VCETorrent offers the complete package that includes all exam questions conforming to the syllabus for passing the Foundations of Programming (Python) - E010 JIV1 (Foundations-of-Programming-Python) exam certificate in the first try. These formats of actual WGU Foundations-of-Programming-Python Questions are specifically designed to make preparation easier for you.
| Section | Objectives |
|---|---|
| Topic 1: Control Structures | - Loops (for, while) - Conditional Statements (if, elif, else) - Nested Conditionals and Loops - Loop Control (break, continue, pass) |
| Topic 2: Data Structures | - Sets - Dictionaries - Tuples - String Manipulation - Lists and List Operations |
| Topic 3: Object-Oriented Programming | - Classes and Objects - Attributes and Methods - Encapsulation - Inheritance - Constructors (__init__) |
| Topic 4: Functions | - Function Definition and Call - Parameters and Arguments - Return Values - Recursion - Scope (local and global) |
| Topic 5: Testing and Debugging | - Unit Testing Concepts - Debugging Techniques - Trace Errors |
| Topic 6: Python Fundamentals | - Type Conversion - Variables and Data Types - Operators and Expressions - Input/Output Operations |
| Topic 7: File Handling and Exceptions | - Exception Handling (try, except, finally) - Custom Exceptions - Reading and Writing Files |
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NEW QUESTION # 28
Which Python data structure allows duplicate values and supports methods like append() and remove()?
Answer: C
Explanation:
A list is a Python data structure that can store multiple values. Lists can contain duplicate values, and they support methods such as append() and remove().
Example:
fruits = [ " apple " , " banana " , " apple " ]
fruits.append( " orange " )
fruits.remove( " banana " )
print(fruits)
Output:
[ ' apple ' , ' apple ' , ' orange ' ]
The value " apple " appears more than once, showing that lists allow duplicates.
The official Python documentation lists list.append() as a method that adds an item to the end of a list and list.
remove() as a method that removes the first matching value from a list.
Therefore, the correct answer is C. List.
NEW QUESTION # 29
Fix the missing function call in this function that should return the uppercase version of a string.
def make_uppercase(text):
return text.upper
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: In Python, upper is a string method.
Step 2: A method must be called using parentheses ().
Step 3: text.upper refers to the method itself, but it does not execute it.
Step 4: Use text.upper() to return the uppercase version of the string.
Correct code:
def make_uppercase(text):
return text.upper()
Example:
print(make_uppercase( " hello " ))
Output:
HELLO
NEW QUESTION # 30
How can the first four characters be extracted from the string ' computer ' ?
Answer: B
Explanation:
Python strings are sequences, and sequence values can be accessed using indexing and slicing.
The first character in a Python string has index 0. To extract the first four characters from ' computer ' , the slice should start at index 0 and stop at index 4.
Example:
' computer ' [0:4]
Result:
' comp '
In Python slicing, the start index is included, but the stop index is excluded. So [0:4] includes characters at indexes 0, 1, 2, and 3.
The official Python documentation explains that slicing with a[start:stop] selects items from the start index up to, but not including, the stop index.
Therefore, the correct answer is A. ' computer ' [0:4].
NEW QUESTION # 31
Which Python data structure cannot be modified after creation?
Answer: D
Explanation:
Atupleis immutable, which means it cannot be changed after it is created.
Example:
coordinates = (10, 20)
After this tuple is created, its elements cannot be modified directly. Python's data model documentation explains that tuples are immutable, while lists and dictionaries are mutable.
Therefore, the correct answer isC. Tuple.
NEW QUESTION # 32
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 # 33
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