Google SDE (Software Development Engineer) Interview Questions, Process, and Tips

I am currently working as a Software Development Engineer with expertise in web development and cloud computing.

• Proficient in programming languages like Java, Python, and JavaScript

• Experience in developing and maintaining web applications using frameworks like React and Angular

• Knowledge of cloud computing platforms such as AWS and Azure

• Familiarity with database management systems like MySQL and MongoDB

• Strong problem-so

The time complexity of the program is O(nlogn).

• The program has a divide and conquer algorithm.

• The program has nested loops.

• The program has a recursive function.

Design an algorithm with less time complexity.

• Use efficient data structures like hash tables, binary trees, etc.

• Avoid nested loops and recursion if possible.

• Try to optimize the code by reducing redundant operations.

• Use dynamic programming to solve complex problems.

• Consider parallel processing for large datasets.

• Use built-in functions and libraries instead of writing custom code.

• Profile the code to identify bottlenecks

Merge sort and heap sort are two popular sorting algorithms used in computer science.

• Merge sort is a divide-and-conquer algorithm that recursively divides the input array into two halves, sorts them, and then merges them back together.

• Heap sort is a comparison-based sorting algorithm that uses a binary heap data structure to sort elements.

• Merge sort has a time complexity of O(n log n) and is stable, while heap sort has...read more

Time complexities of sort algorithms

• Bubble sort - O(n^2)

• Selection sort - O(n^2)

• Insertion sort - O(n^2)

• Merge sort - O(n log n)

• Quick sort - O(n log n)

• Heap sort - O(n log n)