Data Structures and Algorithms Interview Questions and Answers
A data structure and algorithm is a particular configuration of information for arranging and saving information so any client can easily get to and work inside specified data to run a program proficiently. Basically, we need to consider memory optimization while developing any application. In short, we can say that it is a key concept of any interview, or we can say that it is a basic fundamental requirement of software development.
Top 15 Data Structures and Algorithms Interview Questions and Answers
Below are the top question and answers to the Data Structures and Algorithms as follows. These questions are helpful while giving mock tests or interviews.
Q1. What is a data structure, and why do we need to implement it?
Answer:
Basically, a data structure is nothing but the logical implementation of our data which we need to develop. Logical implementation means how the developed program will perform. Normally we have different types of data structures, each with its advantages and disadvantages. The requirement of data structure is very important because overall performance is based on the structure and data structure, and the algorithm provides different types of functions. With the help of this function, we ensure that each and every line of the program functions correctly.
Q2. How to store the variable in memory?
Answer:
Basically, variables are stored in the memory on the basis of what size they are required. So we need to follow the same steps as follows.
1. First, we need to assign the memory, which means how much size is required.
2. In the second step, store the variable in the memory based on the selected data structure.
We can also use dynamic memory allocation for high efficiency.
Q3. What is the difference between the storage and file structure?
Answer:
Storage Structure: When a function that uses this data is fully executed, the data in this type is deleted from the main memory or RAM.
File Structure: File structure uses auxiliary memory, which can be any device like a hard disk or pen drive that stores data and keeps it intact until it is manually deleted.
The basic difference is that the storage structure uses the computer’s memory for data storage, and the file structure uses the auxiliary memory for the same.
Q4. Can you explain what linear structure is with an example?
Answer:
A linear data structure is nothing, but all data or elements are stored in a sequential manner or we can say that linear manner. We stored the data with successors and predecessors in this type because we have a non-hierarchical structure. Examples of linear are Stack, Arrays, Queue, Linked List, etc.
Q5. Can you write the algorithm for inserting the element at the end of the linked list?
Answer:
- If pointer= null, then needs to display overflow and repeat the same step.
- Set new node = pointer.
- Set pointer= pointer-> Next
- Set new_node-> info = value
- Set new_node-> next = null
- Set pointer = front
- Repeat Step 8 until pointer -> next! = null
- Set pointer = pointer-> Next
- Set pointer -> Next = new_node
- Stop.
Q6. Can we consider linked lists as linear or non-linear data structures?
Answer:
Linked lists can be thought of as either linear or non-linear data structures, depending on the purpose for which they are used. It is regarded as a linear data structure when used in access strategies. It is regarded as a non-linear data structure when used for data storage.
Q7. How can we explain the algorithm?
Answer:
The algorithm is nothing but the step-by-step module used to solve the manipulation problem, or we can say that it is an instruction set for the specific order.
Q8. What is a stack?
Answer:
A stack is a conceptual data type with a linear data structure, similar to a real-world stack or pile, where you can only remove the top item from the stack. As a result, only one end of the stack, known as the “top of the stack,” is where items are inserted (push) and removed (pop) in a particular order of the stack.
Q9. Can you explain the postfix expression?
Answer:
Postfix expression is a combination of operators and operands. In these expressions, operators are coming after the operands, for example, AN+.
Q10. What are the real-time applications of a stack?
Answer:
We can use it in backtracking; Memory management, as well as we can also use it in function calling and return.
Q11. What is asymptotic analysis?
Answer:
The method of determining an algorithm’s running time in mathematical units to determine the program’s limits, or “run-time performance,” is called asymptotic analysis. The objective is to determine the average, worst-case, and best times for completing a given activity. Although it is not a deep learning training method, asymptotic analysis is an important diagnostic tool for programmers to use to evaluate an algorithm’s efficiency rather than its correctness.
Q12. What is DLL?
Answer:
DLL is nothing but the doubly linked lists, which is an updated version of the linked list. In DLL, each element has two points to navigate the back and front whenever required.
Q13. How to explain dequeue?
Answer:
It is also called a double-ended queue means that in this type, we can insert and delete the element from both sides, front and rear, but it does not allow FIFO.
Q14. What is a multidimensional array?
Answer:
There is only one dimension in the typical array; The order of the data values is linear. However, suppose you want to move elements from a table into an array. The most fundamental type of multidimensional array is a 2D array.
Q15. What are the three types of tree traversals in binary search trees?
Answer:
Inorder, preorder, and postorder tree traversal.
Conclusion
From this article, we can understand the data structure and algorithm interview questions. It provides the basic idea about the mid-level and higher-level concepts of algorithms. Data structure and algorithm is a key point for every interview, or we can say that every technology.
Recommended Articles
This is a guide to Data Structures and Algorithms Interview Questions. Here we have discussed the top question and answers to prepare for your next interview. You may also look at the following articles to learn more –
- Sqoop Interview Questions
- Data Science Interview Questions
- Data Analytics Interview Questions
- Data Warehouse Interview Questions
Are you preparing for the entrance exam ?
Join our Data Science test series to get more practice in your preparation
View More