Data Structures MCQs with Answers
Practice important Data Structures MCQs with answers and explanations.
Multiple Choice Questions
Q411: Which traversal method produces an expression without parentheses from an expression tree?
- A: Preorder
- B: Postorder
- C: Inorder
- D: Level-order
View Answer
B
Q412: What is the key advantage of using Huffman Encoding for data compression?
- A: It increases the size of data
- B: It reduces the size of data without losing information
- C: It converts data into plain text
- D: It directly increases the speed of data transmission
View Answer
B
Q413: In Huffman Encoding, what does each node in the binary tree represent?
- A: A frequency value
- B: A character and its frequency
- C: A data chunk
- D: An encoded binary sequence
View Answer
B
Q414: How does Huffman Encoding ensure that no code is a prefix of another?
- A: By using fixed-length codes
- B: By encoding with random binary patterns
- C: By creating a binary tree where each code is uniquely assignable
- D: By converting the entire text into one continuous binary string
View Answer
C
Q415: What is the main disadvantage of using Huffman Encoding?
- A: It cannot compress text effectively
- B: It may result in longer codes for certain characters
- C: It requires the entire data to be known before encoding
- D: It results in loss of some data
View Answer
C
Q416: In the process of converting an infix expression to a postfix expression, what data structure is primarily used?
- A: Stack
- B: Queue
- C: Tree
- D: Array
View Answer
A
Q417: Which method of traversal can be used to output an expression tree in prefix notation?
- A: Postorder
- B: Inorder
- C: Preorder
- D: Level-order
View Answer
C
Q418: What happens when you perform a postorder traversal on an expression tree with the expression a + b * c * d?
- A: You get the expression as a b c d * * +
- B: You get the expression as a b c * d * +
- C: You get the expression as a * b c d +
- D: You get the expression as a b c d * +
View Answer
A
Q419: How does the Huffman algorithm start building the encoding tree?
- A: By picking the two nodes with the highest frequency
- B: By picking the two nodes with the lowest frequency
- C: By combining nodes at random
- D: By sorting all nodes by their ASCII values
View Answer
B
Q420: What is the final step in building a Huffman tree?
- A: Encode the data
- B: Traverse the tree
- C: Combine the two nodes with the highest frequency
- D: Output the encoded data
View Answer
C