Question 476 of 511
StringseasyMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is Option B, which uses list comprehension with `split()` and `strip()` to generate a clean URL slug. This approach is most robust because `split()` automatically collapses multiple spaces and removes leading/trailing whitespace, while `strip('!?.,')` eliminates punctuation from each word before joining them with a single hyphen. The `filter(None, ...)` call ensures any empty strings from edge cases are excluded, preventing double hyphens or trailing hyphens. On the Certified Associate Python Programmer PCAP exam, this question tests your understanding of string methods, list comprehensions, and handling real-world data cleaning—a common scenario in web development. The trap is that beginners often chain `.replace()` calls, which fails with multiple spaces or trailing punctuation. A memory tip: think "split, strip, join, filter" as the four-step slug pipeline—each step handles a specific failure point of naive replacement chains.

PCAP Strings Practice Question

This PCAP practice question tests your understanding of strings. 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 junior developer is building a script to convert user-provided headlines into URL slugs. The slug should contain only lowercase alphanumeric characters and single hyphens between words, with no leading or trailing hyphens. For example, 'Hello World! How are you?' should become 'hello-world-how-are-you'. The current code is: slug = input_string.lower().replace(' ', '-').replace('!', '').replace('?', ''). However, this produces multiple hyphens when there are multiple spaces, and trailing hyphens if the string ends with punctuation. The developer needs to modify the code to handle these issues reliably. Which of the following approaches is the most robust and efficient?

Question 1easymultiple choice
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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

words = [w.strip('!?.,') for w in input_string.lower().split()]; slug = '-'.join(filter(None, words))

Option B splits the string into words (using split() which handles multiple spaces), strips punctuation from each word, filters out empty strings, and joins with a single hyphen. This ensures no multiple hyphens or leading/trailing hyphens. Option A uses regex but is more complex and may still have edge cases. Option C uses replace with regex but similar issues. Option D is a manual loop that is less efficient and error-prone.

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.

  • Use string.replace multiple times to replace punctuation and then replace multiple spaces with a single hyphen

    Why it's wrong here

    Requires multiple replace calls and does not handle edge cases like punctuation attached to words.

  • Use re.sub(r'[^a-z0-9]+', '-', input_string.lower()).strip('-')

    Why it's wrong here

    Works but regex may be overkill and slower; also does not handle punctuation within words as cleanly.

  • words = [w.strip('!?.,') for w in input_string.lower().split()]; slug = '-'.join(filter(None, words))

    Why this is correct

    Cleanly splits on whitespace, strips punctuation, filters empties, and joins with hyphen.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Iterate over each character, build a list of allowed characters, and join with hyphens

    Why it's wrong here

    Inefficient and error-prone; would need complex logic to detect word boundaries.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which PCAP exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this PCAP question test?

Strings — This question tests Strings — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: words = [w.strip('!?.,') for w in input_string.lower().split()]; slug = '-'.join(filter(None, words)) — Option B splits the string into words (using split() which handles multiple spaces), strips punctuation from each word, filters out empty strings, and joins with a single hyphen. This ensures no multiple hyphens or leading/trailing hyphens. Option A uses regex but is more complex and may still have edge cases. Option C uses replace with regex but similar issues. Option D is a manual loop that is less efficient and error-prone.

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

Identify which PCAP exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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This PCAP 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 PCAP exam.