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
Which of these situations might make Bubble Sort a suitable choice?
When the input array is almost sorted
Real-time applications where speed is critical
Sorting a very large dataset
Sorting data with a complex key structure
Is Selection Sort a stable sorting algorithm?
No
Yes
Stability is irrelevant for Selection Sort
Only in its optimized version
What is a key limitation of both Bubble Sort and Selection Sort?
They have a high space complexity
They are not stable sorting algorithms
They are inefficient for large datasets
They cannot handle arrays with duplicate elements
What does it mean for a sorting algorithm to be 'in-place'?
It is the fastest possible sorting algorithm for a given data set.
It can sort data of any type, including numbers, text, and images.
It sorts the data without requiring significant additional storage space.
It sorts the data in its original location without moving elements.
Sorting algorithms can be broadly classified into two categories. What are they?
In-place and Out-of-place
Comparison-based and Non-comparison-based
Recursive and Iterative
Stable and Unstable
Which statement BEST describes the significance of understanding sorting algorithms?
All sorting algorithms perform equally well, so understanding them is unnecessary.
It's primarily a theoretical concept with little practical relevance.
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.
What is the worst-case time complexity of Selection Sort?
O(n log n)
O(log n)
O(n^2)
O(n)
Which of these characteristics is typically used to analyze and compare the efficiency of sorting algorithms?
The specific data values being sorted.
Programming language used to implement the algorithm.
Time complexity, which measures the number of operations as data size grows.
Code readability, which refers to how easy the code is to understand.
Why are sorting algorithms considered fundamental in computer science?
They are primarily used for displaying data to the user.
They are the basis for more complex algorithms and data structures.
They are rarely used in modern software development.
They are only used in specific niche applications.