📅  最后修改于: 2023-12-03 15:05:06.927000             🧑  作者: Mango
在亚马逊的SDE 1电话面试中,面试官通常会提出一些技术问题,试图了解还在学习中的程序员的技术能力。这些问题往往旨在查看面试者的编程基础知识,透彻了解算法、数据结构,以及常见的计算机科学问题的解决方法。
以下是在亚马逊电话面试中可能遇到的问题:
1.如何找到链表中倒数第k个元素?
class Node:
def __init__(self, data=None, next=None):
self.data = data
self.next = next
def find_kth_to_last(head, k):
slow = fast = head
for _ in range(k):
fast = fast.next
while fast:
slow = slow.next
fast = fast.next
return slow.data
2.如何找到一个数组中的两个数字,让它们的和为给定值?
def find_sum(arr, sum):
s = set()
for i in arr:
if sum - i in s:
return True
s.add(i)
return False
3.如何对一个链表进行排序?
def merge_sort(head):
if not head or not head.next:
return head
# 找到链表中间节点
mid = get_mid(head)
right = mid.next
mid.next = None
# 递归排序
left = merge_sort(head)
right = merge_sort(right)
# 归并排序结果
return merge(left, right)
def get_mid(head):
if not head or not head.next:
return head
slow = fast = head
while fast.next and fast.next.next:
slow = slow.next
fast = fast.next.next
return slow
def merge(left, right):
dummy = Node(0)
cur = dummy
while left and right:
if left.data < right.data:
cur.next = left
left = left.next
else:
cur.next = right
right = right.next
cur = cur.next
cur.next = left or right
return dummy.next
4.如何判断一个二叉树是否为对称二叉树?
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def is_symmetric(root):
if not root:
return True
def helper(left, right):
if not left and not right:
return True
if not left or not right:
return False
if left.val != right.val:
return False
return helper(left.left, right.right) and helper(left.right, right.left)
return helper(root.left, root.right)
5.实现一个LRU Cache
from collections import OrderedDict
class LRUCache(OrderedDict):
def __init__(self, capacity):
super().__init__()
self.capacity = capacity
def __setitem__(self, key, value):
if key in self:
self.move_to_end(key)
super().__setitem__(key, value)
if len(self) > self.capacity:
self.popitem(last=False)
亚马逊的SDE 1面试并不会只考察某些特定的技能或算法,因此你需要确保自己准备得够充分,且具备全面的计算机领域知识。在面试前,最好了解一下公司的面试流程,并有针对性地进行准备。此外,不要害怕在面试过程中出现一些不会的问题;面试官并不是在寻找完美的候选人,而是想要看到你能否快速学习和适应新的技术挑战。