1p3a Experience · May 2026

google sde ii early career online assessment experience and ai tool insights

SWE OA newgrad
2 upvotes 4 replies

Interview Experience

如题,大概是今年二月底投的,上周二做了hiring assessment以后就发了OA,hacker rank的题,跟之前一波ng的code signal好像不太一样,记录分享一下。 一共两题,明确讲了有些题是有AI tool可以用的,有sample题可以体验一下AI tool。但是sample题非常蠢,LZ选Python,给的是两个题,一个是Django自己写REST API,只有文件模板,没有函数模板,也不能问AI,感觉非常没有意义…Django熟练的人可以玩玩吧,反正LZ是没跑通。第二个是普通coding题,给了AI tool,但是fizzbuzz有什么可以问AI的呢……于是就零经验上场了。 正式的题也是两题,90分钟。邮件说是70分钟就能搞定,反正LZ是拖到了最后才跑通的……熟悉一下AI tool挺有必要的。建议多玩玩sample,多问它一些问题看看哪些它给回复好一些,哪些不行。 第一题:给一个email内容string,一个verification string,一个切片常数k,要求把email里的每k个字母映射成checksum数字,a-z是1-25,":", "/"...

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About Google Interview Reports

This question was reported by a candidate who interviewed at Google. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Google are the higher-signal extractions to take from this report.

For broader preparation context, the Google interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Google reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Google Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Google reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.