Complete Git Guide: Understand and Master Git and GitHub - Git Hash Collision Probability

The video tutorial explores the concept of probability in dice games and extends it to the probability of SHA-1 hash collisions. It explains the extremely low probability of generating the same hash for different files, emphasizing the reliability of Git in storing unique file hashes. The tutorial also introduces the Git cut file command, which allows users to read the contents of Git objects, and highlights the differences in hash results when using different commands.

What is the probability of rolling the same number on two dice?

• 1%

• 10%

• 3%

• 5%

How is the probability of a SHA-1 hash collision represented?

• In decimal form

• As a fraction

• Using scientific notation

• As a percentage

What is the significance of the number of zeros in the scientific notation of SHA-1 hash probability?

• It determines the hash length

• It represents the number of possible hashes

• It shows the probability of a collision

• It indicates the size of the hash

Why is the probability of a SHA-1 hash collision considered negligible in Git?

• Due to frequent hash updates

• Because Git automatically resolves collisions

• Due to the large number of possible hashes

• Because Git uses a different hashing algorithm

What does the Git command 'git cut file' allow you to do?

• Delete a Git object

• Create a new Git repository

• Read contents of a Git object

• Merge two Git branches

What was observed when creating SHA-1 hashes using different methods?

• The hashes were identical

• The hashes were different

• The hashes were longer

• The hashes were shorter

What will be explained in the next lecture regarding SHA-1 hashes?

• How to create a SHA-1 hash

• Why different methods produce different hashes

• How to resolve hash collisions

• How to optimize hash generation