Applications of Hashing: Enhance Data Management and Retrieval

Question 1

In a hash table, the process of determining the bucket where an element will be stored is called:

Accepted Answer

Hashing

Answer

Collision

Answer

Probing

Answer

Overflowing

Question 2

When the number of elements in a hash table approaches the table size, the performance of the hash table:

Accepted Answer

Degrades

Answer

Improves significantly

Answer

Remains the same

Answer

Becomes unpredictable

Question 3

Which of the following hash functions produces a fixed-length output regardless of the size of the input data?

Accepted Answer

Division method

Answer

Mid-square method

Answer

Folding method

Answer

Fibonacci method

Question 4

In a closed addressing hash table, an element that does not fit into any bucket is:

Accepted Answer

Stored in an overflow area

Answer

Discarded

Answer

Added to a new bucket

Answer

Moved to the next available bucket

Question 5

Which of the following factors does NOT affect the efficiency of a hash table?

Accepted Answer

Order of elements in the input data

Answer

Quality of the hash function

Answer

Collision resolution technique

Answer

Hash table size

Question 6

When using hashing for content-based image retrieval, which technique is commonly employed to enhance retrieval accuracy?

Accepted Answer

Feature extraction

Answer

Color quantization

Answer

Edge detection

Answer

Image segmentation

Question 7

For efficient password verification in a user authentication system, which data structure leverages hashing effectively?

Accepted Answer

Hash Table

Answer

Binary Search Tree

Answer

Linked List

Question 8

What is NOT a benefit of using hashing in data organization?

Accepted Answer

Guaranteed collision avoidance

Answer

Reduced data redundancy

Answer

Faster data retrieval

Answer

Improved data security

Question 9

Provide a concise definition of a Bloom filter.

Accepted Answer

A space-efficient probabilistic data structure for set membership testing

Answer

A hash table that employs linear probing for collision resolution

Answer

A data structure that exclusively stores unique elements

Answer

A filter that removes duplicate elements from a list

Question 10

Identify a potential challenge associated with the use of hashing in data management.

Accepted Answer

The occurrence of hash collisions

Answer

Excessive data duplication

Answer

Degraded performance under certain circumstances

Answer

Unacceptably high memory usage

Question 11

Which of the following is a key advantage of using hashing in data management?

Accepted Answer

Efficient storage and retrieval of data

Answer

Guaranteed collision-free operation

Answer

Automatic data compression

Answer

Enhanced data security

Question 12

What is a potential challenge that can arise when using hashing?

Accepted Answer

Collisions

Answer

Data loss

Answer

Slow lookup times

Answer

Memory leaks

Question 13

What is the purpose of the load factor in the context of hashing?

Accepted Answer

To determine the likelihood of collisions and optimize memory usage

Answer

To measure the efficiency of the hash function

Answer

To ensure data integrity

Answer

To facilitate fast retrieval times

Question 14

Which of the following is NOT a disadvantage of using hashing?

Accepted Answer

Guaranteed fast retrieval times

Answer

Potential for collisions

Answer

Limited range of hash values

Answer

Increased complexity compared to other data structures

Question 15

In hashing, what is the term for the numeric value that is generated by a hash function?

Accepted Answer

Hash value

Answer

Hash key

Answer

Hash index

Answer

Hash signature

Question 16

Which of the following is a disadvantage of using hashing?

Accepted Answer

Potential for collisions

Answer

Fast lookups

Answer

Reduced memory usage

Answer

Complex implementation

Question 17

What is the primary purpose of a hash function?

Accepted Answer

To map data to a fixed-size array

Answer

To generate random numbers

Answer

To sort data

Answer

To compress data

Question 18

In hashing, what is a collision?

Accepted Answer

When two keys map to the same hash value

Answer

When the hash table is full

Answer

When a key cannot be found in the hash table

Answer

When the hash function is poorly designed

Question 19

Which collision resolution technique involves storing the colliding key in a separate overflow area?

Accepted Answer

Chaining

Answer

Linear probing

Answer

Quadratic probing

Answer

Double hashing

Question 20

What does load factor measure in a hash table?

Accepted Answer

The ratio of the number of elements to the table's capacity

Answer

The number of collisions in the table

Answer

The size of the hash table in bytes

Answer

The number of searches performed on the table

Question 21

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

Accepted Answer

To measure the efficiency of the hash table and determine when it needs to be resized

Answer

To avoid collisions

Answer

To store the number of elements in the table

Answer

To resolve collisions

Question 22

Which of the following hash functions is non-deterministic?

Accepted Answer

Linear congruential generator

Answer

MD5

Answer

SHA-256

Answer

CRC32

Question 23

Which of the following is NOT an advantage of using hashing?

