PCAP Python Iterators and Generators Quiz

1. Can a generator function contain multiple yield statements?

No, only one yield is allowed

Yes, and execution resumes after each yield

Yes, but only the first yield is executed

Only if they are in separate functions

2. The iter() and next() functions together implement the iterator protocol in Python.

True

False

3. Iterators can only be used once because they maintain internal ____ that progresses through the sequence.

Memory

State

Cache

Buffer

4. Which of these is a valid generator expression equivalent to range(5)?

[x for x in range(5)]

(x for x in range(5))

{x for x in range(5)}

X for x in range(5)

5. What is the return type when you call a generator function?

The first yielded value

A generator object

A list of all values

None

6. True or False: Once a generator is exhausted, calling next() on it will restart the sequence.

True

False

7. A generator expression is a compact way to create a generator using ____ syntax.

List

Dict

Parentheses

Lambda

8. What is the difference between iter(obj) and obj.iter()?

Iter() is faster

They are functionally equivalent

__iter__() requires explicit calling

Iter() only works with built-in types

9. Which method is called when a for loop encounters an iterable?

__for__

__loop__

__iter__

__next__

10. What is the advantage of using generators over lists for large datasets?

They are faster to access

They use less memory by generating values on-the-fly

They automatically sort data

They eliminate the need for loops

11. What is the primary purpose of an iterator in Python?

To store multiple values in a single object

To provide a way to access elements sequentially without loading all into memory

To automatically sort collections

To convert lists into tuples

12. A generator function that yields values is automatically an iterator.

True

False

13. What does the next() function do when called on an iterator?

Returns the iterator to the start

Retrieves the next item and advances the pointer

Checks if more items exist

Converts the iterator to a list

14. Which built-in function converts an iterable into an iterator?

List()

Iter()

Next()

Enumerate()

15. What is lazy evaluation in the context of generators?

Computing all values upfront for speed

Computing values only when requested

Delaying function definition until runtime

Using default parameter values

16. How does a generator function differ from a regular function?

It runs faster

It returns all values at once

It uses yield to return values one at a time, pausing execution

It requires fewer parameters

17. What keyword is used to define a generator function in Python?

Generate

Yield

Iterator

Return_all

18. What exception is raised when an iterator has no more items to return?

IterationError

EndOfIterator

StopIteration

NoMoreElements

19. What does the iter() method return?

The next value in the sequence

The iterator object itself

A boolean indicating if iteration is possible

A list of all remaining elements

20. Which two methods must an iterator class implement to follow the iterator protocol?

__init__ and __str__

__iter__ and __next__

__get__ and __set__

__call__ and __repr__

PCAP Python Iterators and Generators Quiz

1. Can a generator function contain multiple yield statements?

2.

What first name or nickname would you like us to use?

2. The iter() and next() functions together implement the iterator protocol in Python.

3. Iterators can only be used once because they maintain internal ____ that progresses through the sequence.

4. Which of these is a valid generator expression equivalent to range(5)?

5. What is the return type when you call a generator function?

6. True or False: Once a generator is exhausted, calling next() on it will restart the sequence.

7. A generator expression is a compact way to create a generator using ____ syntax.

8. What is the difference between iter(obj) and obj.__iter__()?

9. Which method is called when a for loop encounters an iterable?

10. What is the advantage of using generators over lists for large datasets?

11. What is the primary purpose of an iterator in Python?

12. A generator function that yields values is automatically an iterator.

13. What does the next() function do when called on an iterator?

14. Which built-in function converts an iterable into an iterator?

15. What is lazy evaluation in the context of generators?

16. How does a generator function differ from a regular function?

17. What keyword is used to define a generator function in Python?

18. What exception is raised when an iterator has no more items to return?

19. What does the __iter__() method return?

20. Which two methods must an iterator class implement to follow the iterator protocol?

8. What is the difference between iter(obj) and obj.iter()?

19. What does the iter() method return?