Apple | ICT3 | India | 2025 | Reject

I received a message from a linkedin recruiter . Recruiter was looking for people who have worked with Spark .

1. HM - hiring manager round focused on prior experience . 1 technical question . If you have an SQL query which is taking a lot of time . how will you debug . WHat all will you check i said location of the DB server . Check SQL plan . Check indexes.

2. HM- Another similar round focused on prior experience . 1 technical question . Why use columnar DBs over other database . What excites you to come to work everyday . 3. DSA round- similar to this https://leetcode.com/problems/remove-duplicates-from-sorted-array/description/ . with the twist that max K similar is allowed . 4. HM Another work experience round - Some questions on spark and alternatives . All work history rounds were in depth questions to check if you have really worked on them Questions like . What all alternatives were there . Why did you choose this . How does it help to scale etc etc . 5. Full stack round- I wasn't prepared for questions on react since haven't worked on it for 3 years . Frontend questions on react like use effect , hooks . Some of them went above my head :) . then a question . Given a function which returns a shallow copy of a object in json format . Take an oject as input and return a deep copy of the object . you can only use the function . DSA question - https://leetcode.com/problems/meeting-rooms-ii/description/ . I was seeing this for the first time . gave the correct solution using Priority Queue but then the interviewer said that the hours are fixed from 1 to 24 . Wasn't able to come up with the exact solution but came close . 6. System design round - How to scale an application from 100 to 1 million requests per second

No feedback . Generic rejection mail