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本帖最后由 匿名 于 2026-5-30 19:13 编辑

都是地裡的原題了,感覺就是有其他強者或是not a good fit,所以大機率是掛在HM round

Past experience deep dive
SD: hotel reservation system: 各種failure cases都問得很深入,每個deep dive 我都有回答到面試官看起來滿意

Coding Stock prices: 總共四個部分,面試官說part 4是bonus, 所以可以不用寫出來,用講的就好。細節的話地裡其他篇有

Coding Social Likes: 印象中也是2~3 parts
HM round, BQ

------------------------------------------

| User 1 | User 2 | 1 likes 2 | 2 likes 1 |

------------------------------------------

| Jack  | Rachel  | 5         |...

Full Details

本帖最后由 匿名 于 2026-5-30 19:13 编辑

都是地裡的原題了,感覺就是有其他強者或是not a good fit,所以大機率是掛在HM round

Past experience deep dive
SD: hotel reservation system: 各種failure cases都問得很深入,每個deep dive 我都有回答到面試官看起來滿意

Coding Stock prices: 總共四個部分,面試官說part 4是bonus, 所以可以不用寫出來,用講的就好。細節的話地裡其他篇有

Coding Social Likes: 印象中也是2~3 parts
HM round, BQ

------------------------------------------

| User 1 | User 2 | 1 likes 2 | 2 likes 1 |

------------------------------------------

| Jack  | Rachel  | 5         |        3  |

------------------------------------------

| Mark | Ellen    | 3         |        1  |

------------------------------------------

| Rachel | Ellen  | 6         |        4  |

------------------------------------------

| Jack | Mark     | 0         |        6  |

------------------------------------------

| Mark | Rachel   | 1         |        1  |

Part 1:

Write a transform function for the given data, that can support the below function:

GetLikesCount(user1, user2)

IngestData(user1, user2, 1likes2, 2likes1)

'''

{

"Jack": {

"Rachel": 5,

},

"Rachel": {

"Jack": 3,

}

}

'''

Part 2:

Return recommendations for each person on the social network.

To recommend a friend for someone, we will take their best friend's best friend.

A person's best friend is whomever they have liked the most. So for example, Jack's best friend is Rachel. To recommend a friend for someone, we will take their best friend's best friend. To continue our example: Jack's best friend is Rachel. Rachel's best friend is Ellen. So we will recommend Ellen as a friend for Jack.

GetFriendRecommendation(user)

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About Lead Bank Interview Reports

This question was reported by a candidate who interviewed at Lead Bank. 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 Lead Bank are the higher-signal extractions to take from this report.

For broader preparation context, the Lead Bank 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 Lead Bank reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Lead Bank 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 Lead Bank 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.