Have a big interview for data science and java based job roles? Worried about what data structures interview questions Java-Based to prepare? There is nothing to panic about, if you have a list of interview questions on data structures & algorithms or on data structures interview questions in JAVA around you, you will be good to go. Here is the complete list of important algorithms and data structures interview questions JAVA-based that you must overlook and prepare with great confidence.
Most Asked Interview Questions on Data Structures and Algorithms
1. What is Data Structure?
Data Structure is data collection, management, and storage format for easy access & modification. In other words, it is a collection of data values and the relationship between them and functions & operations that can be applied to these values.
2. What are the types of data structures?
Data Structures are mainly of the following two types:
Linear Data structure - A data structure is linear when its elements are in sequential order or are a linear list and every element is placed in a non-hierarchical manner.
Few examples - Arrays, Stack, Strings, Queue, and Linked List.
Non-Linear Data structure - When the elements of the data structure are not arranged in a sequential manner and instead the element is attached with two or more elements in a non-linear arrangement.
Few examples - Graphs & trees.
3. In what most areas the data structures are used?
Data structures are part of the following branch of computer science:
4. The linked list is an example of a linear or non-linear data structure?
A linked list can be a subset of both linear and nonlinear, it depends on its usage & application. If it is used for access strategies, then it is a part of linear structures but when used for data storage, it can be called a non-linear data structure.
3. What is the linked list data structure?
It is simply a sequence of data objects where elements of data structures are not stored in adjacent memory locations. Each element is inside such a setting is an individual object called a node. Every node has 2 items, one is a data field and the other is a reference to the next node. Head is the entry point in each linked list. When the list is empty, the head is a null reference and the last node has a reference to null.
Data Science Training - Using R and Python
6. What is the algorithm?
The algorithm is a defined procedure, which demonstrates the actions or steps to be executed in a certain order to get the desired outputs.
7. What different operations can be performed on any data structure?
8. What is the difference between an Array and Linked list?
9. What is a doubly-linked list? Mention some examples to it.
A doubly linked list is a complex type of linked list, further in which each node has two links, the first link connects to the next node pinned in the sequence, whereas the second link is connected to the previous node. It allows for easy transversal between the data elements in different directions.
Here are the few examples of doubly linked list:
11. What are dynamic data structures? Mention a few.
Dynamic data structures are a collection of data in memory that expands and shrinks as per the program. And allows the programmer to regulate memory utilization as per requirement.
The few examples of dynamic data structures are slack, queue, heap, linked list, and array.
12. Why is algorithm analysis required?
A problem can be solved in too many ways. To treat computational problems, the algorithm analysis provides an estimation of the required resources and also helps to determine the time and space these resources would require to execute.
13. What is stack and for what it is used?
A stack is a data type that defines a linear data structure with an order - LIFO (Last in first out) or FILO (first in last out). Three basic operations /functions of the stack are - Pop, peek and push.
Stacks are used for:-
14. What are the queue data structures? List some of its applications.
The queue data structure is a data type that specifies the ordered list or linear data structure by using the first in first out (FIFO) operation for gaining access to elements. In such a structure, insert operations are done at the end “REAR” and delete operations are done on the other end called “FRONT”.
Here are some of the applications of queue data structures:
Data Science Training - Using R and Python
15. What do you mean by Dequeueue?
Dequeue is a data structure that is a double-ended queue, in which data can be deleted and inserted from both ends which are - REAR and FRONT.
16. Where usually stack data structure is used?
Stack structure has its application in -
17. Why is Heap more advantageous than Stack?
Heap and Stack both of them are part of memory and are often required for use in JAVA for multiple needs: But here what makes them incomparable:
18. What is the difference between PUSH & POP?
PUSH and POP help to define how the data should be stored and retrieved within a stack.
19. What do you mean by Postfix expression?
Postfix expression is an expression where the operators follow the operands. The best part of this expression is:
For example - If you write - a+b, it will be shown as ab+ in postfix.
