Computer Knowledge
Data Structures and Algorithms
1,518 Questions
Data Structures and Algorithms form the core of computer science, focusing on arrays, linked lists, trees, and sorting mechanisms. These concepts are essential for solving complex computational problems efficiently. Test takers preparing for technical and administrative IT exams will find these questions highly relevant.
Array OperationsLinked List ApplicationsSorting AlgorithmsTree Data StructuresMultilevel IndexingAlgorithm Time Complexity
Data Structures and Algorithms Questions
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O(n2)
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O(nlogn)
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O(logn)
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O(n)
A
Correct answer
Explanation
Selection sort always performs a nested loop to find the minimum element, resulting in O(n^2) complexity regardless of the initial order of elements.
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O(n2)
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O(nlogn)
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O(logn)
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O(n)
A
Correct answer
Explanation
Bubble sort compares adjacent elements in nested loops, leading to O(n^2) in the worst case when the array is sorted in reverse order.
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O(n2)
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O(nlogn)
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O(logn)
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O(n)
B
Correct answer
Explanation
Merge sort guarantees O(n log n) time complexity in all cases, including the worst case, because the splitting and merging steps are always balanced.
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O(n2)
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O(nlogn)
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O(logn)
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O(n)
A
Correct answer
Explanation
In the worst case, such as a reverse-sorted array, every element must be compared and shifted across all previously sorted elements, leading to O(n^2).
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O(n2)
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O(nlogn)
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O(logn)
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O(n)
A
Correct answer
Explanation
Quick sort's worst-case complexity is O(n^2), which occurs when the pivot selection consistently results in highly unbalanced partitions.
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O(log2 n)
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O(n)
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O(1)
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O(n2)
B
Correct answer
Explanation
In an unsorted linked list, you must traverse the list node by node to find a specific element. This linear search takes O(n) time in the worst case.
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O(1)
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O(log2 n)
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O(n)
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O(n log2 n)
A
Correct answer
Explanation
If you have a pointer to an element, deleting its successor involves updating the current node's next pointer to skip the successor. This operation is constant time, O(1).
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Fixed length storage structure
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Variable length storage with fixed maximum
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Linked list storage
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Array type storage
C
Correct answer
Explanation
Linked lists are dynamic structures that allow for efficient insertion and deletion by simply updating pointers. Unlike arrays, they do not require shifting elements, making them ideal for frequent modifications.
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O(1)
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O(log2 n)
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O(n)
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O(n log2 n)
A
Correct answer
Explanation
Inserting an element after a given node in a linked list only requires updating the next pointers of the current node and the new node. This is an O(1) operation.
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depth first order
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breadth first order
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topological order
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linear order
A
Correct answer
Explanation
Pre-order traversal (Root, Left, Right) is a form of depth-first search where the root is visited before its subtrees. DFS explores as deep as possible along each branch before backtracking.
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Post order
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In order
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Pre order
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None of these
B
Correct answer
Explanation
In-order traversal of a binary search tree visits nodes in the order: Left, Root, Right. Because of the BST property, this sequence results in nodes being visited in ascending order.
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Pre oder traversal
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Post order traversal
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In order traversal
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Top-down traversal
C
Correct answer
Explanation
A binary search tree stores keys in sorted order relative to their nodes. An in-order traversal (Left, Root, Right) visits nodes in ascending sorted order, perfect for producing a sorted array.
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Singly linked list
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Doubly linked list
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Circular doubly linked list
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Array implementation
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Greedy
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Depth-First Search
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Dyanamic Programming
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Divide & Conquer
D
Correct answer
Explanation
Quick sort uses the divide and conquer paradigm by partitioning the array around a pivot and recursively sorting the sub-arrays.
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O
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O(n)
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O (logn)
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None of these