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All questions of Priority Queue for Software Development Exam
What is the time complexity of inserting an element into a priority queue implemented using a binary heap?- a)O(log n)
- b)O(n)
- c)O(1)
- d)O(n^2)
Correct answer is option 'A'. Can you explain this answer?
What is the time complexity of inserting an element into a priority queue implemented using a binary heap?
a)
O(log n)
b)
O(n)
c)
O(1)
d)
O(n^2)
|
Ritesh Kumar Shivhare answered |
Inserting an element into a priority queue implemented using a binary heap takes O(log n) time complexity in the worst case, where n is the number of elements in the heap.
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Which of the following is NOT a valid application of a priority queue?- a)Dijkstra's algorithm for finding the shortest path
- b)Huffman coding for data compression
- c)Breadth-first search traversal of a graph
- d)Depth-first search traversal of a graph
Correct answer is option 'D'. Can you explain this answer?
Which of the following is NOT a valid application of a priority queue?
a)
Dijkstra's algorithm for finding the shortest path
b)
Huffman coding for data compression
c)
Breadth-first search traversal of a graph
d)
Depth-first search traversal of a graph
|
|
Ritesh Kumar Shivhare answered |
Priority queues are not typically used in depth-first search (DFS) traversals of graphs. DFS uses a stack-based approach rather than a priority-based approach.
In a priority queue, the element with the highest priority is always placed at the:- a)Front of the queue
- b)End of the queue
- c)Middle of the queue
- d)Random position in the queue
Correct answer is option 'A'. Can you explain this answer?
In a priority queue, the element with the highest priority is always placed at the:
a)
Front of the queue
b)
End of the queue
c)
Middle of the queue
d)
Random position in the queue
|
|
Ritesh Kumar Shivhare answered |
In a priority queue, the element with the highest priority is always placed at the front (or top) of the queue.
Which of the following operations can be performed in constant time on a priority queue?- a)Insertion
- b)Deletion
- c)Finding the minimum element
- d)None of the above
Correct answer is option 'C'. Can you explain this answer?
Which of the following operations can be performed in constant time on a priority queue?
a)
Insertion
b)
Deletion
c)
Finding the minimum element
d)
None of the above
|
Neeraj Singh Kushwah answered |
A priority queue supports finding the minimum element in constant time. The minimum element is always at the front (or top) of the queue.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<int, std::vector<int>, std::greater<int>> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}- a)10
- b)5
- c)15
- d)3
Correct answer is option 'D'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<int, std::vector<int>, std::greater<int>> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}
std::priority_queue<int, std::vector<int>, std::greater<int>> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}
a)
10
b)
5
c)
15
d)
3
|
|
Ritesh Kumar Shivhare answered |
This code creates a priority queue with a custom comparator function 'std::greater<int>', which makes the queue a min heap instead of the default max heap. So, the 'top()' function retrieves the smallest element, which is 3 in this case.
Which of the following is NOT a valid implementation of a priority queue?- a)Binary Heap
- b)Fibonacci Heap
- c)AVL Tree
- d)Hash Map
Correct answer is option 'C'. Can you explain this answer?
Which of the following is NOT a valid implementation of a priority queue?
a)
Binary Heap
b)
Fibonacci Heap
c)
AVL Tree
d)
Hash Map
|
Simar Sharma answered |
AVL trees are self-balancing binary search trees and are not commonly used to implement a priority queue. Binary heaps, Fibonacci heaps, and hash maps are often used for priority queue implementations.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
while (!pq.empty()) {
std::cout << pq.top() << " ";
pq.pop();
}
return 0;
}- a)3 5 10 15
- b)15 10 5 3
- c)3 10 5 15
- d)15 5 10 3
Correct answer is option 'B'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
while (!pq.empty()) {
std::cout << pq.top() << " ";
pq.pop();
}
return 0;
}
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
while (!pq.empty()) {
std::cout << pq.top() << " ";
pq.pop();
}
return 0;
}
a)
3 5 10 15
b)
15 10 5 3
c)
3 10 5 15
d)
15 5 10 3
|
|
Ritesh Kumar Shivhare answered |
The code creates a priority queue and pushes elements 10, 5, 15, and 3 into it. Then it uses a loop to repeatedly print the top element and remove it from the queue. The elements are printed in descending order because the priority queue is implemented as a max heap.
Which of the following data structures can be used to implement a priority queue other than a binary heap?- a)AVL Tree
- b)Red-Black Tree
- c)B-Tree
- d)All of the above
Correct answer is option 'D'. Can you explain this answer?
Which of the following data structures can be used to implement a priority queue other than a binary heap?
a)
AVL Tree
b)
Red-Black Tree
c)
B-Tree
d)
All of the above
|
Yogesh Dwivedi answered |
AVL trees, Red-Black trees, and B-trees can be used to implement a priority queue. However, binary heaps are more commonly used due to their simplicity and efficiency.
What is the time complexity of finding the maximum element in a priority queue implemented using a binary heap?- a)O(1)
- b)O(log n)
- c)O(n)
- d)O(n log n)
Correct answer is option 'B'. Can you explain this answer?
