Hashing in a Nutshell

Hashing in a Nutshell

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial explains hashing, a process of converting data into a fixed-length string that is irreversible. It covers the properties of hashes, their applications in file verification, password storage, and database searching. The tutorial also discusses common hash algorithms like SHA and MD5, and highlights the differences between hashing and encryption. Hashing is used for data integrity and security, but it is not meant for data encryption. The video also addresses the issue of hash collisions and their rarity.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary characteristic of a hash function?

It can be easily reversed.

It produces a fixed-length output.

It is used to encrypt data.

It always produces the same output for different inputs.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a common use of hashing?

Speeding up database searches

Encrypting messages

Storing passwords securely

Verifying file integrity

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is hashing preferred over plain text for storing passwords?

It makes passwords longer.

It makes passwords more memorable.

It prevents passwords from being read if the database is compromised.

It allows passwords to be easily retrieved.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does hashing improve database search efficiency?

By increasing the size of the database

By storing data in plain text

By reducing the length of data to be searched

By encrypting the data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of encryption but not hashing?

It is a one-way function.

It can be reversed to retrieve the original data.

It produces a fixed-length output.

It is used for data comparison.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a hash collision?

When two different inputs produce the same hash

When two identical inputs produce different hashes

When a hash is longer than the input data

When a hash cannot be generated

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can the likelihood of hash collisions be reduced?

By using the same hash function for all data

By using longer hash values

By using shorter hash values

By avoiding the use of hash functions