What is the best-case time complexity of Insertion Sort?
O(n^2)
O(1)
O(n log n)
O(n)
Is Bubble Sort a stable sorting algorithm?
Stability is irrelevant for Bubble Sort
Only in its optimized version
No
Yes
What is the space complexity of Bubble Sort in its standard form?
O(log n)
Which statement BEST describes the significance of understanding sorting algorithms?
It's only essential for software engineers specializing in algorithm development.
It enables developers to choose the most suitable algorithm for a given task based on efficiency and data characteristics.
It's primarily a theoretical concept with little practical relevance.
All sorting algorithms perform equally well, so understanding them is unnecessary.
Which of these situations might make Bubble Sort a suitable choice?
Real-time applications where speed is critical
Sorting data with a complex key structure
When the input array is almost sorted
Sorting a very large dataset
Why is Insertion Sort not preferred for large datasets?
It is difficult to implement
It has a high space complexity
It is not a stable sorting algorithm
Its time complexity is quadratic in the worst case
How does Insertion Sort build the sorted portion of the array?
By iteratively expanding a sorted subarray from left to right
By recursively dividing the array into halves
By finding the minimum element and placing it at the beginning
By comparing and swapping adjacent elements
Why is understanding the time and space complexity of sorting algorithms crucial?
To estimate the efficiency and resource usage of an algorithm for different input sizes.
To predict the output of a sorting algorithm without actually executing it.
To determine the exact number of comparisons and swaps performed by an algorithm.
To convert between different sorting algorithms.
When does Insertion Sort exhibit its worst-case time complexity?
When the array has a random distribution of elements
When all elements in the array are the same
When the array is already sorted
When the array is reverse sorted
Which of the following is NOT a valid reason for using sorting algorithms?
Presenting data in a user-friendly order.
Compressing files for storage efficiency.
Improving the performance of searching algorithms.
Finding the median of a dataset.