Understanding Hash Tables

This video provides an introduction to hash tables, explaining their structure and how they utilize hashing and hash functions. It covers the primary operations of hash tables: put, get, and remove, and discusses their efficiency. The video also demonstrates a simple hash table implementation using a hash function and addresses the issue of collisions, with a promise to explore collision resolution strategies in future videos.

What is the primary data structure used internally by a hash table?

• Graph

• Linked List

• Array

• Tree

How does a hash table store data?

• As a binary tree

• In key-value pairs

• Using a stack

• In a sequential list

What is the purpose of a hash function in a hash table?

• To encrypt the data

• To sort the keys

• To generate an index for storing data

• To compress the data

What is the average time complexity for operations in a hash table?

• O(1)

• O(n^2)

• O(log n)

• O(n)

What happens when a new value is added with an existing key in a hash table?

• An error is thrown

• Both values are stored

• The new value is ignored

• The old value is updated with the new value

Which Java class is similar to a hash table for handling key-value pairs?

• HashMap

• LinkedList

• ArrayList

• TreeSet

Which Java class is used when only keys need to be stored without values?

• HashSet

• ArrayList

• LinkedList

• HashMap

What is a collision in the context of hash tables?

• When two keys generate the same index

• When the table is full

• When a key cannot be found

• When a value is duplicated

What is the result of the hash function 'p mod size' when p is 5 and size is 10?

• 10

• 15

• 5

• 0

What is the main issue addressed by collision resolution strategies in hash tables?

• Data encryption

• Index sorting

• Managing multiple values at the same index

• Handling duplicate keys