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Data Concepts and EnvironmentseasyMultiple SelectObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

Which TWO of the following are characteristics of structured data? (Choose TWO.)

⚠ Common exam trap

It's easy for candidates to confuse semi-structured data (which uses tags or labels) with structured data, or they incorrectly assume structured data can lack a schema, when in fact a predefined schema is its defining requirement.

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

Stored in rows and columns

Structured data is organized into rows and columns, typically within relational databases or spreadsheets, where each column represents a specific attribute and each row represents a record. This tabular format enables efficient querying, sorting, and indexing using languages like SQL. The rigid row-and-column structure ensures data consistency and supports ACID (Atomicity, Consistency, Isolation, Durability) properties.

Answer analysis

Option-by-option breakdown

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

  • Stored in rows and columns

    Why this is correct

    Tabular storage is a hallmark of structured data like relational databases.

  • Lacks a fixed schema

    Why it's wrong here

    Lack of schema is typical of unstructured data.

  • Has a predefined data model

    Why this is correct

    Structured data is organized in a schema with defined fields.

  • Uses tags to define elements

    Why it's wrong here

    Tags are used in semi-structured data like XML.

  • Consists of free-form text

    Why it's wrong here

    Free-form text is unstructured.

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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.