Mastering Searching Algorithms: Interview Quiz Quiz

1. Q1

   What is the average time complexity of the Binary Search algorithm?

   1. O(n)
   2. O(log n)
   3. O(n log n)
   4. O(1)

2. Q2

   Which searching algorithm is most suitable for searching in an unsorted list?

   1. Binary Search
   2. Linear Search
   3. Interpolation Search
   4. Exponential Search

3. Q3

   In what scenario is Interpolation Search preferred over Binary Search?

   1. When the data is unsorted
   2. When the data is uniformly distributed
   3. When the data is non-uniformly distributed
   4. When searching for the minimum element

4. Q4

   What is the worst-case time complexity of Linear Search?

   1. O(1)
   2. O(log n)
   3. O(n)
   4. O(n log n)

5. Q5

   Which of the following algorithms requires a sorted dataset?

   1. Linear Search
   2. Exponential Search
   3. Hash Search
   4. Both Linear and Exponential Search

6. Q6

   What is the space complexity of Binary Search implemented iteratively?

   1. O(n)
   2. O(log n)
   3. O(1)
   4. O(n log n)

7. Q7

   What is the main advantage of Exponential Search?

   1. Works on unsorted data
   2. Works on linked lists
   3. Suitable for unbounded arrays
   4. Has better time complexity than binary search

8. Q8

   What happens if you try to perform binary search on an unsorted array?

   1. It throws an exception
   2. It returns the correct result
   3. It may return an incorrect result
   4. It always returns -1

9. Q9

   Which of the following is a drawback of Interpolation Search?

   1. High memory usage
   2. Poor performance with uniformly distributed data
   3. Susceptible to worst-case O(n) time complexity
   4. Only works with integer data types

10. Q10

    What is the first step in Exponential Search?

    1. Sort the array
    2. Find the range where the element might be present
    3. Apply binary search on the entire array
    4. Calculate the middle element

11. Q11

    What is the time complexity of Exponential Search when the element is the first element in the array?

    1. O(1)
    2. O(log n)
    3. O(n)
    4. O(n log n)

12. Q12

    Which search algorithm benefits most from caching recently accessed elements?

    1. Binary Search
    2. Linear Search
    3. Interpolation Search
    4. Exponential Search

13. Q13

    In what scenario should you avoid using binary search?

    1. When memory is severely limited
    2. When the dataset is very large
    3. When you know the data is sorted
    4. When frequent insertions and deletions are required

14. Q14

    What data structure is typically used to implement binary search?

    1. Linked List
    2. Hash Table
    3. Sorted Array
    4. Binary Tree

15. Q15

    How does Interpolation Search estimate the position of the target value?

    1. By always checking the middle element.
    2. Based on the magnitude of difference between the target value and the element values.
    3. By randomly selecting a position
    4. By traversing the array linearly