Free Programming Aptitude Test: 15 Quick Questions
Quick, free coding aptitude test. Instant results and progress insight.
Editorial: Review CompletedUpdated Aug 23, 2025
This programming aptitude quiz helps you check coding logic and problem-solving in 15 quick questions. You will answer items on control flow, data types, and basic data structures. For extra drills, try aptitude test sample questions, tackle a hard aptitude quiz, or explore an engineering aptitude test.
Learning Outcomes
- Analyse algorithmic scenarios to determine optimal solutions.
- Evaluate code snippets for logical correctness and efficiency.
- Identify common programming patterns and potential pitfalls.
- Apply problem-solving strategies in coding challenges.
- Demonstrate understanding of data structures and control flow.
- Master basic computational thinking and logic skills.
Cheat Sheet
- Modularizing Your Code - Breaking your program into small, focused modules helps you avoid "spaghetti code" and makes your work feel more like a neat stack of LEGO bricks than a tangled ball of yarn. Each module can be tested and fixed independently, so you spend more time coding fun features and less time chasing mysterious bugs.
- Dodging the God Object - If you catch a single class handling every task under the sun, you've probably summoned the dreaded God Object anti-pattern. Applying the Single Responsibility Principle keeps each class laser-focused on one job, making your code more cooperative and way easier to debug.
- Don't Swing the Golden Hammer - Just because you've mastered a particular tool or pattern doesn't mean it's the answer for every problem in town. Before you reach for the same solution again, take a moment to weigh the pros and cons - your code and your future self will thank you!
- Beware of Overengineering - Design patterns can be magical, but sprinkling too many of them everywhere can turn your project into a complexity carnival. Use patterns judiciously and only when they truly simplify your work - not just to flex your programming muscles.
- Singleton Pitfalls - The Singleton pattern can feel like a quick fix for shared resources, but overusing it creates tight coupling and test headaches. Consider dependency injection or other alternatives to keep your code flexible and your tests happy.
- The Magic Number Trap - Hard-coded numbers sprinkled throughout your code are like secret handshakes nobody remembers - confusing and hard to change. Defining named constants makes your intentions crystal-clear and saves you from detective work later.
- Copy-Paste Code Chaos - Seeing the same block of code in multiple places is a red flag for maintenance nightmares. Refactor repeated logic into reusable functions or classes and watch your codebase shrink in size and bloat in elegance.
- Premature Optimization Peril - Tweaking performance before you even need to can turn simple code into a cryptic puzzle. Prioritize clean, readable code first, then optimize critical sections once you've measured real bottlenecks.
- Cleaning Up Lava Flow - Old, unused code that lingers like cooled lava clogs your project and confuses new contributors. Regularly sweep through your codebase, remove the dead weight, and keep everything running smoothly.
- Heaving the Boat Anchor - Holding onto code "just in case" is like chaining a boat anchor to your project - it drags you down with technical debt. If it's not solved now, it's not needed now: toss it and sail ahead faster!