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Welcome to the Sorting and Searching MCQs Page

Dive deep into the fascinating world of Sorting and Searching with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Sorting and Searching, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Sorting and Searching, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Structures and Algorithms.

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Check out the MCQs below to embark on an enriching journey through Sorting and Searching. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Structures and Algorithms.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Sorting and Searching. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Sorting and Searching MCQs | Page 22 of 24

Q211.
In addition to the pancake sorting problem, there is the case of the burnt pancake problem in which we are dealing with pancakes (discs) that are burnt on one side only. In this case it is taken that the burnt side must always end up _______
Discuss
Answer: (a).Faced down
Q212.
In a computational complexity theory, a problem with decision making is said to be NP-complete when it is both in NP and NP-hard. What does NP mean?
Discuss
Answer: (c).Non-deterministic Polynomial time
Q213.
When we realize a specific implementation of a pancake algorithm, every move when we find the greatest of the sized array and flipping can be modeled through __________
Discuss
Answer: (d).Permutations
Q214.
The Pancake Problems (1975, 1979, 1973) did NOT involve which of the following people?
Discuss
Answer: (d).John Goodman
Q215.
There is a one line error in the following routine. Find that line.
1.     int Max(int a[], int n)
  2.    {
  3.    int mi, i;
  4.    for (mi = 0, i = 0; i < n; i++)
  5.    if (a[i] > a[mi])
  6.    mi = i;
  7.    return mi;
  8.    }
Discuss
Answer: (b).Line 4
Q216.
Topological sort can be applied to which of the following graphs?
Discuss
Answer: (d).Directed Acyclic Graphs
Q217.
Most Efficient Time Complexity of Topological Sorting is? (V – number of vertices, E – number of edges)
Discuss
Answer: (a).O(V + E)
Q218.
Topological sort starts from a node which has?
Discuss
Answer: (b).Minimum Degree
Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (c).Sometimes unique and sometimes not unique

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