Question 1,354 of 1,672
MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is performing exploratory data analysis on a dataset with missing values. They want to understand the distribution of each feature and identify outliers. Which AWS service can be used to create visualizations such as histograms and box plots without writing any code?
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
✓
Amazon QuickSight
Amazon QuickSight is a serverless, machine learning-powered business intelligence service that allows users to create interactive dashboards and visualizations without writing code. Option A is wrong because Amazon EMR is a big data platform, not primarily for visualization. Option B is wrong because AWS Glue is used for ETL, not visualization. Option C is correct. Option D is wrong because Amazon SageMaker Studio requires coding for custom visualizations. Option E is wrong because Amazon Athena is a query service, not a visualization tool.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon EMR
Why it's wrong here
EMR is a big data processing platform, not a visualization tool.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is an ETL service, not a visualization tool.
- ✓
Amazon QuickSight
Why this is correct
QuickSight provides code-free visualizations like histograms and box plots.
- ✗
Amazon SageMaker Studio
Why it's wrong here
SageMaker Studio requires coding for custom visualizations; QuickSight is designed for code-free visualizations.
- ✗
Amazon Athena
Why it's wrong here
Athena is a serverless query service, not a visualization tool.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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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