Which Is a Linear Data Structure McQ?

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Angela Bailey

Linear data structure is a fundamental concept in computer science and is widely used in various applications. In this article, we will explore the concept of linear data structures and discuss multiple-choice questions (MCQs) related to them. So, let’s dive in!

What is a Linear Data Structure?

A linear data structure is a collection of elements where each element has a direct successor and predecessor, except for the first and last elements. In simple terms, it represents a sequence of elements arranged in a specific order.

Common examples of linear data structures include arrays, linked lists, stacks, and queues. These structures are used to store and manipulate data efficiently.

Multiple-Choice Questions (MCQs)

1. Which of the following is NOT an example of a linear data structure?

  • a) Array
  • b) Linked List
  • c) Tree
  • d) Stack

Answer: c) Tree

The tree is not considered a linear data structure because its elements are not arranged in a sequential order. Instead, they are organized hierarchically.

2. Which data structure follows the Last-In-First-Out (LIFO) principle?

  • a) Array
  • b) Linked List
  • c) Queue
  • d) Stack

Answer: d) Stack

A stack is designed to follow the LIFO principle, where the last element inserted is the first one to be removed. It can be visualized as a stack of plates, where you can only remove the top plate.

3. Which of the following data structures is used for breadth-first traversal?

  • a) Array
  • b) Linked List
  • c) Queue
  • d) Stack

Answer: c) Queue

Breadth-first traversal involves exploring all the neighbors of a node before moving to its children. This approach is best implemented using a queue data structure.

4. What is the time complexity for inserting an element at the beginning of an array?

  • a) O(1)
  • b) O(n)
  • c) O(log n)
  • d) O(n^2)

Answer: b) O(n)

Inserting an element at the beginning of an array requires shifting all existing elements by one position, resulting in a time complexity of O(n). The complexity is proportional to the number of elements present in the array.

Conclusion

In this article, we explored the concept of linear data structures and discussed multiple-choice questions related to them. We learned that linear data structures play a crucial role in storing and manipulating data efficiently. By understanding their characteristics and properties, we can make informed decisions when designing algorithms or implementing data-driven applications.

I hope this article has provided you with valuable insights into linear data structures and helped you test your knowledge through MCQs. Happy learning!

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