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.
Which TWO of the following are valid Python data types?
int
int is a built-in type.
string
Why wrong: The correct type is 'str', not 'string'.
char
Why wrong: No separate char type; strings are used.
float
float is a built-in type.
double
Why wrong: Python uses float for double-precision.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
int
Option A is correct because `int` is a built-in numeric data type in Python used to represent whole numbers without a fractional component. Python's `int` type has arbitrary precision, meaning it can handle arbitrarily large integers limited only by available memory.
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.
int
Why this is correct
int is a built-in type.
Related concept
Read the scenario before looking for a memorised answer.
string
Why it's wrong here
The correct type is 'str', not 'string'.
char
Why it's wrong here
No separate char type; strings are used.
float
Why this is correct
float is a built-in type.
Related concept
Read the scenario before looking for a memorised answer.
double
Why it's wrong here
Python uses float for double-precision.
Common exam traps
Python Institute often tests the distinction between Python's actual type names (`int`, `float`, `str`) and type names from other languages (like `string`, `char`, `double`), expecting candidates to know that Python uses `str` for strings and `float` for double-precision numbers, and has no separate `char` or `double` types.
Detailed technical explanation
Python's `int` type is implemented as a variable-length object in CPython, allowing it to grow beyond the 32-bit or 64-bit limits of traditional C integers. The `float` type in Python corresponds to a C `double` (IEEE 754 double-precision), but the language deliberately abstracts this detail to maintain simplicity and cross-platform consistency. This design choice means that Python programmers never need to worry about integer overflow or precision differences between `float` and `double` as in languages like C or Java.
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: int — Option A is correct because `int` is a built-in numeric data type in Python used to represent whole numbers without a fractional component. Python's `int` type has arbitrary precision, meaning it can handle arbitrarily large integers limited only by available memory.
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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Last reviewed: Jun 30, 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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