From software developer interviews to technical interviews for coding job profiles, the weight of your preparation workload is efficiently carried by Strivers SDE Sheet for coding.
This coding interview guide is perfectly handcrafted to help aspirants crack coding interview preparation with 180 accurate and reliable programming interview questions.
Hence, if you are aspiring to land jobs in globally accredited and select multinational corporations like Amazon, Google and Microsoft, Striver SDE Sheet should definitely be on your checklist.
Would you like to know what the Strivers SDE Sheet has to offer?
Take a brief tour of all the important DSA Coding Questions from the SDE Sheet in this blog.
All we have to say is, grab your attention and let’s crack your coding interviews together!
What’s in the Striver SDE Sheet?
Designed and curated by former developer at Google, Raj Vikramaditya who is otherwise popularly known as Striver, the Striver SDE Sheet is produced for tackling questions from important coding concepts but mainly Data Structures and Algorithms.
From Amazon to Microsoft coding interview questions, the patterns from almost all the recognised tech organisations have been kept in mind while designing the Strivers SDE Sheet.
If you are interested in cracking the tech interviews of one of the tech companies, let’s have a look at some of the top coding questions from the SDE Sheet.
Top DSA Questions From Striver SDE Sheet
Check out some of our top selections out of 180 questions from the concept of Data Structures and Algorithms from the Strivers SDE Sheet.
1. What do you mean by Data Structures?
Data Structures can be defined as the logical and mechanical organisation of data within a program which ultimately contributes to determining the level of performance of a program.
The main focus of designing a program must be allocated to analysing the structure of the data and determining the form of data structure that has been used to create the line-up.
2. Define some of the basic applications of designing Data Structures
In terms of real-time applications, designing Data Structures facilitates solving the following problems:
- Decision Making
The problem of allocating and distributing large amounts of data to specific areas within the memory is solved by the Data Structures.
- Image Processing
Data Structures basically lays out the planning and layout of how the images will be displayed as an output to the users after processing of the program.
Blockchain is a form of coding that initiates the compilation of smart contracts such that the program will function exactly how it has been coded without risking chances of fraud.
- Compiler Design
The compilers are basically the main platforms where we can not only create applications and softwares but also run them with full-fledged frontend and backend development. The Data Structures essentially help with the creation of compiler programs and softwares.
3. Describe the process of implementing stacks using queues
This question is being incorporated in the Microsoft coding interview questions for the past several years.
Essentially, we can implement a stack by using two separate queues. The main target is to achieve pop operations in stacks by making use of dequeues and enqueues; these elements can be used to develop and organise push and pop functions.
Here’s how we can implement stacks using queues:
- In the first method we will be making the push function costlier.
- This mechanism makes sure that the elements that have been newly entered are at the front of ‘q1’ and the pop operation dequeues from ‘q1’.
Now, moving onto the next method:
- In this approach the push function will be enqueued to ‘q1’
- The pop function will have all its elements in ‘q1’ and a few of the remaining elements will be stored in ‘q2’ if the stack is found to be empty.
4. Explain Tree Traversals with their algorithms
As the term suggests, tree traversals in Data Structure basically refers to visiting all the different nodes within a tree starting from the root node which is essentially the first node.
We can perform tree traversals in any given data structure using three different approaches, let’s tackle each approach one at a time:
- Inorder Traversal
Step 1: Start from the left subtree which is otherwise termed as Inorder i.e Root Left.
Step 2: Visit the root of the tree
Step 3: Move onto the next subtree i.e the right subtree. This will be referred to as root right or Inorder.
- Preorder Traversal
The algorithm for Pre-order Traversal is written as follows:
Step 1: Start from the root of the tree first.
Step 2: Move onto the left subtree and call it Preorder or root.left.
Step 3: Move onto the right subtree and also call it Preorder or root.right.
Find a detailed description of the algorithm for Preorder Traversal in the Strivers SDE Sheet.
Finally we shall discuss the Postorder Traversal which involves similar steps to be followed in a slightly different order.
- Postorder Traversal
Here’s how the algorithm for Postorder Traversal goes:
Step 1: Start from the Left subtree and call it Postorder or root.left
Step 2: Move onto the Right subtree and also tag it as Postorder or root.right
Step 3: Finally at the end of the traversal, visit the root of the different tree structure.
5. Why should we create Data Structures?
The purpose of creating Data Structures is to essentially make sure that the programs are executed using a limited number of functions.
Efficiency of each line of coding is what makes it necessary to create Data Structures before writing programs.
In order to have an organised code base it is extremely essential to identify and fix the problems with the structure of the codes. This can only be managed by creating Data Structures.
DSA is an important concept to look out for especially for effectively solving the Amazon, Google, Infosys and Microsoft coding interview questions.
From a range of 180 questions, do not be overwhelmed by the Striver SDE Sheet and take on the challenge by solving one concept at a time.
Make it a point to cover all the basics of DSA and if interested you can also consult the experts in coding on our website.