- A
max_price = max(prices, key=lambda x: x[1])
Why wrong: Returns the entire tuple, not just the price.
- B
max_price = max([price for product, price in prices])
Correct; list comprehension extracts prices, then max finds the largest.
- C
max_price = 0; for p in prices: if p[1] > max_price: max_price = p[1]
Why wrong: Initializes to 0; fails if all prices are negative.
- D
max_price = sorted(prices, key=lambda x: x[1])[-1]
Why wrong: Returns the last tuple, not the price.
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.
A programmer has a list of tuples representing (product, price) and wants to find the highest price. Which code correctly finds the maximum price?
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
max_price = max([price for product, price in prices])
Option B correctly uses a list comprehension to extract all prices from the tuples, then passes that list to the built-in `max()` function, which returns the highest numeric value. This directly solves the problem of finding the maximum price without any unnecessary complexity.
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.
- ✗
max_price = max(prices, key=lambda x: x[1])
Why it's wrong here
Returns the entire tuple, not just the price.
- ✓
max_price = max([price for product, price in prices])
Why this is correct
Correct; list comprehension extracts prices, then max finds the largest.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
max_price = 0; for p in prices: if p[1] > max_price: max_price = p[1]
Why it's wrong here
Initializes to 0; fails if all prices are negative.
- ✗
max_price = sorted(prices, key=lambda x: x[1])[-1]
Why it's wrong here
Returns the last tuple, not the price.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Python Institute often tests the difference between `max()` returning the element that maximizes the key versus returning the key value itself, leading candidates to incorrectly choose option A when they want just the price.
Detailed technical explanation
How to think about this question
The `max()` function with a `key` argument returns the element from the iterable that maximizes the key function, not the key value itself. In contrast, extracting prices via a list comprehension and passing them to `max()` directly yields the numeric maximum. This distinction is crucial when working with structured data like tuples, where you must decide whether you need the entire record or just a specific field.
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.
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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: max_price = max([price for product, price in prices]) — Option B correctly uses a list comprehension to extract all prices from the tuples, then passes that list to the built-in `max()` function, which returns the highest numeric value. This directly solves the problem of finding the maximum price without any unnecessary complexity.
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.
About these practice questions
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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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