problem and constraints, then walk through a brute-force solution before optimizing. Implement the optimized solution with clean code, test it, and then thoroughly discuss trade-offs, limitations, and potential further optimizations.
Pro tip: Always verbalize your thought process and consider edge cases early; interviewers at Citadel value structured thinking and attention to detail over just getting the right answer.
Ask clarifying questions to confirm input/output formats, constraints, and edge cases. Restate the problem in your own words to ensure alignment.
Discuss a brute-force solution first, then propose an optimized approach. Explain the time and space complexity of each and justify your choice.
Write clean, modular code with meaningful variable names. Walk through a few test cases, including edge cases, to verify correctness.
Discuss the trade-offs of your chosen approach (e.g., time vs. space, readability vs. performance) and any limitations (e.g., assumptions, scalability).
Suggest potential optimizations or alternative approaches, explaining how they might improve performance or handle different scenarios.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.