What is the time complexity of finding the maximum element in a priority queue implemented using a binary heap?
a)
O(1)
b)
O(log n)
c)
O(n)
d)
O(n log n)
|
|
Neeraj Singh Kushwah answered |
Finding the maximum element in a priority queue implemented using a binary heap takes O(log n) time complexity because it involves traversing the heap's height.
Which of the following operations can be performed on a priority queue?- a)Insertion
- b)Deletion
- c)Both Insertion and Deletion
- d)None of the above
Correct answer is option 'C'. Can you explain this answer?
Which of the following operations can be performed on a priority queue?
a)
Insertion
b)
Deletion
c)
Both Insertion and Deletion
d)
None of the above
|
|
Ritesh Kumar Shivhare answered |
A priority queue supports both insertion and deletion operations efficiently. Elements are inserted based on their priority, and the element with the highest priority can be removed efficiently.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.push(10);
std::cout << pq.size();
return 0;
}- a)4
- b)5
- c)6
- d)10
Correct answer is option 'B'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.push(10);
std::cout << pq.size();
return 0;
}
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.push(10);
std::cout << pq.size();
return 0;
}
a)
4
b)
5
c)
6
d)
10
|
Tanuj Arora answered |
The code creates a priority queue and pushes elements 10, 5, 15, 3, and 10 into it. The 'size()' function returns the number of elements in the queue, which is 5 in this case.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}- a)10
- b)5
- c)15
- d)3
Correct answer is option 'A'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
std::cout << pq.top();
return 0;
}
a)
10
b)
5
c)
15
d)
3
|
|
Ritesh Kumar Shivhare answered |
The code creates a priority queue and pushes elements 10, 5, 15, and 3 into it. The 'top()' function retrieves the element with the highest priority, which is 10 in this case.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<std::pair<int, int>> pq;
pq.push({1, 5});
pq.push({2, 3});
pq.push({3, 7});
pq.push({4, 1});
while (!pq.empty()) {
auto p = pq.top();
std::cout << "(" << p.first << ", " << p.second << ") ";
pq.pop();
}
return 0;
}- a)(1, 5) (2, 3) (3, 7) (4, 1)
- b)(4, 1) (3, 7) (2, 3) (1, 5)
- c)(4, 1) (2, 3) (1, 5) (3, 7)
- d)(1, 5) (4, 1) (3, 7) (2, 3)
Correct answer is option 'A'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<std::pair<int, int>> pq;
pq.push({1, 5});
pq.push({2, 3});
pq.push({3, 7});
pq.push({4, 1});
while (!pq.empty()) {
auto p = pq.top();
std::cout << "(" << p.first << ", " << p.second << ") ";
pq.pop();
}
return 0;
}
std::priority_queue<std::pair<int, int>> pq;
pq.push({1, 5});
pq.push({2, 3});
pq.push({3, 7});
pq.push({4, 1});
while (!pq.empty()) {
auto p = pq.top();
std::cout << "(" << p.first << ", " << p.second << ") ";
pq.pop();
}
return 0;
}
a)
(1, 5) (2, 3) (3, 7) (4, 1)
b)
(4, 1) (3, 7) (2, 3) (1, 5)
c)
(4, 1) (2, 3) (1, 5) (3, 7)
d)
(1, 5) (4, 1) (3, 7) (2, 3)
|
|
Tanuj Arora answered |
The code creates a priority queue of pairs of integers. Each pair represents an element with its associated priority. The pairs (1, 5), (2, 3), (3, 7), and (4, 1) are pushed into the queue. The 'top()' function retrieves the pair with the highest priority, which is (1, 5) in this case.
Which of the following data structure is used to implement a priority queue efficiently?- a)Array
- b)Linked List
- c)Heap
- d)Stack
Correct answer is option 'C'. Can you explain this answer?
Which of the following data structure is used to implement a priority queue efficiently?
a)
Array
b)
Linked List
c)
Heap
d)
Stack
|
Codebreakers answered |
A heap is a specialized tree-based data structure that satisfies the heap property. It is commonly used to implement a priority queue efficiently.
What will be the output of the following code?
#include <iostream>
#include <queue>int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.pop();
std::cout << pq.top();
return 0;
}- a)10
- b)5
- c)15
- d)3
Correct answer is option 'C'. Can you explain this answer?
What will be the output of the following code?
#include <iostream>
#include <queue>
#include <iostream>
#include <queue>
int main() {
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.pop();
std::cout << pq.top();
return 0;
}
std::priority_queue<int> pq;
pq.push(10);
pq.push(5);
pq.push(15);
pq.push(3);
pq.pop();
std::cout << pq.top();
return 0;
}
a)
10
b)
5
c)
15
d)
3
|
|
Yogesh Dwivedi answered |
The code creates a priority queue and pushes elements 10, 5, 15, and 3 into it. After that, the 'pop()' function removes the element with the highest priority (which is 15), and the 'top()' function retrieves the new highest priority element, which is 10.
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