Quick Answer
The correct answer is that this is allowed because Python is dynamically typed. In a dynamically typed language like Python, variables do not have fixed types; instead, they are simply names that reference objects in memory. When a developer assigns the float 3.14 to a variable and later reassigns the integer 3, Python automatically rebinds the variable name to the new object, no type declaration or conversion function required. On the Certified Entry-Level Python Programmer PCEP exam, this concept tests your understanding of Python’s runtime flexibility versus compile-time type enforcement found in languages like Java or C. A common trap is assuming you must convert the float to an integer explicitly, but dynamic typing means the variable’s type changes with each reassignment. Remember the mnemonic: “Names are sticky notes, not boxes—they can point to any object at any time.”
This PCEP practice question tests your understanding of data types, variables, basic i/o and operators. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer wants to assign the value 3.14 to a variable and later change it to the integer 3. Which of the following is true?
This is allowed only if the variable was declared as a float.
Why wrong: No declaration needed.
This causes a TypeError because you cannot change types.
Why wrong: Python allows type changes.
This is allowed because Python is dynamically typed.
No type restrictions.
This is allowed only if you use the int() function during assignment.
Why wrong: Not required.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
This is allowed because Python is dynamically typed.
Option C is correct because Python is dynamically typed, meaning variables can be reassigned to values of any type at runtime. The developer can first assign the float 3.14 to a variable and later reassign the integer 3 to the same variable without any type declaration or conversion function required.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
This is allowed only if the variable was declared as a float.
Why it's wrong here
No declaration needed.
This causes a TypeError because you cannot change types.
Why it's wrong here
Python allows type changes.
This is allowed because Python is dynamically typed.
Why this is correct
No type restrictions.
Related concept
Read the scenario before looking for a memorised answer.
This is allowed only if you use the int() function during assignment.
Why it's wrong here
Not required.
Common exam traps
The trap here is that candidates often confuse Python's dynamic typing with static typing rules from languages like Java or C, leading them to believe that type changes require explicit conversion or are disallowed.
Detailed technical explanation
Under the hood, Python variables are references to objects in memory; reassigning a variable simply points the name to a new object of a different type. This dynamic typing is implemented via the PyObject structure in CPython, where each object carries its type information, allowing the interpreter to check types at runtime. In real-world scenarios, this flexibility is crucial for rapid prototyping and data processing where variable types may change based on input or computation results.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the PCEP exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Data Types, Variables, Basic I/O and Operators — This question tests Data Types, Variables, Basic I/O and Operators — Read the scenario before looking for a memorised answer..
The correct answer is: This is allowed because Python is dynamically typed. — Option C is correct because Python is dynamically typed, meaning variables can be reassigned to values of any type at runtime. The developer can first assign the float 3.14 to a variable and later reassign the integer 3 to the same variable without any type declaration or conversion function required.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A program calculates the total price including tax: total = price * 1.08. The variable price is assigned as price = 100.0. After execution, total is 108.0. The developer then changes price to 100. What will total be?
mediumWhy C: Option C is correct because in Python, multiplying an integer (100) by a float (1.08) results in a float (108.0). The expression `price * 1.08` performs implicit type coercion to float, so even when `price` is changed from 100.0 to 100, the result remains 108.0, not 108.
Last reviewed: Jun 11, 2026
This PCEP practice question is part of Courseiva's free Python Institute certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCEP exam.
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