Interview Preparation Exam  >  Interview Preparation Notes  >  Placement Papers - Technical & HR Questions  >  Data Structure Basics Interview Questions

Data Structure Basics Interview Questions | Placement Papers - Technical & HR Questions - Interview Preparation PDF Download

1. What is data structure?

A data structure is a way of organizing data that considers not only the items stored, but also their relationship to each other. Advance knowledge about the relationship between data items allows designing of efficient algorithms for the manipulation of data.


2. List out the areas in which data structures are applied extensively?

  1. Compiler Design,
  2. Operating System,
  3. Database Management System,
  4. Statistical analysis package,
  5. Numerical Analysis,
  6. Graphics,
  7. Artificial Intelligence,
  8. Simulation


3. What are the major data structures used in the following areas : RDBMS, Network data model and Hierarchical data model.

  1. RDBMS = Array (i.e. Array of structures)
  2. Network data model = Graph
  3. Hierarchical data model = Trees


4. If you are using C language to implement the heterogeneous linked list, what pointer type will you use?

The heterogeneous linked list contains different data types in its nodes and we need a link, pointer to connect them. It is not possible to use ordinary pointers for this. So we go for void pointer. Void pointer is capable of storing pointer to any type as it is a generic pointer type.


5. Minimum number of queues needed to implement the priority queue?

Two. One queue is used for actual storing of data and another for storing priorities.


6. What is the data structures used to perform recursion?

Stack. Because of its LIFO (Last In First Out) property it remembers its 'caller' so knows whom to return when the function has to return. Recursion makes use of system stack for storing the return addresses of the function calls.

Every recursive function has its equivalent iterative (non-recursive) function. Even when such equivalent iterative procedures are written, explicit stack is to be used.
 

7. What are the notations used in Evaluation of Arithmetic Expressions using prefix and postfix forms?

Polish and Reverse Polish notations.


8. Convert the expression ((A + B) * C - (D - E) ^ (F + G)) to equivalent Prefix and Postfix notations.

  1. Prefix Notation: - * +ABC ^ - DE + FG
  2. Postfix Notation: AB + C * DE - FG + ^ -


9. Sorting is not possible by using which of the following methods? (Insertion, Selection, Exchange, Deletion)

Sorting is not possible in Deletion. Using insertion we can perform insertion sort, using selection we can perform selection sort, using exchange we can perform the bubble sort (and other similar sorting methods). But no sorting method can be done just using deletion.


10. What are the methods available in storing sequential files ?

  1. Straight merging,
  2. Natural merging,
  3. Polyphase sort,
  4. Distribution of Initial runs.


11. List out few of the Application of tree data-structure?

  1. The manipulation of Arithmetic expression,
  2. Symbol Table construction,
  3. Syntax analysis.

12. List out few of the applications that make use of Multilinked Structures?

  1. Sparse matrix,
  2. Index generation. 


13. In tree construction which is the suitable efficient data structure? (Array, Linked list, Stack, Queue)

Linked list is the suitable efficient data structure.


14. What is the type of the algorithm used in solving the 8 Queens problem?

Backtracking.


15. In an AVL tree, at what condition the balancing is to be done?

If the 'pivotal value' (or the 'Height factor') is greater than 1 or less than -1.


16. What is the bucket size, when the overlapping and collision occur at same time?

One. If there is only one entry possible in the bucket, when the collision occurs, there is no way to accommodate the colliding value. This results in the overlapping of values.


17. Classify the Hashing Functions based on the various methods by which the key value is found.

  1. Direct method,
  2. Subtraction method,
  3. Modulo-Division method,
  4. Digit-Extraction method,
  5. Mid-Square method,
  6. Folding method,
  7. Pseudo-random method.


18. What are the types of Collision Resolution Techniques and the methods used in each of the type?

  1. Open addressing (closed hashing), The methods used include: Overflow block.
  2. Closed addressing (open hashing), The methods used include: Linked list, Binary tree.

