GOOGLE Coding Interview | Mock Google Onsite Interview

TL;DR

The content details a mock Google interview focusing on two coding problems with explanations and approaches.

Transcript

hi everyone so i am back again with another mock interview and this time the interview is of google so it will be the replica of the exact google interviews and there are going to be two questions both of the questions are going to be of medium difficulty level and yeah i'm recording this video after the interview is done so both of the questions a... Read More

Key Insights

• 👨‍💻 Mock interviews are crucial for practicing coding skills and understanding the interview process used by major tech companies like Google.
• ⚾ The knight's movement problem demonstrates the need for strategic pathfinding in grid-based challenges, encapsulating concepts like BFS and state management.
• 🥺 Corner case consideration is essential during interviews; overlooking them may impede a candidate's performance and lead to missed optimization opportunities.
• ❓ Efficient data structures and algorithms, like using a secondary array for increment operations, can significantly improve the performance of implementations within constraints.
• 💭 Maintaining clarity in explaining thought processes and code solutions is crucial during an interview to demonstrate communication and problem-solving skills.
• 📶 Problem-solving requires reflection on individual performance, recognizing strengths, and identifying weaknesses for further improvement.
• 🎨 Understanding chessboard navigation enhances logical reasoning in algorithm design, which is foundational for many coding challenges.

Questions & Answers

Q: What were the main problems discussed in the mock interview?

The mock interview featured two main problems. The first required calculating the minimum steps for a knight on a chessboard while avoiding a bishop's attack range. The second involved implementing a stack class with operations such as push, pop, peak, and increment, emphasizing efficiency and correctness.

Q: Why was breadth-first search (BFS) recommended for the knight problem?

BFS is ideal for the knight problem as it explores all possible positions systematically, ensuring that the shortest path (minimum steps) is found. The BFS approach can be efficiently tailored by tracking the knight's position, whether the bishop is alive, and ensuring the movement avoids restricted cells due to the bishop's attack range.

Q: Can you explain the main challenges faced in the knight's move problem?

One major challenge was managing the bishop's attack range, which complicates possible positions the knight can move to. The solution required implementing a mechanism to check if a potential move is safe, which involved precomputing the bishop's attack range and dynamically checking for position validity during the BFS.

Q: How does the implemented stack manage increment operations without sacrificing performance?

The stack manages increment operations using a parallel array to track increments for each position instead of updating elements directly. This approach allows efficient handling of multiple increment calls, where values are summed for elements when popping or peaking, optimizing both time and space effectively.

Summary & Key Takeaways

• The speaker conducts a mock interview simulating a Google interview setting, discussing the structure and nature of the problems presented.

• Two main questions involve moving a knight on a chessboard while avoiding a bishop and implementing a customized stack with specific operations, highlighting problem-solving techniques.

• The speaker reflects on areas for improvement during the interview, such as consideration for corner cases and optimizations in their approach.