When designing a win condition checker for a large N x N board supporting multiple players, which strategy best ensures efficient and scalable win detection?

hard📝 Trade-off Q8 of 15

LLD - Design — Tic-Tac-Toe Game

AScan the entire board after each move to check all possible win conditions

BMaintain incremental counters for each player's rows, columns, and diagonals updated after every move

COnly check the first row and column for a win after each move

DUse a recursive search to explore all possible winning paths after each move

Step-by-Step Solution

Solution:

Step 1: Analyze scalability requirements
For large boards and multiple players, scanning the entire board (B) or recursive searches (D) are inefficient.
Step 2: Identify efficient approach
Incremental counters (A) allow constant-time updates and quick win checks after each move, making it scalable.
Step 3: Eliminate incorrect options
Checking only first row/column (C) misses many win scenarios.
Final Answer:
Maintain incremental counters for each player's rows, columns, and diagonals updated after every move -> Option B
Quick Check:
Incremental counters optimize win checking [OK]

Quick Trick: Update counters per move for fast win detection [OK]

Common Mistakes:

MISTAKES

Scanning entire board after every move
Ignoring diagonal win conditions
Using exhaustive recursive searches unnecessarily

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When designing a win condition checker for a large N x N board supporting multiple players, which strategy best ensures efficient and scalable win detection?

Step 1: Analyze scalability requirements

Step 2: Identify efficient approach

Step 3: Eliminate incorrect options

Final Answer:

Quick Check:

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