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[CS] Quiz 3 Sorting Algorithms, Recursion, Data Structures, Tree

Authored by Bruh Bruh

Computers

12th Grade

[CS] Quiz 3 Sorting Algorithms, Recursion, Data Structures, Tree
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14 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Sorting Algorithms: Which sorting algorithm has the best average case time complexity of O(n log n)?

Bubble Sort
Insertion Sort
Merge Sort
Selection Sort
Quick Sort

Answer explanation

Merge Sort is a divide-and-conquer algorithm with an average case time complexity of O(n log n), making it efficient for large datasets.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Sorting Algorithms: What is the key concept behind the Quick Sort algorithm?

In-place sorting
External sorting
Stable sorting
Merge-and-sort
Divide-and-conquer

Answer explanation

Quick Sort is a divide-and-conquer algorithm that selects a pivot element and partitions the array around it.

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Recursion: What is the base case in recursion?

The first recursive call
The case that does not call itself
The maximum depth of recursion
The first input
The final return value

Answer explanation

The base case is the condition that stops the recursion by not making any further recursive calls.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Recursion Depth: What is the primary risk of deep recursion without a base case?

Infinite loop
Stack overflow
Memory leak
Heap exhaustion
Array out of bounds

Answer explanation

Deep recursion without a proper base case can lead to a stack overflow, as the call stack exceeds its limit.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Recursion vs Iteration: How does recursion differ from iteration?

Recursion is always faster
Recursion can replace iteration
Recursion uses more memory
Recursion is always safer
Recursion can eliminate loops

Answer explanation

Recursion typically uses more memory than iteration because it requires storing the call stack for each recursive call.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Structures: What is a primary advantage of using a hash table?

Ordered data
Efficient sorting
Constant-time complexity for search
Easy iteration
Minimal memory usage

Answer explanation

A hash table provides constant-time complexity for search operations, making it very efficient for lookups.

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Trees: What is the height of a tree with a single root node and no children?

0
1
2
Undefined
Infinite

Answer explanation

The height of a tree with only a root node is 0, as there are no other levels or nodes.

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