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WGU Foundations-of-Programming-Python Exam Syllabus Topics:

SectionWeightObjectives
Loops and Iteration20%- For loops and while loops
- Iterating over sequences
- Break, continue, and pass statements
Functions and Modular Programming20%- Defining and calling functions
- Parameters, arguments, and return values
- Variable scope and code reuse
Control Flow and Decision Making20%- Conditional expressions
- If, elif, else statements
- Comparisons and logical operators
Variables, Data Types, and Basic Operations20%- Variables and assignment
- Arithmetic operations and type conversion
- Data types: integers, floats, strings, booleans
Data Structures and Input/Output20%- User input and output operations
- Basic file handling
- Lists, tuples, dictionaries, sets

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WGU Foundations of Programming (Python) - E010 JIV1 Sample Questions (Q20-Q25):

NEW QUESTION # 20
Complete the function get_second_item(items) that takes a list and returns the second item. Assume the input is always a list containing at least two elements.
For example, get_second_item([10, 20, 30]) should return 20.
def get_second_item(items):
# TODO: Return the second item from the list
pass

Answer:

Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: Python list indexing starts at 0.
Step 2: The first item is at index 0.
Step 3: The second item is at index 1.
Step 4: Return the value at index 1.
Correct code:
def get_second_item(items):
return items[1]
Example:
print(get_second_item([10, 20, 30]))
Output:
20


NEW QUESTION # 21
Which components are required in every Python while loop?

Answer: C

Explanation:
A Python while loop needs a condition and an indented code block.
Example:
count = 1
while count < = 3:
print(count)
count += 1
The condition is count < = 3. The indented block contains the code that runs while the condition is true.
Python's compound statement documentation includes while as a control-flow statement.
Therefore, the correct answer isA. A condition and an indented code block.


NEW QUESTION # 22
Which components are required in every Python for loop?

Answer: C

Explanation:
A Python for loop is used to iterate over an iterable object, such as a list, tuple, string, dictionary, set, or range() object.
A basic for loop needs:
A loop variable
An iterable object
An indented code block
Example:
for number in range(3):
print(number)
In this example:
number is the loop variable.
range(3) is the iterable.
print(number) is the indented code block that runs during each loop iteration.
According to the official Python documentation, the for statement is a construct that works with iterable objects.
Therefore, the correct answer is A. A variable, an iterable, and an indented code block.


NEW QUESTION # 23
Complete the function calculate_tip(bill, tip_percent) that calculates and returns the tip amount based on the bill and tip percentage.
For example, calculate_tip(50, 20) should return 10.0.
def calculate_tip(bill, tip_percent):
# TODO: Calculate and return the tip amount
pass

Answer:

Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives two parameters: bill and tip_percent.
Step 2: Convert the percentage into a decimal by dividing tip_percent by 100.
Step 3: Multiply the bill amount by that decimal value.
Correct code:
def calculate_tip(bill, tip_percent):
return bill * tip_percent / 100
Example:
print(calculate_tip(50, 20))
Output:
10.0


NEW QUESTION # 24
Complete the function get_dict_keys(data) that takes a dictionary and returns a list of all its keys.
For example, get_dict_keys({ " name " : " John " , " age " : 25}) should return [ " name " , " age " ].
def get_dict_keys(data):
# TODO: Return a list of all dictionary keys
pass

Answer:

Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: A dictionary stores data as key-value pairs.
Step 2: The .keys() method returns the dictionary's keys.
Step 3: To return the keys as a list, use list(data.keys()).
Correct code:
def get_dict_keys(data):
return list(data.keys())
Example:
print(get_dict_keys({ " name " : " John " , " age " : 25}))
Output:
[ ' name ' , ' age ' ]


NEW QUESTION # 25
......

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