Which of the following is a benefit of combining string processing with data compression? Enhanced data storage efficiency Increased data complexity Decreased algorithm speed Increased error rates

Enhanced data storage efficiency

What is the primary purpose of a hash table in computer science? To sort data in ascending order To store large amounts of data sequentially To provide efficient data storage and retrieval To encrypt data for security purposes

To provide efficient data storage and retrieval

What is a hash collision? When a hash function generates the same hash for different inputs When a hash table is full When data is lost during hashing When a hash function fails to produce a hash

When a hash function generates the same hash for different inputs

What is the load factor in a hash table? The ratio of filled slots to the total number of slots The speed at which a hash table can be loaded The average number of collisions per slot The total number of hash functions used

The ratio of filled slots to the total number of slots

In double hashing, what is the purpose of the second hash function? To encrypt the data To reduce the size of the hash table To resolve collisions by providing a different step size To sort the data in the hash table

To resolve collisions by providing a different step size

What is the primary purpose of a hash table in computer science? To sort data in ascending order To provide efficient data storage and retrieval To compress data for storage To encrypt data for security

To provide efficient data storage and retrieval

Which of the following is TRUE about hash functions? They can map multiple keys to a single index They always produce unique outputs for different inputs They are used to sort data They compress data into smaller sizes

They can map multiple keys to a single index

What is the load factor in the context of hash tables? The ratio of the number of keys to the table size The average search time for a key The size of each hash entry The number of collisions encountered

The ratio of the number of keys to the table size

In double hashing, how is the second hash function used? To encrypt the data To determine the initial index To calculate a new index after a collision To sort the entries in the table

To calculate a new index after a collision

Which of these is a potential disadvantage of hash tables? They are slow for large datasets They require complex sorting algorithms They can have inefficient memory usage due to collisions They do not support dynamic resizing

They can have inefficient memory usage due to collisions

How does quadratic probing differ from linear probing? It uses a constant increment for next index It uses a quadratic function to find the next index It sorts entries by key value It requires more memory

It uses a quadratic function to find the next index

What is one advantage of using hash tables over binary search trees? Hash tables handle sorted data better Hash tables have faster average lookup times Hash tables use less memory Hash tables are easier to implement

Hash tables have faster average lookup times

What is a hash table primarily used for in computer science? Efficient data storage and retrieval Sorting algorithms Data compression Graphic rendering

Efficient data storage and retrieval

Which of the following best describes a hash function? A function that converts input into a fixed-size string of characters A function that sorts data A function that compresses data A function that renders graphics

A function that converts input into a fixed-size string of characters

In the context of hash tables, what is 'chaining'? Storing multiple elements in the same bucket using linked lists Combining multiple hash functions Linking tables together Sorting elements by hash values

Storing multiple elements in the same bucket using linked lists

What is 'open addressing' in hash tables? A collision resolution method where each entry is stored directly in the table A method for encrypting data A way to sort hash values A technique for data compression

A collision resolution method where each entry is stored directly in the table

What is 'load factor' in the context of hash tables? The ratio of the number of elements to the table size The speed of data retrieval The efficiency of the hash function The time complexity of insertion

The ratio of the number of elements to the table size

Why are hash tables important for data storage? They provide constant time complexity for search operations on average They use minimal memory They automatically sort data They encrypt data

They provide constant time complexity for search operations on average

Which statement is true about hash functions? They should distribute keys uniformly They should sort data efficiently They should compress data They should always produce the same output for different inputs

They should distribute keys uniformly

What is a stable sorting algorithm? An algorithm that maintains the relative order of equal elements An algorithm that minimizes time complexity An algorithm that uses minimal memory space An algorithm that sorts in descending order

An algorithm that maintains the relative order of equal elements

Which of the following is a feature of adaptive sorting algorithms? They take advantage of existing order in the data They are inherently unstable They always use additional memory They are slower on average than non-adaptive algorithms

They take advantage of existing order in the data

Why is Bubble Sort considered stable? It swaps adjacent elements only if they are out of order It uses a divide and conquer approach It is a non-comparison based algorithm It requires additional memory for sorting

It swaps adjacent elements only if they are out of order

What does 'adaptive' mean in the context of sorting algorithms? The algorithm adapts its behavior to improve efficiency based on the input data's existing order The algorithm changes the data type during sorting It means the algorithm can sort data of various types The algorithm uses a fixed sorting strategy regardless of input

The algorithm adapts its behavior to improve efficiency based on the input data's existing order

What is a key advantage of adaptive algorithms over non-adaptive ones? They can be more efficient with partially sorted data They always use less memory They are faster in all cases They produce more compact code

They can be more efficient with partially sorted data

Which of the following describes a non-adaptive sorting algorithm? Sorts data in a fixed manner without optimizing for pre-existing order Uses pre-existing order to improve efficiency Requires additional space proportional to input size Changes its sorting strategy based on input size

Sorts data in a fixed manner without optimizing for pre-existing order

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