 

19. In RDBMS, what is the efficient data structure used in the internal storage representation?

B+ tree. Because in B+ tree, all the data is stored only in leaf nodes, that makes searching easier. This corresponds to the records that shall be stored in leaf nodes.


20. What is a spanning Tree?

A spanning tree is a tree associated with a network. All the nodes of the graph appear on the tree once. A minimum spanning tree is a spanning tree organized so that the total edge weight between nodes is minimized.


21. Does the minimum spanning tree of a graph give the shortest distance between any 2 specified nodes?

No. The Minimal spanning tree assures that the total weight of the tree is kept at its minimum. But it doesn't mean that the distance between any two nodes involved in the minimum-spanning tree is minimum.


22. Which is the simplest file structure? (Sequential, Indexed, Random)

Sequential is the simplest file structure.


23. Whether Linked List is linear or Non-linear data structure?

According to Access strategies Linked list is a linear one. 
According to Storage Linked List is a Non-linear one.

The document Data Structure Basics Interview Questions | Placement Papers - Technical & HR Questions - Interview Preparation is a part of the Interview Preparation Course Placement Papers - Technical & HR Questions.
All you need of Interview Preparation at this link: Interview Preparation
85 docs|57 tests

Top Courses for Interview Preparation

FAQs on Data Structure Basics Interview Questions - Placement Papers - Technical & HR Questions - Interview Preparation

1. What is a data structure and why is it important in programming?
Ans. A data structure is a way of organizing and storing data in a computer's memory so that it can be accessed and used efficiently. It is important in programming because it allows developers to perform operations on data, such as searching, sorting, and inserting, in an optimized manner. By choosing the right data structure, developers can improve the performance and efficiency of their programs.
2. What are the different types of data structures?
Ans. There are several types of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. Each type has its own characteristics and is used for different purposes. For example, arrays are used to store a fixed-size sequence of elements, while linked lists allow for dynamic resizing and efficient insertions and deletions.
3. Can you explain the concept of time complexity in relation to data structures?
Ans. Time complexity refers to the amount of time it takes to perform an operation on a data structure. It is usually measured in terms of the number of comparisons or operations required to complete the operation. The time complexity of a data structure can vary depending on the specific operation being performed and the size of the data structure. It is an important factor to consider when choosing a data structure, as it can impact the overall performance of a program.
4. How does the choice of data structure affect the efficiency of an algorithm?
Ans. The choice of data structure can greatly impact the efficiency of an algorithm. Different data structures have different characteristics and are optimized for specific operations. For example, if a program requires frequent insertions and deletions, a linked list may be a more efficient choice than an array. On the other hand, if the program requires fast random access to elements, an array would be a better choice. By choosing the appropriate data structure, developers can improve the time and space complexity of their algorithms.
5. What are some common operations performed on data structures?
Ans. Some common operations performed on data structures include searching, sorting, inserting, deleting, and updating data. These operations can vary depending on the type of data structure being used. For example, arrays allow for efficient random access and sorting, while linked lists are better suited for insertions and deletions. Understanding the common operations performed on data structures is essential for designing efficient algorithms and writing optimized code.
85 docs|57 tests
Download as PDF
Explore Courses for Interview Preparation exam

Top Courses for Interview Preparation

Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Related Searches

video lectures

,

Summary

,

mock tests for examination

,

Viva Questions

,

Free

,

MCQs

,

ppt

,

Data Structure Basics Interview Questions | Placement Papers - Technical & HR Questions - Interview Preparation

,

Exam

,

shortcuts and tricks

,

Data Structure Basics Interview Questions | Placement Papers - Technical & HR Questions - Interview Preparation

,

Sample Paper

,

Previous Year Questions with Solutions

,

Data Structure Basics Interview Questions | Placement Papers - Technical & HR Questions - Interview Preparation

,

practice quizzes

,

study material

,

Objective type Questions

,

Extra Questions

,

past year papers

,

Semester Notes

,

Important questions

,

pdf

;