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Data Acquisition and PreparationmediumMultiple ChoiceObjective-mapped

DA0-002 Data Acquisition and Preparation Practice Question

A data analyst is building a dataset from multiple sources and needs to ensure data quality. During the data acquisition phase, which activity is most important to perform?

⚠ Common exam trap

CompTIA often tests the distinction between data profiling (discovery/assessment) and data cleaning (correction), leading candidates to mistakenly choose cleaning as the first step during acquisition when profiling must come first to identify what needs cleaning.

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

Data profiling

Data profiling is the most important activity during the data acquisition phase because it involves examining source data to understand its structure, content, and quality issues before integration. This step identifies missing values, data types, duplicates, and inconsistencies early, preventing downstream errors in analysis. Without profiling, subsequent cleaning and modeling may be based on flawed assumptions about the data.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Data visualization

    Why it's wrong here

    Visualization is for analysis, not data acquisition.

  • Data cleaning

    Why it's wrong here

    Cleaning is important but comes after profiling.

  • Data profiling

    Why this is correct

    Profiling assesses data quality and structure before further processing.

  • Data modeling

    Why it's wrong here

    Modeling is part of analysis, not acquisition.

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JA

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.