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 purpose of the return keyword?