This MLS-C01 practice question tests your understanding of exploratory data analysis. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 data scientist is analyzing a dataset with a target variable that is binary (0/1). Which visualization is most appropriate to explore the relationship between a continuous feature and the target?
Scatter plot of the feature vs. the target.
Why wrong: Scatter plots are for two continuous variables.
Bar chart of the feature.
Why wrong: Bar charts are for categorical data.
Box plot of the feature grouped by target.
Box plots compare distributions across categories.
Histogram of the feature.
Why wrong: Histogram shows univariate distribution.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Box plot of the feature grouped by target.
Option D is correct because a box plot shows distribution of continuous feature across binary classes. Option A is wrong because scatter plot is for two continuous variables. Option B is wrong because histogram shows distribution of one variable. Option C is wrong because bar chart is for categorical features.
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.
Scatter plot of the feature vs. the target.
Why it's wrong here
Scatter plots are for two continuous variables.
Bar chart of the feature.
Why it's wrong here
Bar charts are for categorical data.
Box plot of the feature grouped by target.
Why this is correct
Box plots compare distributions across categories.
Related concept
Read the scenario before looking for a memorised answer.
Histogram of the feature.
Why it's wrong here
Histogram shows univariate distribution.
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.
Trap categories for this question
Command / output trap
Histogram shows univariate distribution.
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 MLS-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
Exploratory Data Analysis — This question tests Exploratory Data Analysis — Read the scenario before looking for a memorised answer..
The correct answer is: Box plot of the feature grouped by target. — Option D is correct because a box plot shows distribution of continuous feature across binary classes. Option A is wrong because scatter plot is for two continuous variables. Option B is wrong because histogram shows distribution of one variable. Option C is wrong because bar chart is for categorical features.
Identify which MLS-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: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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