Master Hashing Techniques: Enhance Data Storage and Retrieval

Question 1

What is the primary distinction between linear probing and quadratic probing?

Accepted Answer

Collision resolution pattern

Answer

Increment size

Answer

Storage complexity

Answer

Time complexity

Question 2

In the worst-case scenario, what is the time complexity of searching for an element in a hash table using chaining?

Accepted Answer

O(n)

Answer

O(1)

Answer

O(log n)

Answer

O(n^2)

Question 3

In the context of hashing, what is the load factor of a hash table?

Accepted Answer

The ratio of occupied slots to the total number of slots in the hash table

Answer

The total number of keys stored in the hash table

Answer

The maximum number of keys that can be stored in the hash table

Answer

The average number of collisions per key

Question 4

Which of the following is a potential drawback of using open addressing for collision resolution?

Accepted Answer

It can result in primary clustering, affecting performance.

Answer

It requires more memory compared to chaining.

Answer

It is more challenging to implement than chaining.

Answer

It does not provide any guarantees regarding performance.

Question 5

Hashing primarily aims to:

Accepted Answer

Enhance data retrieval speed

Answer

Reduce data storage space

Answer

Guarantee data integrity

Answer

Encrypt data securely

Question 6

Collision resolution techniques are employed to:

Accepted Answer

Resolve conflicts when multiple keys map to the same hash value

Answer

Prevent data loss due to hash collisions

Answer

Enhance the efficiency of hash function computations

Answer

Guarantee unique hash values for all keys

Question 7

Linear probing's primary drawback is:

Accepted Answer

Potential for primary and secondary clustering

Answer

Requirement for additional overflow space

Answer

Inferior efficiency compared to quadratic probing

Answer

Unsuitability for extensive hash tables

Question 8

Which hash function type aims to minimize collisions?

Accepted Answer

Perfect hashing

Answer

Division method

Answer

Multiplication method

Answer

Mid-square method

Question 9

The advantage of using a perfect hash function is that it:

Accepted Answer

Eliminates collisions entirely

Answer

Reduces average search time

Answer

Simplifies collision resolution implementation

Answer

Improves hash table space efficiency

Question 10

Which collision resolution technique involves storing colliding elements in a separate overflow bucket?

Accepted Answer

Chaining

Answer

Open addressing

Answer

Linear probing

Answer

Quadratic probing

Question 11

What is the primary purpose of a load factor in a hash table?

Accepted Answer

To indicate the percentage of occupied slots in the table

Answer

To assess the effectiveness of the hash function

Answer

To control the number of collisions that occur

Answer

To dynamically adjust the size of the hash table

Question 12

Which type of hashing function is designed to minimize collisions when dealing with keys of varying length?

Accepted Answer

Universal hashing

Answer

Division method

Answer

Multiplication method

Answer

Linear probing

Question 13

Which of the following is NOT a factor to consider when selecting a hash function?

Accepted Answer

Reversible computation

Answer

Uniform distribution of output values

Answer

Deterministic behaviour

Answer

Computational efficiency

Question 14

In a hash table using linear probing for collision resolution, what is the worst-case time complexity for searching an element?

Accepted Answer

O(n)

Answer

O(1)

Answer

O(log n)

Answer

O(n^2)

Question 15

Which collision resolution technique involves storing overflowed elements in a separate list?

Accepted Answer

Chaining

Answer

Quadratic probing

Answer

Linear probing

Answer

Double hashing

Question 16

What is the primary purpose of a hash function?

Accepted Answer

To map input values to a smaller, fixed-size range

Answer

To compress input data for storage efficiency

Answer

To sort input values in ascending order

Answer

To generate unique identifiers for input values

Question 17

In the context of hashing, what does the load factor represent?

Accepted Answer

The ratio of elements in the hash table to the size of the hash table

Answer

The average number of elements in a hash table bucket

Answer

The number of collisions that occur during hashing

Question 18

Which data structure is commonly used to implement chaining in hash tables?

Accepted Answer

Linked List

Answer

Array

Answer

Binary Tree

Question 19

What is the purpose of double hashing in collision resolution?

Accepted Answer

To reduce clustering by using two different hash functions

Answer

To increase the size of the hash table

Answer

To store multiple values at the same hash table index

Question 20

Which of the following is a key application of hashing in databases?

Accepted Answer

Indexing data for efficient search

Answer

Generating unique identifiers for records

Answer

Compressing data for storage

Answer

Validating data integrity

Question 21

What is the worst-case time complexity for searching an element in a hash table with chaining?

Accepted Answer

O(n)

Answer

O(n^2)

Answer

O(log n)

Answer

O(1)

Question 22

Which of the following factors can impact the performance of a hash table?

Accepted Answer

Load factor, hash function quality, and collision resolution technique

Answer

Type of data being stored only

Answer

Size of the hash table only