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Data Concepts and EnvironmentseasyMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

Exhibit

Refer to the exhibit.
Exhibit:
ID,Name,Age,Salary
1,John,32,50000
2,Jane,28,60000
3,Bob,45,55000

Refer to the exhibit. The data shown is an example of which data concept?

⚠ Common exam trap

CompTIA often tests the distinction between structured and semi-structured data, trapping candidates who see any organization (like tags in JSON) and mistakenly label it as structured, when the rigid row-and-column format is the key differentiator.

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

Structured data

The exhibit shows data organized into rows and columns with a fixed schema (e.g., 'Name', 'Age', 'City'), which is the defining characteristic of structured data. Structured data conforms to a predefined data model, typically stored in relational databases or spreadsheets, and can be easily queried using SQL. This tabular format with consistent data types per column is the classic example of structured 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.

  • Structured data

    Why this is correct

    Structured data conforms to a predefined schema, as shown in the CSV.

  • Unstructured data

    Why it's wrong here

    The data has a clear tabular structure, not unstructured.

  • Metadata

    Why it's wrong here

    Metadata describes other data, not the actual data records.

  • Semi-structured data

    Why it's wrong here

    Semi-structured data has tags or markers (e.g., JSON) but no rigid schema.

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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.