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The video tutorial provides an overview of using generators, explaining their purpose and functionality in programming. It highlights how generators can be used to efficiently manage data and processes.

What is the primary purpose of a generator in programming?

• To generate random values

• To compile code

• To produce a sequence of values on demand

• To create a list of numbers

Which of the following is a key advantage of using generators?

• They consume more memory

• They are faster than functions

• They allow for lazy evaluation

• They are easier to debug

How do generators differ from regular functions?

• Generators do not use the 'yield' keyword

• Generators execute all at once

• Generators can only return strings

• Generators can return multiple values

In which scenario would using a generator be most beneficial?

• When performing complex calculations

• When storing data in a database

• When needing immediate results

• When processing large datasets

What keyword is used in Python to define a generator?

• return

• produce

• generate

• yield