This MLS-C01 practice question tests your understanding of exploratory data analysis. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 AWS services can be used to visualize data distributions as part of exploratory data analysis? (Select TWO.)
AWS Glue
Why wrong: Glue is for ETL, not visualization.
Amazon QuickSight
QuickSight provides interactive dashboards and visualizations.
Amazon Athena
Why wrong: Athena is a query engine, not a visualization tool.
Amazon Comprehend
Why wrong: Comprehend is for NLP, not general visualization.
Amazon SageMaker Data Wrangler
Data Wrangler provides data profiling and visualizations.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon QuickSight
Amazon QuickSight is a cloud-native business intelligence service that can visualize data distributions through histograms, box plots, scatter plots, and other chart types, making it suitable for exploratory data analysis. Amazon SageMaker Data Wrangler provides a visual interface to create data distribution charts (e.g., histograms, bar charts) directly within the data preparation workflow, enabling quick inspection of feature distributions before model building.
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.
AWS Glue
Why it's wrong here
Glue is for ETL, not visualization.
Amazon QuickSight
Why this is correct
QuickSight provides interactive dashboards and visualizations.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Athena
Why it's wrong here
Athena is a query engine, not a visualization tool.
Amazon Comprehend
Why it's wrong here
Comprehend is for NLP, not general visualization.
Amazon SageMaker Data Wrangler
Why this is correct
Data Wrangler provides data profiling and visualizations.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Cisco often tests the misconception that AWS Glue or Athena can visualize data distributions because they are used in data preparation or querying, but neither provides native charting or plotting capabilities—they only return raw data or tabular results.
Detailed technical explanation
Amazon QuickSight uses SPICE (Super-fast, Parallel, In-memory Calculation Engine) to accelerate rendering of distribution charts, allowing interactive slicing and dicing of large datasets. SageMaker Data Wrangler leverages Apache Spark under the hood for data processing and provides a visual analysis pane that generates statistical summaries and distribution plots (e.g., kernel density estimates) directly from the data flow, which can be exported as reports or integrated into SageMaker Pipelines. Both services support common distribution visualization types like histograms, box plots, and Q-Q plots, which are essential for detecting skewness, outliers, and modality in exploratory data analysis.
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
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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: Amazon QuickSight — Amazon QuickSight is a cloud-native business intelligence service that can visualize data distributions through histograms, box plots, scatter plots, and other chart types, making it suitable for exploratory data analysis. Amazon SageMaker Data Wrangler provides a visual interface to create data distribution charts (e.g., histograms, bar charts) directly within the data preparation workflow, enabling quick inspection of feature distributions before model building.
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 24, 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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