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Data Structures and Algorithms MCQs | Objective Questions Answers

(21) The complexity of linear search algorithm is
[A] O(n)
[B] O(log n)
[C] O(n2)
[D] O(n log n)

Comment

Answer: Option [A]
(22) The complexity of Binary search algorithm is
[A] O(n)
[B] O(log n)
[C] O(n2)
[D] O(n log n)

Comment

Answer: Option [B]

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(23) The complexity of Bubble sort algorithm is
[A] O(n)
[B] O(log n)
[C] O(n2)
[D] O(n log n)

Comment

Answer: Option [C]
(24) The complexity of merge sort algorithm is
[A] O(n)
[B] O(log n)
[C] O(n2)
[D] O(n log n)

Comment

Answer: Option [D]
(25) The space factor when determining the efficiency of algorithm is measured by
[A] Counting the maximum memory needed by the algorithm
[B] Counting the minimum memory needed by the algorithm
[C] Counting the average memory needed by the algorithm
[D] Counting the maximum disk space needed by the algorithm

Comment

Answer: Option [A]
(26) The operation of processing each element in the list is known as
[A] Traversal
[B] Inserting
[C] Merging
[D] Sorting

Comment

Answer: Option [A]
(27) Binary trees with threads are called as.......
[A] Special trees
[B] Pointer trees
[C] Threaded trees
[D] None of the above

Comment

Answer: Option [C]
(28) In Binary trees nodes with no successor are called......
[A] End nodes
[B] Final nodes
[C] Last nodes
[D] Terminal nodes

Comment

Answer: Option [D]
(29) The depth of a complete binary tree is given by
[A] Dn = n log2n
[B] Dn = n log2n+1
[C] Dn = log2n
[D] Dn = log2n+1

Comment

Answer: Option [D]
(30) Every node N in a binary tree T except the root has a unique parent called the ......... of N.
[A] Predecessor
[B] Antecedents
[C] Precursor
[D] None of the above

Comment

Answer: Option [A]

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