Large number of Questions = Cramming???
Large Number of Questions = Cramming???
In the competitive world of coding interviews, it’s common to see candidates engaging in extensive practice on platforms like LeetCode. This raises an interesting question: Are people solving a large number of questions simply to cram for interviews?
The Cramming Mindset
Cramming typically refers to the act of memorizing information in a short period of time, often right before an assessment. In the context of coding interviews, some candidates may believe that by solving hundreds of problems, they will be better prepared to tackle any question that comes their way. This approach can lead to a narrow focus on memorization of patterns and solutions rather than a deep understanding of underlying concepts.
Confidence vs. Preparation
A popular sentiment among some experienced developers is that if one is truly confident in their coding skills, they should be able to solve any problem without having seen it before. This perspective emphasizes the importance of understanding fundamental concepts, algorithms, and data structures rather than simply recalling solutions to specific problems.
The Counterargument
While confidence in one’s coding abilities is crucial, the reality of technical interviews often includes unexpected twists. Many candidates have encountered questions that require not just coding skills but also the ability to think critically and adapt to new scenarios. This is where the breadth of practice can be beneficial.
Quality Over Quantity
Rather than focusing on the sheer number of questions solved, a more effective strategy may involve:
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Understanding Concepts Deeply: Instead of just solving problems, take the time to understand the underlying principles. Are you familiar with how different algorithms work and when to apply them?
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Diverse Problem-Solving: Tackle a variety of problems that cover different topics and difficulty levels. This will prepare you for the unpredictability of interviews.
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Mock Interviews: Engage in mock interviews with peers or use platforms that simulate the real interview environment. This will help you build confidence and improve your problem-solving under pressure.
Top Comments Reflect the Divide
A notable comment reflects a common mindset: “I solve 0 questions because I am confident my coding skill can crack any question without seen it… yes!” This statement showcases a belief in inherent ability but also highlights a potential disconnect with the structured nature of technical interviews.
While confidence is essential, reliance solely on it may not suffice in an interview setting that often tests not just coding ability but also problem-solving approach and communication skills.
Conclusion
In conclusion, while there may be a temptation to cram solutions to a multitude of questions, it is essential to strike a balance between confidence and preparation. Understanding the “why” behind algorithms and practicing diverse problems can enhance your ability to think on your feet during interviews. Embrace both your coding skills and the value of thorough preparation — it could make all the difference in your next technical interview.
Discussion
What are your thoughts on the balance between cramming and genuine understanding? Have you found that a specific preparation strategy has worked best for you? Share your experiences in the comments below!