WGU E010 FOUNDATIONS OF PROGRAMMING (PYTHON)
COMPREHENSIVE OA MASTER STUDY GUIDE | COMPLETE
OBJECTIVE ASSESSMENT REVIEW, PYTHON CONCEPTS,
CODING PRACTICE & EXAM PREP | 2026 UPDATE.
149 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
WGU E010 FOUNDATIONS OF PROGRAMMING (PYTHON) COMPREHENSIVE OA MASTER STUDY GUIDE |
COMPLETE OBJECTIVE ASSESSMENT REVIEW, PYTHON CONCEPTS, CODING PRACTICE & EXAM PREP
| 2026 UPDATE.. It contains 149 carefully selected questions that reflect the most current exam content and
testing strategies. Each question is accompanied by a correct answer and a detailed rationale that explains the
underlying pathophysiology, pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 149 Questions
Foundations - Application - WGU E010 Foundations OF Programming Python Comprehensive OA Master
Study Guide Complete Objective Assessment Review Python Concepts Coding & PREP 2026 Update
Computer Science / Python Programming Undergraduate Lower Division Introductory Programming
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Python Basics AND Syntax 1-25 Return, Print, Inner, Count, Outer
DATA Types AND Variables 26-50 Python, Correctly, Expression, Print, Lines
Control Structures 51-75 Result, Print, Python, Return, Expression
Conditionals AND Loops
Functions AND Modular 76-100 Print, Value, Python, Result, Counter
Programming
Strings AND String 101-125 Print, Expression, Return, Value, Correctly
Manipulation
Lists Tuples AND 126-149 Result, Counter, Print, Class, Function
Dictionaries
TOTAL 149 All questions include answers and detailed rationales
,Section A - Python Basics AND Syntax
Q1.
What is the output of the following code?
x = [1, 2, 3, 4]
y=x
y.append(5)
print(x)
A. [1, 2, 3, 4] B. [1, 2, 3, 4, 5]
C. [5, 1, 2, 3, 4] D. TypeError
Correct: B - [1, 2, 3, 4, 5]
Rationale:Assignment `y = x` binds both names to the same list object, so mutating y via
append also affects x. Python lists are mutable and references are shared unless a copy is
made. Options A and C reflect misconceptions about copying or insertion order; D is incorrect
because append is valid on a list.
Why the other answers are wrong:
A. This assumes y is an independent copy, but no copy was made.
C. append adds to the end, not the front, and no reordering occurs.
D. append is a valid list method; no error is raised.
Reference: Lutz, M. (2023). Learning Python, 6th Ed., Ch. 4 (Introducing Python Object Types)
Q2.
A developer needs a collection where each unique item appears exactly once and
membership tests must be fast. Which Python type best fits this requirement?
A. list B. tuple
C. set D. dict
Correct: C - set
Rationale:A set stores unique elements and provides average O(1) membership testing via
hashing, matching both requirements. Lists and tuples allow duplicates and use O(n)
membership scans. A dict also has fast lookup but maps keys to values, adding unnecessary
structure when only membership matters.
Why the other answers are wrong:
A. Lists allow duplicates and membership testing is O(n).
B. Tuples are immutable sequences but still permit duplicates and O(n) membership tests.
D. A dict requires key-value pairs and is overkill when only uniqueness/membership is needed.
Page 3
, Section A - Python Basics AND Syntax
Reference: Python Software Foundation (2024). Python 3.12 Documentation - Built-in Types: set.
Q3.
What does the following function return when called as f(3)?
def f(n):
if n <= 1:
return 1
return n * f(n - 1)
A. 3 B. 6
C. 9 D. RecursionError
Correct: B - 6
Rationale:The function computes the factorial of n; f(3) = 3 * f(2) = 3 * 2 * f(1) = 3 * 2 * 1 = 6.
The base case n <= 1 returns 1, correctly terminating recursion. Options A and C misapply
the operation; D is incorrect because the base case prevents infinite recursion.
Why the other answers are wrong:
A. This would only be true if the function returned n, not n * f(n-1).
C. This confuses factorial with n squared.
D. The base case n <= 1 terminates recursion, so no RecursionError occurs.
Reference: Downey, A. (2024). Think Python, 3rd Ed., Ch. 5 (Conditionals and Recursion)
Q4.
Which statement about Python's `range()` function is correct?
A. range(5) produces the list [1, 2, 3, 4, 5]. B. range(2, 10, 2) yields 2, 4, 6, 8.
C. range(10, 2, -2) yields 10, 8, 6, 4, 2. D. range(5) yields 1 through 5 inclusive.
Correct: B - range(2, 10, 2) yields 2, 4, 6, 8.
Rationale:range(2, 10, 2) starts at 2, stops before 10, stepping by 2, producing 2, 4, 6, 8.
range(5) yields 0-4 (not 1-5), and range(10, 2, -2) stops before reaching 2, yielding 10, 8, 6, 4
(not including 2). Thus only B is accurate.
Why the other answers are wrong:
A. range(5) starts at 0 and excludes the stop value, yielding 0-4.
C. The stop value 2 is excluded, so the sequence ends at 4.
D. range(5) is zero-based and excludes the stop value.
Reference: Lutz, M. (2023). Learning Python, 6th Ed., Ch. 4 (Numeric Types)
Page 4
COMPREHENSIVE OA MASTER STUDY GUIDE | COMPLETE
OBJECTIVE ASSESSMENT REVIEW, PYTHON CONCEPTS,
CODING PRACTICE & EXAM PREP | 2026 UPDATE.
