Tip 1: Focus on mastering the fundamental concepts of DSA, Web Development, and System Design by solving real-world problems and implementing projects.
Tip 2: Dive into the Kafka and RabbitMQ documentation and practice hands-on, simulating real-life scenarios like data streaming and message brokering.
Tip 3: Review common interview patterns, scalability issues, and distributed systems design, aligning your preparation with practical use cases and industry trends.
Tip 1: Highlight your key projects and contributions, especially those related to system design, distributed systems, and tools like Kafka or RabbitMQ, showcasing your impact with quantifiable results.
Tip 2: Tailor your resume for the role by aligning your skills and achievements with Innovaccer’s job description, emphasizing technologies and methodologies relevant to SDE-2 responsibilities.
Two DSA problems for which I had to provide the pseudocode.



For the given if ARR = [1,1,3],the answer will be [ ],[1],[1,1],[1,3],[3],[1,1,3].
Step 1: Use backtracking to explore all subsets by including or excluding each element.
Step 2: Sort the array first, and skip duplicate elements during recursion to avoid generating duplicate subsets.

'N' = 3, 'A' = {1, 2, 3}, 'B' = {2, 3, 1}.
House 1 on the left side has the same colour as house 3 on the right side.
House 2 on the left side has the same colour as house 1 on the right side.
House 3 on the left side has the same colour as house 2 on the right side.
The answer is {3, 1, 2}.
Step 1: Iterate through each apartment in the grid, checking all 8 possible neighbouring apartments for each position.
Step 2: For each apartment, count the number of happy neighbours by checking if each of the neighbouring apartments contains a 1 (happy).
Step 3: If an apartment has at least 3 happy neighbours, consider it as part of a "Happy Neighbourhood."
Step 4: Keep a count of all such "Happy Neighbourhoods" and return the result after checking all apartments.
Designed a system focusing on key features like data modelling, core functionalities and handling edge cases. Emphasized scalability, efficient use of data structures, and clean, maintainable low-level design (LLD) principles.
Implement an in-memory Twitter system with features to Follow/Unfollow users, post Tweets, and retrieve the last N tweets of a user and their followed accounts. Include functionality to delete tweets and maintain user-specific timelines, ensuring efficient updates and retrievals using data structures like hashmaps and priority queues.
Tip 1: Focus on breaking the problem into core functionalities and defining clean, modular APIs for each feature.
Tip 2: Emphasize data modelling with the efficient use of data structures to handle edge cases and scale effectively.
Tip 3: Prioritize clarity in your design by explaining trade-offs and the reasoning behind each decision to demonstrate understanding and problem-solving skills.

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is the best case time complexity of Bubble Sort?