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Data Structures MCQs with Answers

Practice important Data Structures MCQs with answers and explanations.

Multiple Choice Questions

Q661: How does Quadratic Probing resolve collisions differently from Linear Probing?
  • A: It adds the square of the probe number to the index
  • B: It uses a linked list to store data
  • C: It searches for the next empty slot sequentially
  • D: It rehashes the data with a new hash function
View Answer
A

Q662: What is a characteristic of Linked List Chaining in hash tables?
  • A: It stores data in a list at each index
  • B: It stores data sequentially in the table
  • C: It uses multiple hash functions
  • D: It avoids all collisions
View Answer
B

Q663: When using hashing with linked lists, what happens when two keys hash to the same index?
  • A: Both keys are stored in a linked list at that index
  • B: The second key overwrites the first
  • C: The second key is stored in the next available slot
  • D: The first key is removed and replaced with the second key
View Answer
A

Q664: What is the typical hash function used in hashing animations mentioned in the content?
  • A: `mod 10`
  • B: `mod 50`
  • C: `mod 75`
  • D: `mod 100`
View Answer
D

Q665: In the given hashing animation example, how is the hash value determined?
  • A: By adding a constant to the key
  • B: By multiplying the key by a constant
  • C: By taking the modulus of the key with a number
  • D: By applying a series of hash functions
View Answer
C

Q666: What issue is commonly observed when using Linear Probing for collision resolution?
  • A: Clustering of keys
  • B: Underflow of the hash table
  • C: Overflow of the hash table
  • D: Hash values are not unique
View Answer
A

Q667: How does Quadratic Probing handle collisions differently from Linear Probing?
  • A: It uses quadratic increments to resolve collisions
  • B: It uses linear increments
  • C: It stores colliding keys in a linked list
  • D: It rehashes the keys with a new hash function
View Answer
A

Q668: Which of the following is a situation where hashing is highly useful?
  • A: When frequent searches are needed in a stable table
  • B: When frequent insertions and deletions are required
  • C: When entries need to be sorted
  • D: When table traversal is needed
View Answer
A

Q669: Why might hashing not be suitable when the data needs to be sorted?
  • A: Hash tables do not maintain order
  • B: Sorting is faster with hash tables
  • C: Hash tables are always sorted by default
  • D: Hashing algorithms sort data automatically
View Answer
A

Q670: What is a key advantage of using hash tables for spell checking?
  • A: Hash tables provide constant time lookup for words
  • B: Hash tables sort words alphabetically
  • C: Hash tables correct spelling mistakes automatically
  • D: Hash tables are faster than other data structures
View Answer
A

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