Hash

Application of hashing mcq

Application of hashing mcq
  1. What is hashing used for Mcq?
  2. What is hashing and what are the applications of hashing?
  3. What are the 3 types of hashing?
  4. What are examples of hashing?
  5. Which one is not an application of hash function *?
  6. What is an advantage of using a hashing function Mcq?
  7. What is hashing real life example?
  8. What is benefit of hash table Mcq?
  9. What are two functions of hashing?
  10. What are the most commonly used hash functions?
  11. What are the advantages of hashing?
  12. What is a real life example of hashing?
  13. What are three situations in which the hashing function can be applied?
  14. What is an advantage of using a hashing function Mcq?

What is hashing used for Mcq?

Explanation: Hashing is used to index and retrieve items in a database because it is easier to find the item using the shortened hashed key than using the original value.

What is hashing and what are the applications of hashing?

Hashing is the process of transforming any given key or a string of characters into another value. This is usually represented by a shorter, fixed-length value or key that represents and makes it easier to find or employ the original string. The most popular use for hashing is the implementation of hash tables.

What are the 3 types of hashing?

This article focuses on discussing different hash functions: Division Method. Mid Square Method. Folding Method.

What are examples of hashing?

Some common hashing algorithms include MD5, SHA-1, SHA-2, NTLM, and LANMAN. MD5: This is the fifth version of the Message Digest algorithm. MD5 creates 128-bit outputs. MD5 was a very commonly used hashing algorithm.

Which one is not an application of hash function *?

Which one of the following is not an application hash functions? Explanation: Key wrapping is a separate algorithm and not an application of hash fuctions.

What is an advantage of using a hashing function Mcq?

Collisions can be reduced by choosing a hash function randomly in a way that is independent of the keys that are actually to be stored.

What is hashing real life example?

Real-World Example of Hashing: Online Passwords

Every time you attempt to log in to your email account, your email provider hashes the password YOU enter and compares this hash to the hash it has saved. Only when the two hashes match are you authorized to access your email.

What is benefit of hash table Mcq?

Explanation: Hash table is a data structure that has an advantage that it allows fast access of elements. But linked list is easier to implement as compared to the hash table.

What are two functions of hashing?

You can use hashing functions to speed up the retrieval of data records (simple one-way lookups), to validate data (by using checksums), and to perform cryptography.

What are the most commonly used hash functions?

Message Digest (MD)

MD5 was most popular and widely used hash function for quite some years. The MD family comprises of hash functions MD2, MD4, MD5 and MD6. It was adopted as Internet Standard RFC 1321. It is a 128-bit hash function.

What are the advantages of hashing?

The main advantage of hash tables over other data structures is speed . The access time of an element is on average O(1), therefore lookup could be performed very fast. Hash tables are particularly efficient when the maximum number of entries can be predicted in advance.

What is a real life example of hashing?

Real-World Example of Hashing: Online Passwords

Every time you attempt to log in to your email account, your email provider hashes the password YOU enter and compares this hash to the hash it has saved. Only when the two hashes match are you authorized to access your email.

What are three situations in which the hashing function can be applied?

Three situations where a hash function could be used are as follows: When IPsec is being used. When routing authentication is enabled. In challenge responses within protocols such as PPP CHAP.

What is an advantage of using a hashing function Mcq?

Collisions can be reduced by choosing a hash function randomly in a way that is independent of the keys that are actually to be stored.

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