DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is performing data acquisition from multiple source files. Which TWO data profiling tasks should the analyst complete before loading the data into the target system?
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
✓
Verify data types and formats
Identifying missing values and verifying data types are fundamental data profiling tasks that help ensure data quality before acquisition. Building models, creating dashboards, or clustering are not part of profiling.
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 dashboard for stakeholders
Why it's wrong here
Creating a dashboard is a reporting task, not part of data profiling during acquisition.
- ✓
Verify data types and formats
Why this is correct
Verifying data types ensures consistency and prevents errors during loading.
- ✗
Build a linear regression model
Why it's wrong here
Building a regression model is a data mining or analytics task, not a profiling task during acquisition.
- ✗
Perform cluster analysis
Why it's wrong here
Cluster analysis is a data mining technique, not a profiling task.
- ✓
Identify missing values and nulls
Why this is correct
Identifying missing values is a core profiling task that reveals data completeness issues.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA 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 DA0-002 exam.