Tip 1 : Practice Coding Questions on a coding platform which covers test cases also and you can track of your speed as well
Tip 2 : Prepare various optimisation techniques implemented in your project, how big stream of data is ingested
Tip 3 : Refresh basics of every skill you mentioned in resume and prepare high level questions of your expertise skill
Tip 1 : Don't make it too fancy as sometime, resume parse won't be parsing your resume correctly which may lead to rejection.
Tip 2 : Don't lie about anything in your resume, it's a red flag. You should be able to justify everything that is there in the resume.
It had 14 MCQ questions and one coding question.



In the example below, if we follow the path shown in the figure, then the minimum initial hp required will be 3.

It started with introduction , discussion of some projects I did (in depth)
After as i have Machine Learning in my resume , asked some questions regrading data quality , how to improve it . What is considered as bad data
Then 2 DSA questions
3-4 SQL queries : nth largest salary , JOINS, etc



Can you solve each query in O(logN) ?

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?