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I applied via Campus Placement and was interviewed before Aug 2023. There were 2 interview rounds.
Implementing a linked list with insert, delete, and search functionalities.
Create a Node class with data and next pointer
Implement insert method to add nodes at the end or specific position
Implement delete method to remove nodes based on data or position
Implement search method to find a specific node
Use SQL query to find the 5 highest salaries in a database table.
Use the SELECT statement to retrieve the salaries from the table.
Use the ORDER BY clause to sort the salaries in descending order.
Use the LIMIT clause to limit the results to the top 5 salaries.
I applied via Referral and was interviewed in Feb 2021. There were 4 interview rounds.
Find all duplicate pairs in given array of strings
Create a hash table to store frequency of each string
Iterate through the array and check if frequency is greater than 1
Add the string to result if frequency is greater than 1
KMP algorithm finds the shortest substring that repeats to form the entire string.
KMP algorithm uses a prefix table to find the longest proper prefix that is also a suffix of each substring.
The length of the shortest repeating substring is the length of the string minus the length of the longest proper prefix.
Example: For string 'abcabcabc', the longest proper prefix is 'abcabc' and the length of the shortest repeating
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.
Aptitudes
Logical
Reasoning
I appeared for an interview in Feb 2025, where I was asked the following questions.
Optimize Python performance by using efficient data structures, algorithms, and built-in functions.
Use list comprehensions instead of loops for faster execution. Example: [x**2 for x in range(10)]
Utilize built-in functions like map(), filter(), and reduce() for better performance.
Choose the right data structures: use sets for membership tests instead of lists.
Profile your code using cProfile to identify bottlenecks.
Con...
A decorator in Python is a function that modifies the behavior of another function or method.
Decorators are defined using the '@' symbol followed by the decorator function name.
They can be used to add functionality to existing functions without modifying their code.
Example: A simple logging decorator that prints the function name before execution.
Example code: def my_decorator(func): def wrapper(): print(...
Python Code - Data Structures, Dynamic Programming
Duration: 1hr45min
DSA medium level question
I applied via Campus Placement and was interviewed in Dec 2023. There were 2 interview rounds.
2 python problem solving question.
1 easy problem and 1 medium.
Technical writing- compare and differentiate between two codes provided
Coding test on the Turing platform
Yes, I have worked in a remote environment before.
I have experience working remotely as a software engineer.
I am comfortable with remote collaboration tools and communication channels.
I have successfully completed projects while working remotely.
I am self-motivated and able to manage my time effectively in a remote setting.
I applied via Recruitment Consulltant and was interviewed in Dec 2022. There were 4 interview rounds.
Medium level array question was asked on hackerrank.
Operations Associate
45
salaries
| ₹3.6 L/yr - ₹6.9 L/yr |
Front end Developer
35
salaries
| ₹1 L/yr - ₹5 L/yr |
Intern
17
salaries
| ₹1 L/yr - ₹5 L/yr |
Product Manager
16
salaries
| ₹20 L/yr - ₹41 L/yr |
Full Stack Developer
16
salaries
| ₹1 L/yr - ₹6 L/yr |
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