20. Which sorting algorithm is the fastest and why?
QuickSort Algorithm has considered the fastest it delivers the best performance with more inputs. Here are the reasons why this algorithm is said to be best & fastest over other sorting algorithms:
21. What do you mean by merge sort and how does it work?
Merge sort is a type of a divide and conquer algorithm that helps in sorting the data. This merges & sorts the adjacent data and develops bigger sorted lists out of it, these multiple lists are merged recursively to form even bigger sorted lists - until you don’t get a final and single sorted list.
22. Explain the graph data structure.
It is a kind of non-linear data structure that contains vertices or nodes connected by arcs to allow storing and retrieval of data. Arcs or edges can be directed or undirected.
23. What are some of the applications of the Graph data structure?
Graph data structures are used for:
24. Why is binary search advantageous over linear search?
25. What is the difference between NULL and Void?
26. What are the 2 ways to determine whether the linked list has a loop?
27. Where multilinked structures are commonly used?
Multi linked structures are most used to generate an index and sparse matrix.
28. What is the structure of the max heap data structure?
In max heap data structures, the value of the root node stands as either equal or greater to its child nodes.
29. What is Jagged array?
An array where its elements are itself arrays of different sizes & dimensions.
30. How does dynamic memory allocation help with the management of data?
Dynamic memory allocations carry the simple data structure types during the runtime. It helps to combine the separately allocated blocks to turn them into a composite structure - that could be extended and shrunken as needed. Thus, it helps with data blocks of arbitrary size and arbitrary order.
31. List out of the types of trees.
There is a total of 6 types of trees:
32. What is bubble sort and how does it work?
Bubble sort is a comparison based algorithm, where every pair of adjacent elements is compared, and these elements are swapped if they are not placed in order.
33. How file structure & storage structure are different?
Storage structures define the data structure in the memory of the computer system while file structure defines the storage structure in the auxiliary memory.
34. What are some of the applications of the Tree-data structure?
The tree data structure has the following applications:
35. State the difference between path, cycle, circuit.
36. What is a spanning tree and how many do such trees a graph have?
Spanning tree is a subset of Graph G that has all the vertices covered with the least number of edges. Such trees do not have a cycle, they cannot be disconnected.
The number of such trees depends on how the graph is connected. Say a complete undirected graph can have n(n-1) number of spanning trees - where n calls for nodes.
Data Science Training - Using R and Python
37. Which data structures must be used to perform LRU cache?
You can use two data structures to perform LRU cache:
38. What are the benefits of Selection sort?
The selection sorts are:
39. What are the limitations of the array implementation of Queue?
The size of the array - If we need to add more elements in the queue, we need to expand the size of the queue, but by chance, if we are using an array to implement a queue, it is not possible to extend the array size, therefore, array implementation of the queue is often a problem.
Waste of memory- The space of the array that is used for storing queue elements cannot be reused to store the queue elements because the elements can only be put in from the front end, and the value of the front end is so high that all the space before that will not be filled completely.
Hope you have got the interview questions on data structures and algorithms or data structures interview questions JAVA-based. We have a complete bank of data structures interview questions, for which you can consult us. We will lead you to helpful ways to strengthen your practice for algorithms and data structures interview questions.
If you have been looking for data structures interview questions in java, these are a few important algorithms and data structures interview questions. To understand the components of data structures in-depth, a learning guide is most required.
If you wish to crack your data science and java based job interviews, knowing and preparing these interview questions on data structures and algorithms can easily help.
But to know more of algorithms and data structures interview questions or data structures interview questions in java, you can buy our Data science self-learning kit, where you will find complete packaged knowledge on data structures and others - from concepts to interviews questions, you will be served with comprehensive knowledge. While if you are confused at how to prepare interview questions on data structures Java-based, you can even reach out to our instructors who will help you find the finest & effective ways to prepare and crack these questions during the interview processes.
A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.
MS SQL Server
Receive Latest Materials and Offers on Data Analyst Course