Accepted Answer

Enhanced data security

Answer

Fast and efficient lookup of data

Answer

Reduced storage requirements

Answer

Elimination of duplicate data

Question 24

What is the primary purpose of a hash function in hashing?

Accepted Answer

To generate a unique key for each data item

Answer

To store data in a specific order

Answer

To encrypt data for security

Answer

To compress data for storage

Question 25

Which collision resolution technique involves storing multiple key-value pairs in the same hash bucket?

Accepted Answer

Chaining

Answer

Open addressing

Answer

Quadratic probing

Answer

Double hashing

Question 26

Which data structure is typically used to implement chaining in hashing?

Accepted Answer

Linked list

Answer

Array

Answer

Queue

Answer

Stack

Question 27

What is the key difference between a hash function and a hash table?

Accepted Answer

A hash function generates a key, while a hash table stores key-value pairs

Answer

A hash table generates a key, while a hash function stores key-value pairs

Answer

A hash function is a type of hash table

Answer

A hash table is a type of hash function

Question 28

What is the primary use of a Bloom filter in hashing?

Accepted Answer

To estimate the number of elements in a set efficiently

Answer

To store large amounts of data efficiently

Answer

To resolve collisions in a hash table

Answer

To improve the search performance of a hash table

Question 29

Which of the following is NOT a defining characteristic of hashing?

Accepted Answer

Sequential data organization

Answer

Optimized data retrieval

Answer

Collision resolution mechanisms

Answer

Uniqueness of keys

Question 30

What is a key advantage of utilizing a hash table over a linked list for data management and retrieval?

Accepted Answer

Substantially faster lookup times

Answer

Reduced memory footprint

Answer

Automatic collision resolution

Answer

Support for duplicate keys

Question 31

What is the primary purpose of a bloom filter?

Accepted Answer

Efficiently determining the presence of an element in a set

Answer

Storing all elements of a set

Answer

Resolving collisions in hash tables

Answer

Enhancing the performance of hash functions

Question 32

Identify a potential disadvantage associated with hashing.

Accepted Answer

Overhead associated with collision handling

Answer

Memory fragmentation

Answer

Limited key space

Answer

Increased security risks

Question 33

Which of the following collision resolution techniques involves systematically probing subsequent locations in the hash table until an empty slot is found?

Accepted Answer

Linear probing

Answer

Quadratic probing

Answer

Double hashing

Answer

Chaining

Question 34

What is the primary purpose of a load factor in the context of hashing?

Accepted Answer

To determine the optimal number of keys that can be stored in the hash table

Answer

To measure the efficiency of the hashing algorithm

Answer

To prevent collisions

Answer

To organize keys in ascending order

Question 35

In the context of hashing, what is the primary purpose of a bucket?

Accepted Answer

To store a collection of keys that share the same hash value

Answer

To contain the hash function itself

Answer

To prevent collisions from occurring

Answer

To maintain the sorted order of keys

Question 36

Which of the following is NOT a key characteristic of hashing?

Accepted Answer

Preserves data insertion order

Answer

Enables efficient search and retrieval

Answer

Utilizes collision resolution techniques

Answer

Stores data in a fixed-size array

Question 37

A hash function primarily distributes data into buckets based on which factor?

Accepted Answer

Key values of the data

Answer

Order in which data is inserted

Answer

Size of the data

Answer

Arbitrary or random parameters

Question 38

Which collision resolution technique assigns data to the next empty bucket in sequence?

Accepted Answer

Linear probing

Answer

Chaining

Answer

Quadratic probing

Answer

Double hashing

Question 39

A load factor of 0.75 in a hash table indicates that:

Accepted Answer

75% of the hash table's buckets are occupied

Answer

25% of the table's buckets are unoccupied

Answer

25% of the data is lost due to collisions

Answer

75% of the buckets contain data collisions

Question 40

Which application commonly utilizes hashing to efficiently search for records in a large database?

Accepted Answer

Database indexing

Answer

Image processing

Answer

File compression

Answer

Data encryption

Question 41

In a hash table, which factor determines the index of the bucket where an element is stored?

Accepted Answer

The output of the hash function

Answer

The order in which the element was inserted

Answer

A randomly generated number

Answer

The size of the data

Question 42

When comparing hashing to binary search trees, which is a significant advantage of using hashing?

Accepted Answer

Faster search and retrieval operations

Answer

Efficient handling of duplicate values

Answer

Preservation of data insertion order

Question 43

An ideal hash function should strive to achieve:

Accepted Answer

Minimal collision rate and uniform distribution of output values

Answer

Predictable output values for specific inputs

Answer

Deterministic results regardless of input

Answer

Incredibly fast computation time

Question 44

Which collision resolution technique involves creating a linked list to store colliding elements?

Accepted Answer

Chaining

Answer

Quadratic probing

Answer

Double hashing

Answer

Linear probing