Question 187 of 510
Control Flow, Loops, Lists and LogicmediumMultiple SelectObjective-mapped

Quick Answer

The correct answer is my_list = [10, 20, 30], which directly creates a list with elements 10, 20, 30 using square brackets and comma separation. This is valid because Python’s list literal syntax explicitly defines an ordered, mutable collection by enclosing comma-separated values in brackets, making it the most straightforward and commonly used method. On the Certified Entry-Level Python Programmer PCEP exam, this tests your understanding of basic list creation versus other constructs like list comprehensions or the list() constructor, which can also produce the same result but are less direct. A common trap is confusing list comprehensions with literals—for example, [x for x in (10, 20, 30)] works but is unnecessarily complex for static values. To create list with elements 10 20 30 in Python, always default to the literal syntax for clarity and efficiency. Memory tip: think of square brackets as a “container” that holds your items in order, just like a shopping list written on paper.

PCEP Control Flow, Loops, Lists and Logic Practice Question

This PCEP practice question tests your understanding of control flow, loops, lists and logic. 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 ways to create a list with elements 10, 20, 30?

Question 1mediummulti select
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

my_list = [x for x in (10,20,30)]

Option A is correct because it uses a list comprehension that iterates over the tuple (10, 20, 30) and creates a new list with the same elements. This is a valid Python syntax for constructing a list from an iterable.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • my_list = [x for x in (10,20,30)]

    Why this is correct

    Valid list comprehension.

    Related concept

    Read the scenario before looking for a memorised answer.

  • my_list = list((10, 20, 30))

    Why this is correct

    Valid conversion from tuple.

    Related concept

    Read the scenario before looking for a memorised answer.

  • my_list = list(10, 20, 30)

    Why it's wrong here

    Invalid: list() takes at most 1 argument.

  • my_list = [10; 20; 30]

    Why it's wrong here

    Invalid syntax.

  • my_list = [10, 20, 30]

    Why this is correct

    Valid literal.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Python Institute often tests the distinction between the list() constructor requiring a single iterable argument versus multiple positional arguments, and the use of correct list literal syntax (commas vs. semicolons), to catch candidates who confuse Python with other languages like JavaScript or C.

Detailed technical explanation

How to think about this question

List comprehensions are syntactic sugar that internally call the list's append method in a loop, making them efficient for transforming or filtering iterables. The list() constructor can accept any iterable (e.g., tuple, string, generator) and will iterate over it to build the list. In real-world code, list comprehensions are often preferred for readability and performance when creating lists from existing sequences.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

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

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCEP question test?

Control Flow, Loops, Lists and Logic — This question tests Control Flow, Loops, Lists and Logic — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: my_list = [x for x in (10,20,30)] — Option A is correct because it uses a list comprehension that iterates over the tuple (10, 20, 30) and creates a new list with the same elements. This is a valid Python syntax for constructing a list from an iterable.

What should I do if I get this PCEP question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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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.