Hashing and Hash Tables - Applications

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Q. How can hash tables be used in caching mechanisms?
  • A. To store data in a linear fashion
  • B. To quickly access frequently used data
  • C. To sort data before retrieval
  • D. To encrypt sensitive information
Q. How do hash tables handle collisions?
  • A. By using a linked list for each bucket
  • B. By resizing the table
  • C. By ignoring the new entry
  • D. By using a binary search tree
Q. How do hash tables improve the performance of caching mechanisms?
  • A. By using linked lists for storage
  • B. By allowing quick access to cached data
  • C. By sorting data before caching
  • D. By using binary trees for organization
Q. In which scenario would you prefer a hash table over a binary search tree?
  • A. When you need to maintain sorted order
  • B. When you require frequent insertions and deletions
  • C. When you need to perform range queries
  • D. When you need constant time complexity for lookups
Q. What is a common application of hash tables in databases?
  • A. Storing data in a sorted manner
  • B. Fast data retrieval
  • C. Data compression
  • D. Data encryption
Q. What is a potential drawback of using hash tables?
  • A. They require more memory than arrays
  • B. They are slower than linked lists
  • C. They cannot handle collisions
  • D. They are not suitable for large datasets
Q. What is the primary purpose of a hash function in a hash table?
  • A. To sort the data
  • B. To generate unique keys
  • C. To map data to a fixed size
  • D. To encrypt the data
Q. What is the time complexity of inserting an element into a hash table in the average case?
  • A. O(n)
  • B. O(log n)
  • C. O(1)
  • D. O(n log n)
Q. What is the time complexity of searching for an element in a hash table in the average case?
  • A. O(n)
  • B. O(log n)
  • C. O(1)
  • D. O(n log n)
Q. What is the time complexity of searching for an element in a well-designed hash table?
  • A. O(n)
  • B. O(log n)
  • C. O(1)
  • D. O(n log n)
Q. Which application of hash tables is most suitable for implementing a phone book?
  • A. Storing names in alphabetical order
  • B. Quickly retrieving phone numbers by name
  • C. Sorting phone numbers
  • D. Finding the longest name
Q. Which application would benefit most from using a hash table?
  • A. Finding the shortest path in a graph
  • B. Storing user sessions in a web application
  • C. Sorting a list of numbers
  • D. Performing binary search on a sorted array
Q. Which of the following applications can benefit from hash tables?
  • A. Implementing a stack
  • B. Storing user sessions in web applications
  • C. Performing depth-first search
  • D. Sorting a list of numbers
Q. Which of the following hashing techniques can help reduce collisions?
  • A. Chaining
  • B. Linear probing
  • C. Quadratic probing
  • D. All of the above
Q. Which of the following is a benefit of using hash tables for implementing sets?
  • A. Maintaining order of elements
  • B. Allowing duplicate elements
  • C. Fast membership testing
  • D. Using less memory than arrays
Q. Which of the following is a common method for implementing a hash function?
  • A. Using a binary search
  • B. Using a random number generator
  • C. Using modular arithmetic
  • D. Using a stack
Q. Which of the following is NOT a benefit of using hash tables?
  • A. Fast access time
  • B. Dynamic resizing
  • C. Ordered data storage
  • D. Efficient memory usage
Q. Which of the following is NOT a typical use case for hash tables?
  • A. Implementing a phone book
  • B. Counting frequency of words in a document
  • C. Storing a sorted list of items
  • D. Implementing a set data structure
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