This PCEP practice question tests your understanding of functions, tuples, dictionaries and exceptions. 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.
Given the tuple t = (1, 2, 3, 4, 5), which expression returns the last element?
t[-1]
Negative index -1 refers to the last element.
t[5]
Why wrong: Index 5 is out of range for a 5-element tuple (indices 0-4).
t[4]
Why wrong: Returns the last element only if tuple has 5 elements; but index 4 is valid here.
t[0]
Why wrong: Returns the first element.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
t[-1]
In Python, negative indices count from the end of a sequence. For the tuple t = (1, 2, 3, 4, 5), t[-1] accesses the last element (5), because -1 refers to the final position. This is a standard feature of Python's sequence indexing.
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.
t[-1]
Why this is correct
Negative index -1 refers to the last element.
Related concept
Read the scenario before looking for a memorised answer.
t[5]
Why it's wrong here
Index 5 is out of range for a 5-element tuple (indices 0-4).
t[4]
Why it's wrong here
Returns the last element only if tuple has 5 elements; but index 4 is valid here.
t[0]
Why it's wrong here
Returns the first element.
Common exam traps
Python Institute often tests the distinction between zero-based indexing and negative indexing, trapping candidates who mistakenly think t[5] or t[4] is the correct way to access the last element without considering index out-of-range or dynamic length scenarios.
Detailed technical explanation
Python's indexing uses zero-based positive indices (0 to n-1) and negative indices (-1 to -n) for reverse access. This design is consistent across all sequence types (lists, tuples, strings) and is implemented at the C level for efficiency. In real-world code, using negative indexing is preferred for accessing the last element because it automatically adapts to the sequence length, avoiding off-by-one errors when the sequence size is dynamic.
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
Functions, Tuples, Dictionaries and Exceptions — This question tests Functions, Tuples, Dictionaries and Exceptions — Read the scenario before looking for a memorised answer..
The correct answer is: t[-1] — In Python, negative indices count from the end of a sequence. For the tuple t = (1, 2, 3, 4, 5), t[-1] accesses the last element (5), because -1 refers to the final position. This is a standard feature of Python's sequence indexing.
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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