WGU Foundations-of-Programming-Python Practice Test Questions Answers
Exam Code: Foundations-of-Programming-Python
(Updated 60 Q&As with Explanation)
Exam Name: Foundations of Programming (Python) - E010 JIV1
Last Update: 14-Jun-2026
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Foundations-of-Programming-Python Overview
WGU Foundations-of-Programming-Python Exam Overview
| Section | Details |
|---|---|
| Course Name | Foundations of Programming – Python |
| Institution | Western Governors University (WGU) |
| Exam Overview | This course introduces programming fundamentals using Python. It validates knowledge of syntax, data types, control structures, functions, and object-oriented programming. The exam ensures students can write, debug, and analyze Python code for real-world applications. |
| Exam Level | Undergraduate / Core IT requirement |
| Exam Duration | 90–120 minutes |
| Number of Questions | Approximately 40–50 questions |
| Question Types | Multiple-choice, coding exercises, debugging tasks, and scenario-based questions |
| Passing Score | Competency-based (typically 70% or higher) |
| Delivery Method | Online proctored via WGU’s assessment platform |
| Exam Cost | Included in WGU tuition (no separate fee) |
| Certification Validity | Counts toward WGU degree programs; no expiration |
| Target Audience | WGU students pursuing IT, computer science, or data-related degrees |
| Prerequisites | Basic math and logical reasoning; no prior programming experience required |
| Domains Covered | - Python Syntax and Semantics - Variables and Data Types - Control Structures (loops, conditionals) - Functions and Modular Programming - Object-Oriented Programming (classes, inheritance) - Error Handling and Debugging - File I/O and Basic Libraries |
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WGU Foundations-of-Programming-Python Exam Topics Breakdown
| Domain | Description | Weightage |
|---|---|---|
| Python Syntax & Data Types | Covers variables, operators, strings, lists, tuples, and dictionaries. | 20% |
| Control Structures | Focuses on loops, conditionals, and logical flow in Python programs. | 20% |
| Functions & Modular Programming | Tests ability to create reusable functions, parameter passing, and modular design. | 15% |
| Object-Oriented Programming | Includes classes, objects, inheritance, and encapsulation. | 15% |
| Error Handling & Debugging | Identifying and fixing errors, exceptions, and debugging techniques. | 10% |
| File I/O & Libraries | Reading/writing files, using Python libraries like math and random. | 10% |
| Applied Problem-Solving | Applying Python concepts to real-world scenarios and coding challenges. | 10% |
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