Common Google coding interview questions

Some companies are very selective while shortlisting candidates for their organization. Google is no doubt one of them.

There is a complete process while appearing for a Google interview.It includes multiple rounds such as

• Phone screening

• Technical Coding Round

• Onsite Interview.

To clear all these rounds candidates should be highly skillful and hardworking. However, there are certain ways Such as solving the most common questions. in which you can minimize your hard work.

So in case, you are preparing for Google Interview and want to reduce your hard work. Here are some most Common asked Google coding interview questions along with their answers.

So let's start...

Most Common Coding Interview Questions

Take an example of the start of a linked list along with the key. You have to delete the key.

To start with, you need to track down the particular key in the given linked list. You have to keep the two pointers, the current and the last one. In case when you find a key in the linked list, then the given current pointer would point to a node that contains the keys to be erased. The last one will be pointing towards the node which is before the main node

You can do it in a linear scan by modifying both current and the previous pointers as you iterate through the linked list.

Why do data structures matter?

We have to write the importance of data structures first, Then provide their examples.

Data structures matter when we want to arrange data so as to access it rapidly and helpfully. Examples include; queues, stacks, heaps, linked lists, search trees, hash tables, and so on.

How would you implement a stack using a queue?

This is a question asked to test your data structure knowledge. A stack is defined as a data structure which permits to push and pop all the elements in first in first out order. A queue is defined in the data structure to enqueue or dequeue all elements in the first in, first out order.

To execute a stack using a queue, You will need to enqueue the elements onto one queue and dequeue the elements from the other queue.

We are given an array containing ‘n’ numbers from the range 0 to ‘n’. Since our array contains only ‘n’ numbers from the total of ‘n+1’ numbers, we have to find the missing number.

To solve this question we have to implement the: following algorithm

1. Track down the sum 'sum_of_elements' of the numbers of numbers in the Array. This would require a direct output, O(n).

2. Then, at that point, find the total 'expected_sum' of the first 'n' numbers utilizing the math series aggregate equation.

3. The difference between these for example 'expected_sum - sum_of_elements', is the missing number in the array

What are B-Trees?

In the query, you need to elaborate on B-trees and what they do. B-trees are defined as adjusted search trees which are planned for working well on circles or other optional storage gadgets. B-trees are like red-dim trees, yet they are better at restricting plate I/O undertakings. Various informational index structures use B-trees for storing information.

You have to take the example of a given linked list where the node will be having two pointers. The first pointer is the normal next one whereas the subsequent pointer is called arbitrary_pointer. This shows any node present in the linked list. The main responsibility is to make code to get a duplicate of the connected list. Here, duplicate means that any of the procedures implied on the given first linked list will not influence the replicated list.

This approach utilizes a guide to follow inconsistent node pointers by the first list. You will make a deep duplicate of the first connected list (say list_original.

Explain how to find the nth term in Count and Say sequence?

Answer: To start with, we should produce all terms from 1 to n. The initial two terms are introduced as 1 and 11. The third term is created from the second, fourth from the third, etc. To create the following term, we really want to filter the previous term.

While filtering the last term, we need to monitor the count of every single continuous character. For a succession of similar characters, we will add the count followed by the character to generate the next term. Read Full Article...