This AIF-C01 practice question tests your understanding of which two of the following are types of…. 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 types of unsupervised learning? (Select TWO.)
Classification
Why wrong: Classification is supervised learning.
Dimensionality reduction
Dimensionality reduction reduces the number of features without using labels.
Clustering
Clustering groups data points without labels.
Reinforcement learning
Why wrong: Reinforcement learning is a separate paradigm, not unsupervised.
Regression
Why wrong: Regression is supervised learning.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Dimensionality reduction
Clustering and dimensionality reduction are both unsupervised learning tasks, as they do not use labeled data.
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.
Classification
Why it's wrong here
Classification is supervised learning.
Dimensionality reduction
Why this is correct
Dimensionality reduction reduces the number of features without using labels.
Related concept
Read the scenario before looking for a memorised answer.
Clustering
Why this is correct
Clustering groups data points without labels.
Related concept
Read the scenario before looking for a memorised answer.
Reinforcement learning
Why it's wrong here
Reinforcement learning is a separate paradigm, not unsupervised.
Regression
Why it's wrong here
Regression is supervised learning.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which AIF-C01 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
Read the scenario before looking for a memorised answer.
The correct answer is: Dimensionality reduction — Clustering and dimensionality reduction are both unsupervised learning tasks, as they do not use labeled data.
Identify which AIF-C01 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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.
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