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| Section | Weight | Objectives |
|---|
| Functions and Modular Programming | 20% | - Defining and calling functions - Parameters, arguments, and return values - Variable scope and code reuse
|
| Variables, Data Types, and Basic Operations | 20% | - Arithmetic operations and type conversion - Variables and assignment - Data types: integers, floats, strings, booleans
|
| Control Flow and Decision Making | 20% | - Comparisons and logical operators - Conditional expressions - If, elif, else statements
|
| Loops and Iteration | 20% | - Iterating over sequences - Break, continue, and pass statements - For loops and while loops
|
| Data Structures and Input/Output | 20% | - User input and output operations - Lists, tuples, dictionaries, sets - Basic file handling
|
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WGU Foundations of Programming (Python) - E010 JIV1 Sample Questions (Q30-Q35):
NEW QUESTION # 30
A program uses this while loop to count down:
count = 5
while count > 0:
print(count)
Which issue is preventing the loop from working correctly?
- A. There is a missing colon after the condition.
- B. The variable should be named differently.
- C. The condition should use > = instead of > .
- D. It runs infinitely because count is never modified.
Answer: D
Explanation:
The loop condition is:
while count > 0:
At the start, count is 5, so the condition is true. The program prints the value of count.
However, inside the loop, the value of count is never changed. That means count always stays 5, so the condition count > 0 is always true. As a result, the loop runs forever.
A corrected version would be:
count = 5
while count > 0:
print(count)
count = count - 1
This decreases count by 1 during each loop iteration. Eventually, count becomes 0, and the condition count >
0 becomes false.
Therefore, the correct answer isB. It runs infinitely because count is never modified.
NEW QUESTION # 31
What must be consistent within a Python code block for the code to run without syntax errors?
- A. Line length
- B. Comment placement
- C. Variable names
- D. Indentation level
Answer: D
Explanation:
In Python, indentation is used to group statements into a code block. A block must have a consistent indentation level so Python can correctly understand which statements belong together.
For example:
if True:
print( " Hello " )
print( " World " )
Both print() statements belong to the same if block because they use the same indentation level.
If indentation is inconsistent, Python can raise an IndentationError or TabError.
Therefore, the correct answer isB. Indentation level.
NEW QUESTION # 32
Which keyword moves a loop immediately to its subsequent iteration?
- A. jump
- B. pass
- C. continue
- D. advance
Answer: C
Explanation:
The Python keyword continue is used inside a loop to skip the rest of the current iteration and move immediately to the next iteration.
Example:
for number in range(5):
if number == 2:
continue
print(number)
Output:
0
1
3
4
When number is 2, the continue statement skips print(number) for that iteration and moves to the next loop cycle.
The official Python documentation states that the continue statement continues with the next iteration of the loop.
Therefore, the correct answer is C. continue.
NEW QUESTION # 33
Complete the function is_positive(number) that returns True if the number is greater than 0, and False otherwise.
def is_positive(number):
# TODO: Return True if number > 0, False otherwise
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives one parameter named number.
Step 2: The condition number > 0 checks whether the number is positive.
Step 3: In Python, this comparison already returns either True or False.
Correct code:
def is_positive(number):
return number > 0
Example:
print(is_positive(5))
print(is_positive(-2))
print(is_positive(0))
Output:
True
False
False
NEW QUESTION # 34
How does Jupyter Notebook function as a development environment?
- A. Command-line terminal replacement
- B. Cell-based interactive coding platform
- C. Framework for compiling Python into standalone applications
- D. Code editor limited to static text editing
Answer: B
Explanation:
Jupyter Notebook works as acell-based interactive coding platform. A notebook is made up of cells, and code can be written and executed inside those cells.
For example, a code cell may contain:
x = 10
print(x)
When the cell is run, the output appears directly below the cell.
The Jupyter Notebook documentation explains that notebooks consist of a sequence of cells, and the contents of a cell can be executed using keyboard shortcuts or the toolbar button.
Jupyter Notebook is not simply a command-line terminal replacement, not limited to static text editing, and not mainly a framework for compiling Python into standalone applications.
Therefore, the correct answer isB. Cell-based interactive coding platform.
NEW QUESTION # 35
......
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