Bounteous x Accolite Senior Software Engineer Interview Questions and Answers

Q1. There we a lot of question on Python basics 1. Iterators 2. Generator 3. List Comprehensions 4. Static Method, Class Method 5. Testing in Python - Pytest 6. Magic Methon 7. Try Except Else Block in Python ...read more
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Q2. DSA Questions 1. Balanced Parenthesis 2. String Compression - Check on Leetcode
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Q3. Basic SQL Count(*) query
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The COUNT(*) function in SQL counts all rows in a table, including duplicates and NULL values.
• COUNT(*) counts all rows in a table: Example: SELECT COUNT(*) FROM employees;

• It includes NULL values: Example: SELECT COUNT(column_name) FROM employees; (counts non-NULLs)

• Can be used with WHERE clause: Example: SELECT COUNT(*) FROM employees WHERE department = 'Sales';

• Useful for aggregating data: Example: SELECT department, CO...read more
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Q1. Memory Management in Python
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Memory management in Python involves automatic memory allocation and deallocation through garbage collection.
• Python uses automatic memory management through garbage collection to allocate and deallocate memory.

• Memory is managed using reference counting and a cycle-detecting garbage collector.

• Python's memory management is efficient for most use cases, but can lead to memory leaks if circular references are not handled p...read more
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Q2. Garbage Collection in Python
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Garbage collection in Python is an automatic memory management process that helps in reclaiming memory occupied by objects that are no longer in use.
• Python uses a built-in garbage collector to manage memory automatically.

• The garbage collector in Python uses reference counting and a cycle-detecting algorithm to reclaim memory.

• Explicitly calling the 'gc.collect()' function can trigger garbage collection in Python.

• Garbage...read more
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Q3. Code a system to query an API, do multiprocessing and improve the efficiency
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Code a system to query an API, do multiprocessing and improve efficiency
• Use a library like requests in Python to query the API

• Implement multiprocessing using a library like multiprocessing or threading in Python

• Optimize efficiency by caching API responses or using asynchronous programming
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Q1. DSA questions leet code easy
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Q2. OOP Concepts and DB
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Q1. Dsa basic questions
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Q2. Multithreading and lld
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Rotate matrix 90 degrees

Q1. Reduce HashMap collision
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Implement strategies to minimize collisions in HashMap for better performance and efficiency.
• Use a better hash function: A well-distributed hash function reduces clustering. Example: Use prime numbers in calculations.

• Increase the initial capacity: Start with a larger size to minimize resizing and collisions. Example: Set initial capacity to 16 instead of 8.

• Utilize linked lists or trees: In case of collisions, store ent...read more
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Q2. Threading in Java
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Threading in Java allows concurrent execution of code, improving performance and responsiveness in applications.
• Java provides the Thread class and Runnable interface for creating threads.

• Example: Implementing Runnable interface: 'public class MyRunnable implements Runnable { public void run() { ... } }'

• Threads can be started using 'new Thread(new MyRunnable()).start();'

• Synchronization is crucial to avoid thread interfe...read more
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Q1. What is WebFlux, and what is the role of Mono in Spring Framework?
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Q2. What is the significance of the final keyword in the context of classes and methods in Java?
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Q3. Question on DP
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