MCQ Collection
Data Structures MCQs
Practice Data Structures questions with answers and explanations.
Choose an option to check your answer.
A.
Quadratic Probing
B.
Priority Queue
C.
Selection Sort
D.
Splay Tree
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Correct Answer: D. Splay Tree
Explanation:
Splay Tree fits because it supports workloads with strong locality of reference and recently accessed elements become quicker to access again.
Choose an option to check your answer.
A.
B-Tree
B.
Recursion Stack
C.
Complete Binary Tree
D.
Queue
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Correct Answer: A. B-Tree
Explanation:
B-Tree is a balanced multiway search tree designed for block storage.
Choose an option to check your answer.
A.
Priority Queue
B.
In-Place Algorithm
C.
Linear Probing
D.
Binary Search Tree
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Correct Answer: D. Binary Search Tree
Explanation:
Binary Search Tree fits because it supports ordered searching and dynamic set operations and an inorder traversal produces keys in sorted order.
Choose an option to check your answer.
A.
AVL Tree
B.
Undirected Graph
C.
Radix Sort
D.
Hash Table
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Correct Answer: A. AVL Tree
Explanation:
AVL Tree is a self-balancing binary search tree with tightly controlled subtree heights.
Choose an option to check your answer.
A.
expressing a guaranteed minimum growth rate
B.
search-intensive applications requiring predictable logarithmic height
C.
implementing ordered maps and sets
D.
immediate reclamation when the count reaches zero
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Correct Answer: B. search-intensive applications requiring predictable logarithmic height
Explanation:
AVL Tree is commonly used for search-intensive applications requiring predictable logarithmic height.
Choose an option to check your answer.
A.
cycles can prevent unreachable objects from being reclaimed
B.
it is generally not stable
C.
each node's balance factor is typically -1, 0, or 1
D.
the probe gaps grow quadratically
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Correct Answer: C. each node's balance factor is typically -1, 0, or 1
Explanation:
The defining property is that each node's balance factor is typically -1, 0, or 1.
Choose an option to check your answer.
A.
Heap Sort
B.
Suffix Tree
C.
Max-Heap
D.
AVL Tree
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Correct Answer: D. AVL Tree
Explanation:
AVL Tree fits because it supports search-intensive applications requiring predictable logarithmic height and each node's balance factor is typically -1, 0, or 1.
Choose an option to check your answer.
A.
Red-Black Tree
B.
Complete Binary Tree
C.
Bubble Sort
D.
Segment Tree
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Correct Answer: A. Red-Black Tree
Explanation:
Red-Black Tree is a self-balancing binary search tree that uses node colors and structural rules.
Choose an option to check your answer.
A.
small or unsorted collections
B.
implementing ordered maps and sets
C.
fast pattern matching
D.
fast general-purpose in-memory sorting
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Correct Answer: B. implementing ordered maps and sets
Explanation:
Red-Black Tree is commonly used for implementing ordered maps and sets.
Choose an option to check your answer.
A.
event simulation and shortest-path algorithms
B.
ordered searching and dynamic set operations
C.
fixed-size buffering
D.
cache-friendly hash tables
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Correct Answer: B. ordered searching and dynamic set operations
Explanation:
Binary Search Tree is commonly used for ordered searching and dynamic set operations.
Choose an option to check your answer.
A.
both front and rear operations can be efficient
B.
traversal can continue cyclically without reaching a null link
C.
an inorder traversal produces keys in sorted order
D.
its main operations are find and union
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Correct Answer: C. an inorder traversal produces keys in sorted order
Explanation:
The defining property is that an inorder traversal produces keys in sorted order.
Choose an option to check your answer.
A.
Perfect Binary Tree
B.
Big-Theta Notation
C.
Red-Black Tree
D.
Heap Sort
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Correct Answer: A. Perfect Binary Tree
Explanation:
Perfect Binary Tree is a binary tree in which all internal nodes have two children and all leaves are at the same depth.
