【每日面经】Amazon、LinkedIn、GoldmanSachs最新面经速递!

科技求职更简单 直通硅谷 今天

直通硅谷每日面经整理

为了帮助小伙伴们更好的准备面试

直通硅谷帮助大家整理了每日最新面经

省去自己搜索面经的繁琐


重点标红 我们每天都更新哦!


整理时间


2020年1月下旬


本期内容


最新面经整理


Amazon

LinkedIn

WePay

GoldmanSachs


部分面经阅读


(因为整理内容过多,这里只放有部分面经,想获取完整版的小伙伴们可以阅读下文“完整版获取方式”。)


【题目类】

WePay/OA/实习

input是年份(int) 求十月份的第二个周二是几号。 地里有答案, python 调calendar包, 据说如果用python还要check egde cases which is when the first week does not have a Tuesday。 楼主用的java写的, 不用check edge case,就一行,import java.time.*

 

来源:

https://www.1point3acres.com/bbs/forum.php?mod=viewthread&tid=585680&extra=page%3D2%26filter%3Dsortid%26sortid%3D311%26orderby%3Ddateline%26sortid%3D311%26orderby%3Ddateline

 


GoldmanSachs/OA/全职

1. 给一个数组,每七个数求一个平均值,moving average, 返回List<String>保留小数点后两位的结果。

2. Lintcode1802 Grid Game原题

 

来源:

https://www.1point3acres.com/bbs/forum.php?mod=viewthread&tid=585669&extra=page%3D2%26filter%3Dsortid%26sortid%3D311%26orderby%3Ddateline%26sortid%3D311%26orderby%3Ddateline

 


LinkedIn/Onsite/Pass/全职

第一轮面了两道题,一道是非常常见的MaxStack,我用的是BST和bi-directional linked list,另外一道跟GC相关,也是设计一个数据结构,要你实现能够

1)reserveMemory(Location l, size n)

2) write(Location l, byte[] b)

3) get(Location l)

4) free(Location l)

没有时间写具体code了就讲了一下思路

第二轮算法是BST,List<Integer> findKClosestElementInBST(int target, int k)

 

来源:

https://www.1point3acres.com/bbs/forum.php?mod=viewthread&tid=585659&extra=page%3D2%26filter%3Dsortid%26sortid%3D311%26orderby%3Ddateline%26sortid%3D311%26orderby%3Ddateline



综合类

Amazon/OA+技术电面+Onsite

Status: Pending results

Position: SDE 2

Location: Dublin

Date: January 16, 2020

 

Interview Process:

 

OA

Phone Screen

Onsite(Virtual)

Online Assessment:

A set of two questions - both problems could be solved using DFS (Something like flood fill & rotting oranges)

https://leetcode.com/problems/flood-fill/

 

https://leetcode.com/problems/rotting-oranges/

 

Leadership principles based MCQ

Phone Screen :

30 mins LP based questions

30 mins design question (file system)

https://leetcode.com/articles/design-in-memory-file-system/

 

Onsite: Since they had time constraints, we had to do a virtual interview.

Round 1: System design - something similar to the below

https://leetcode.com/discuss/interview-question/object-oriented-design/124542/Design-Uber-Backend

 

Round 2: OOP deisgn - something similar to the below, not exactly the same

https://leetcode.com/problems/lru-cache/

 

Round 3: purely behavioural based on LP

Round 4: LC problem using Binary Search, similar to the below

https://leetcode.com/problems/find-the-smallest-divisor-given-a-threshold/

 

Round 5: LC problem using DFS, somthing like below

https://leetcode.com/problems/find-winner-on-a-tic-tac-toe-game/

 

All rounds were divided into two parts - 30 mins technical, 30 mins LP

Overall, the interview wasa easy, but I screwed up as I had not prepared well for System design rounds. :)

Hope it helps :)

 

来源:

https://leetcode.com/discuss/interview-experience/484798/Amazon-or-SDE2-or-Dublin-or-Jan-2020-Pending

 

完整版领取方式



没看过瘾?自己翻找面经太耗时?让你的科技求职变简单不是白喊的!直通硅谷公众号每日发布最新面经,赶快置顶吧!更有按公司整理的面经大全让你一次到位!


领取方法:

扫码添加小助手,回复“面经+公司名”

得到最新面经汇总!


每天不断更!不止这些哦~


最新面经看了,可答案不确定又该怎么办?

求职准备苦,找直通硅谷

Offer又被撸,找直通硅谷


直通硅谷成立4年多以来,已累计帮助2000+学员拿到心仪offer!



依托硅谷顶尖科技公司资深工程师教师资源,针对华人学生面试短板,打造精悍高效、高技术含量且紧贴面试趋势的求职辅导课程,帮助学员提高硬核能力、熟知面试技巧,拓展职场人脉,从而进入谷顶尖科技公司。



专业团队,经验打造,助你全面提升求职准备效率,短时间内迅速提升面试能力!



课程详细介绍请点击↙左下角原文链接~



 求职文书资料:25万字四年积累资料库,包含求职文书模板、面经资料、BQ资料等,让同学在求职的前、中、后期大大节省资料搜集时间。