In the context of hash tables, what does a high load factor indicate?
Lower memory usage.
A more efficient hash function is being used.
Faster insertion operations.
A higher probability of collisions.
You are implementing an LRU (Least Recently Used) cache with a fixed capacity. Which data structure combination would be most suitable for efficiently managing the cache?
Hashmap + Doubly Linked List
Binary Search Tree + Heap
Hashmap + Stack
Array + Queue
What is the primary reason for using a prime number as the size of a hash table in many implementations?
To increase the speed of hash function computation.
To make the implementation of the hash table simpler.
To ensure an even distribution of keys across the hash table, reducing collisions.
To minimize the memory usage of the hash table.
What is the primary advantage of using a universal hash function?
It provides better performance than any single, fixed hash function.
It eliminates the possibility of collisions entirely.
It makes the hash table resistant to attacks that exploit patterns in the hash function.
It ensures constant-time performance for all operations.
How can a hash flooding attack impact the performance of a web server using a hashmap to store session data?
It has no impact on performance, as hash flooding attacks only target data integrity.
It can cause a denial-of-service by forcing the server to handle a large number of collisions.
It can improve the efficiency of the hashmap by distributing data more evenly.
It can lead to increased memory usage and faster response times.
In Python, what is the purpose of the __hash__ method when used in conjunction with dictionaries?
__hash__
To determine the maximum number of elements that can be stored in the dictionary before resizing.
To define a custom sorting order for keys in the dictionary.
To provide a mechanism for iterating over the key-value pairs in the dictionary.
To specify how a custom object should be converted into a hash value for use as a key.
You are designing a system to store and retrieve frequently accessed data with high performance. Which of the following hash table collision resolution strategies would generally offer the BEST performance under high load factors?
Double Hashing
Quadratic Probing
Separate Chaining
Linear Probing
In a hash table using double hashing, the second hash function is used to:
Determine the initial index to store the key.
Calculate the size of the hash table.
Generate a new key if a collision occurs.
Determine the step size for probing in case of a collision.
In a web server implemented using a hashmap to store cached web pages, which collision resolution strategy is generally preferred for its performance in handling a high volume of concurrent requests?
Separate Chaining with linked lists
Separate Chaining with balanced binary search trees
Open Addressing with linear probing
Python dictionaries use open addressing for collision resolution. Which of the following techniques helps mitigate the performance degradation caused by clustering in open addressing?
Using a cryptographic hash function
Linear Probing with a prime step size
Robin Hood Hashing