149 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
WGU E010 FOUNDATIONS OF PROGRAMMING (PYTHON) COMPREHENSIVE OA MASTER STUDY GUIDE |
COMPLETE OBJECTIVE ASSESSMENT REVIEW, PYTHON CONCEPTS, CODING PRACTICE & EXAM PREP
| 2026 UPDATE.. It contains 149 carefully selected questions that reflect the most current exam content and
testing strategies. Each question is accompanied by a correct answer and a detailed rationale that explains the
underlying pathophysiology, pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 149 Questions
Foundations - Application - WGU E010 Foundations OF Programming Python Comprehensive OA Master
Study Guide Complete Objective Assessment Review Python Concepts Coding & PREP 2026 Update
Computer Science / Python Programming Undergraduate Lower Division Introductory Programming
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Python Basics AND Syntax 1-25 Return, Print, Inner, Count, Outer
DATA Types AND Variables 26-50 Python, Correctly, Expression, Print, Lines
Control Structures 51-75 Result, Print, Python, Return, Expression
Conditionals AND Loops
Functions AND Modular 76-100 Print, Value, Python, Result, Counter
Programming
Strings AND String 101-125 Print, Expression, Return, Value, Correctly
Manipulation
Lists Tuples AND 126-149 Result, Counter, Print, Class, Function
Dictionaries
TOTAL 149 All questions include answers and detailed rationales
,Section A - Python Basics AND Syntax
Q1.
What is the output of the following code?
x = [1, 2, 3, 4]
y=x
y.append(5)
print(x)
A. [1, 2, 3, 4] B. [1, 2, 3, 4, 5]
C. [5, 1, 2, 3, 4] D. TypeError
Correct: B - [1, 2, 3, 4, 5]
Rationale:Assignment `y = x` binds both names to the same list object, so mutating y via
append also affects x. Python lists are mutable and references are shared unless a copy is
made. Options A and C reflect misconceptions about copying or insertion order; D is incorrect
because append is valid on a list.
Why the other answers are wrong:
A. This assumes y is an independent copy, but no copy was made.
C. append adds to the end, not the front, and no reordering occurs.
D. append is a valid list method; no error is raised.
Reference: Lutz, M. (2023). Learning Python, 6th Ed., Ch. 4 (Introducing Python Object Types)
Q2.
A developer needs a collection where each unique item appears exactly once and
membership tests must be fast. Which Python type best fits this requirement?
A. list B. tuple
C. set D. dict
Correct: C - set
Rationale:A set stores unique elements and provides average O(1) membership testing via
hashing, matching both requirements. Lists and tuples allow duplicates and use O(n)
membership scans. A dict also has fast lookup but maps keys to values, adding unnecessary
structure when only membership matters.
Why the other answers are wrong:
A. Lists allow duplicates and membership testing is O(n).
B. Tuples are immutable sequences but still permit duplicates and O(n) membership tests.
D. A dict requires key-value pairs and is overkill when only uniqueness/membership is needed.
Page 3
, Section A - Python Basics AND Syntax
Reference: Python Software Foundation (2024). Python 3.12 Documentation - Built-in Types: set.
Q3.
What does the following function return when called as f(3)?
def f(n):
if n <= 1:
return 1
return n * f(n - 1)
A. 3 B. 6
C. 9 D. RecursionError
Correct: B - 6
Rationale:The function computes the factorial of n; f(3) = 3 * f(2) = 3 * 2 * f(1) = 3 * 2 * 1 = 6.
The base case n <= 1 returns 1, correctly terminating recursion. Options A and C misapply
the operation; D is incorrect because the base case prevents infinite recursion.
Why the other answers are wrong:
A. This would only be true if the function returned n, not n * f(n-1).
C. This confuses factorial with n squared.
D. The base case n <= 1 terminates recursion, so no RecursionError occurs.
Reference: Downey, A. (2024). Think Python, 3rd Ed., Ch. 5 (Conditionals and Recursion)
Q4.
Which statement about Python's `range()` function is correct?
A. range(5) produces the list [1, 2, 3, 4, 5]. B. range(2, 10, 2) yields 2, 4, 6, 8.
C. range(10, 2, -2) yields 10, 8, 6, 4, 2. D. range(5) yields 1 through 5 inclusive.
Correct: B - range(2, 10, 2) yields 2, 4, 6, 8.
Rationale:range(2, 10, 2) starts at 2, stops before 10, stepping by 2, producing 2, 4, 6, 8.
range(5) yields 0-4 (not 1-5), and range(10, 2, -2) stops before reaching 2, yielding 10, 8, 6, 4
(not including 2). Thus only B is accurate.
Why the other answers are wrong:
A. range(5) starts at 0 and excludes the stop value, yielding 0-4.
C. The stop value 2 is excluded, so the sequence ends at 4.
D. range(5) is zero-based and excludes the stop value.
Reference: Lutz, M. (2023). Learning Python, 6th Ed., Ch. 4 (Numeric Types)
Page 4
