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 variable names?
_count
Underscore allowed at start.
my_var
Valid characters: letters, underscores.
var-name
Why wrong: Hyphen not allowed.
2nd_var
Why wrong: Cannot start with a digit.
var name
Why wrong: Space not allowed.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
_count
Option A (_count) is correct because Python allows variable names to start with an underscore, and it contains only letters, underscores, and digits. Underscore-prefixed names are commonly used for internal or private variables, but they are syntactically valid.
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.
_count
Why this is correct
Underscore allowed at start.
Related concept
Read the scenario before looking for a memorised answer.
my_var
Why this is correct
Valid characters: letters, underscores.
Related concept
Read the scenario before looking for a memorised answer.
var-name
Why it's wrong here
Hyphen not allowed.
2nd_var
Why it's wrong here
Cannot start with a digit.
var name
Why it's wrong here
Space not allowed.
Common exam traps
Python Institute often tests the rule that hyphens and spaces are invalid in variable names, as candidates may confuse Python with other languages (like Lisp or CSS) where hyphens are allowed, or mistakenly think spaces can be used for readability.
Detailed technical explanation
Python variable names must follow the identifier rules defined in PEP 3131: they can include Unicode letters, digits, and underscores, but cannot start with a digit. Hyphens and spaces are not allowed because they conflict with Python's parser — hyphens are subtraction operators, and spaces are token delimiters. This strict naming ensures unambiguous parsing and prevents common errors in code.
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: _count — Option A (_count) is correct because Python allows variable names to start with an underscore, and it contains only letters, underscores, and digits. Underscore-prefixed names are commonly used for internal or private variables, but they are syntactically valid.
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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