What is the main challenge in implementing a circular array?
Determining the starting index of the array
Handling the resizing of the array
Managing the wrap-around behavior correctly
Efficiently searching for elements in the array
What is the time complexity of deleting a given value from an unsorted array in the worst case?
O(n)
O(log n)
O(n log n)
O(1)
In which scenario is a sparse array particularly useful?
Storing a small array with frequent updates
Implementing a stack data structure
Representing a matrix with mostly zero values
Storing a large sorted array
Which of the following statements is TRUE about Quick Sort?
It is generally preferred over Merge Sort for arrays.
It always has a time complexity of O(n log n).
It is a stable sorting algorithm.
It performs poorly on already sorted arrays if the pivot selection is not optimized.
Merge Sort is considered a stable sorting algorithm. What does 'stable' mean in this context?
The algorithm always takes the same amount of time to sort an array of a given size.
The algorithm uses a fixed amount of memory regardless of the input size.
The algorithm is not affected by the initial order of elements in the array.
The algorithm maintains the relative order of elements with equal values after sorting.
Which sorting algorithm would be most suitable for sorting a very large dataset that cannot fit entirely in RAM?
Heap Sort
Quick Sort
Merge Sort
You want to search for a target value in a sorted array with millions of elements. Which algorithm would generally be the fastest?
Interpolation Search
Binary Search
Jump Search
Linear Search
What is the time complexity of searching for a target value in a sorted array using binary search?
Which sorting algorithm has the least space complexity among Merge Sort, Quick Sort, and Heap Sort?
In which scenario would using Insertion Sort for sorting an array be advantageous?
Sorting an almost sorted array.
Sorting a very large array.
Sorting an array with many duplicate elements.
Sorting an array in reverse order.