Google OA emphasizes algorithmic thinking and code quality. This article shares the latest OA questions. oavoservice helps you pass smoothly.
📋 Question 1: Longest Increasing Subsequence (LIS)
def lengthOfLIS(nums):
if not nums:
return 0
dp = []
for num in nums:
left, right = 0, len(dp)
while left < right:
mid = (left + right) // 2
if dp[mid] < num:
left = mid + 1
else:
right = mid
if left == len(dp):
dp.append(num)
else:
dp[left] = num
return len(dp)
Time Complexity: O(n log n)
📋 Question 2: Number of Islands
def numIslands(grid):
if not grid:
return 0
def dfs(i, j):
if (i < 0 or i >= len(grid) or
j < 0 or j >= len(grid[0]) or
grid[i][j] != '1'):
return
grid[i][j] = '0'
dfs(i+1, j)
dfs(i-1, j)
dfs(i, j+1)
dfs(i, j-1)
count = 0
for i in range(len(grid)):
for j in range(len(grid[0])):
if grid[i][j] == '1':
dfs(i, j)
count += 1
return count
💼 How oavoservice Helps
Latest Real Questions - Google OA Question Bank Optimal Solutions - Time/Space Optimized Code Standards - Google Style Guide Debugging Skills - Quick Issue Localization
Contact oavoservice for professional OA assistance!
Tags: #Google #OA #Algorithm #DynamicProgramming #DFS #OAHelp #InterviewPrep #1point3acres
Need real interview questions? Contact WeChat Coding0201 immediately to get real questions.