Consider the following code snippet. What will be printed by the final print statement?

b = 10

def modify_b():
    global b
    b = 5
    return b

b = modify_b() + 3
print(b)

13

8

10

5

Which function call is logically incorrect given the function definition?

def make_coffee(size="Medium", type="Cappuccino"):
    return f"{size} {type}"

make_coffee("Large")

make_coffee("Latte", "Small")

make_coffee(type="Espresso")

make_coffee()

What does the following function do when [1, 4, 2, 0, 5] is passed to it?

def check_zeros(numbers):
    for num in numbers:
        if num == 0:
            return "Contains zero"
    return "No zeros"

Continues to check all numbers after finding a 0

Returns "No zeros"

Prints [1, 4, 2]

Returns "Contains zero"

Consider the function add and its usage below. What is the final output when print(total) is executed?

def add(x, y):
    return x + y

total = add(10, 20)
total = add(total, 5)

15

30

35

25

What will be the output of the following code snippet?

def print_kwargs(**kwargs):
    for key in kwargs:
        print(key)

print_kwargs(alpha=1, beta=2, gamma=3)

SyntaxError

1 2 3

('alpha', 1), ('beta', 2), ('gamma', 3)

alpha beta gamma

What is the output of this code?

def numplustwo(x):
    x += 2
    
y = 2
numplustwo(y)
print(y)

4

None

Error

2

What will be the output of the following code that uses list unpacking for positional arguments?

def calculate_sum(a, b, c):
    return a + b + c

numbers = [1, 2, 3]
print(calculate_sum(*numbers))

[1, 2, 3]

6

1 2 3

TypeError

What is the output of this code?

def dest(lst):
    lst += [5]
listx = [1, 2, 3]
dest(listx)
print(listx)

[1, 2, 3, 5]

[6, 7, 8]

[1, 2, 3]

Error

What is the output of this code?

def sum(x, y, z):
    return x + y + z
print(sum(*range(7,10)))

[7, 8, 9]

Error

24

[7, 8, 9, 10]

Given the function create_profile and the dictionary user_data, which method of calling the function is incorrect?

def create_profile(username, email, subscription_status):
    return f"Profile: {username}, Email: {email}, Status: {subscription_status}"

user_data = {"username": "johndoe", "email": "johndoe@example.com", "subscription_status": "Active"}

create_profile(username="johndoe", email="johndoe@example.com", subscription_status="Active")

create_profile(user_data)

create_profile(**user_data)

create_profile(username=user_data["username"], email=user_data["email"], subscription_status=user_data["subscription_status"])

What will happen when the function validate_age is called with validate_age(-5)?

def validate_age(age):
    assert age > 0, "Age cannot be negative"
    return "Age is valid"

Nothing, the function executes normally

AssertionError: Age cannot be negative

Returns "Age cannot be negative"

Returns "Age is valid"

Which of the following best demonstrates the benefit of functions in reducing code redundancy?

Avoiding the use of functions to keep the program straightforward.

Using a loop instead of a function to repeat an action.

Creating a function to handle common tasks that are repeated in different parts of the program.

Writing unique code for every action, even if the actions are similar.

What is the conventional format for a docstring in Python?

A string literal enclosed in triple quotes (""") immediately following the function definition.

A comment line starting with #.

A single line of code at the start of the function.

An external text file linked to the function.

What is the output of this code?

def subtract(a, b):
    return a - b
print(subtract(b=5, a=10))

None

-5

Error

5

What is the output of this code?

x = 200 

def foo():
   x = 300 
   def bar():
      x = 400 
      print(x)
   print(x)

foo() 
print(x) 
bar()

300 200 400

300 400 200

400 300 200

200 400 300