Question 1

What is a major downside of using primitive data types to store multiple items in Python?

Accepted Answer

All of the above

Answer

Makes the code longer and less readable.

Answer

They are capable of storing only one item at a time.

Answer

Less efficient in memory compared to non-primitive data types if you are storing many items.

Question 2

Which of the following is a non-primitive data type in Python?

Accepted Answer

List

Answer

String

Answer

Integer

Answer

Boolean

Question 3

Why are non-primitive data types such as lists, tuples and sets important in Python?

Accepted Answer

They allow storing multiple values in a single variable.

Answer

They are faster than primitive data types.

Answer

They require less coding knowledge.

Answer

Only numbers can be stored

Question 4

What will be the output of the code?

Accepted Answer

[1, 8, 3, 4, 5, 6]

Answer

[1, 3, 4, 5, 6]

Answer

[1, 2, 8, 3, 4, 5, 6]

Answer

[1, 3, 8, 4, 5, 6]

Question 5

How can one access the last element of a list using negative indexing in Python?

Accepted Answer

my_list[-1]

Answer

my_list[len(my_list)]

Answer

list[0]

Answer

my_list[-0]

Question 6

How would you add an element to the end of a list named my_list?

Accepted Answer

my_list.append()

Answer

my_list.add()

Answer

my_list.put()

Answer

my_list.pop()

Question 7

What will the following code output?

Accepted Answer

[1, 2, 3, 4]

Answer

[3&#44; 4&#44; 5]

Answer

[2, 3, 4, 5]

Answer

[1, 2, 3, 4, 5]

Question 8

What is the output of the following code?

Accepted Answer

[2, 4, 6, 8, 10]

Answer

[0, 2, 4, 6, 8, 10]

Answer

[1, 2, 3, 4, 5]

Answer

[1, 3, 5, 7, 9]

Question 9

What will be the output of the following code?

Accepted Answer

[10, 9, 8, 7, 6, 5, 4, 3]

Answer

[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]

Answer

[10, 8, 6, 4, 2]

Answer

[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

Question 10

What will be the output of the code?

Accepted Answer

[4&#44; 16]

Answer

[1&#44; 25]

Answer

[4, 9, 16, 25]

Answer

[2&#44; 4]

Question 11

Using list comprehension, how would you create a list of squared numbers for numbers 0 to 10?

Accepted Answer

[x ** 2 for x in range(11)]

Answer

[x * 2 for x in range(10)]

Answer

list(x ** 2 from range(10))

Answer

[x * 2 for x in range(10)]

Question 12

Which of the following conditions would you use to add only even numbers to a list comprehension?

Accepted Answer

if x % 2 == 0

Answer

if x // 2

Answer

if x % 3 == 0

Answer

if x % 2 != 0

Question 13

What is the difference between the remove() and discard() methods in sets?

Accepted Answer

Although both methods remove elements, an error is raised if it's not found by remove().

Answer

'discard()' raises an error for a non-existent item.

Answer

These two are synonyms with no difference.

Answer

An element is added to the set through 'remove()', but discarded via 'discard()'.

Question 14

What occurs if you attempt to access an item from a set using an index?

Accepted Answer

An error will occur since sets do not allow indexing.

Answer

The collection will be ordered, and then the element will be reached.

Answer

The first element is returned.

Answer

The item is accessed properly.

Question 15

What will be the output of the code?

Accepted Answer

[1, 3, 4, 5, 6]

Answer

[1, 2, 3, 4, 5, 6]

Answer

[1, 3, 4, 5]

Answer

[1, 3, 4, 5, 2, 6]

Question 16

Which of the following can be used with tuples in Python?

Accepted Answer

count() and index()

Answer

insert() and pop()

Answer

append() and remove()

Answer

add() and delete()

Question 17

How do you define a tuple in Python?

Accepted Answer

Using circular brackets ()

Answer

Using square brackets []

Answer

Using angle brackets <>

Answer

Using curly braces {}

Question 18

What will be the output of the code?

Accepted Answer

(20, 30, 40)

Answer

[20, 30, 40]

Answer

(10, 20, 30, 40)

Answer

(30, 40, 50)

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