DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is conducting exploratory data analysis (EDA) on a dataset. Which TWO tasks are typically performed during EDA? (Select two.)
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
✓
Identify outliers using the IQR method
Outlier detection and correlation analysis are key EDA activities. Model building and data sampling are separate steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a sampling plan
Why it's wrong here
Sampling plan is before data collection.
- ✗
Build a predictive regression model
Why it's wrong here
Model building is a later stage.
- ✗
Deploy the model to production
Why it's wrong here
Deployment is after model validation.
- ✓
Identify outliers using the IQR method
Why this is correct
Outlier identification is part of EDA.
- ✓
Calculate correlation between variables
Why this is correct
Correlation analysis helps understand relationships.
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Written by Johnson Ajibi, MSc IT Security
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