About the Exam

CompTIA Data+ is an early-career data analytics certification for professionals who work with data to support business decision-making. The DA0-002 objectives cover data concepts and environments, data acquisition and preparation, data analysis, visualization and reporting, and data governance. Passing demonstrates the candidate can mine, interpret, and communicate data in a clear, business-focused way.

Exam Topics

  • Data concepts and environments20%
  • Data acquisition and preparation22%
  • Data analysis24%
  • Visualization and reporting20%
  • Data governance14%

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Last updated May 26, 2026 at 5:08 PM

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QuestionQ1

Data concepts and environments

A company’s complete server environment is located at its headquarters. Which of the following characterizes this type of environment?

Explanation

An on-premises environment hosts servers at an organization’s own physical location, such as its headquarters, rather than in a cloud provider’s infrastructure or a hybrid arrangement.

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QuestionQ2

Visualization and reporting

A data engineer must create a reporting solution with preset filters and the capability to download .csv files. Which option is the best solution?

Explanation

A self-service portal on the company intranet can provide predefined report filters for users and enable them to export the resulting data as CSV files.

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QuestionQ3

Data concepts and environments

Which of the following file formats separates data with a delimiter?

Explanation

CSV files store tabular data as delimited text, with a comma commonly separating individual fields.

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QuestionQ4

Data analysis

A data analyst produces a report that identifies the middle 50% of the collected data. Which option best describes the analyst’s findings?

Explanation

The interquartile range measures the spread of the middle 50% of observations, from the first quartile (Q1) through the third quartile (Q3).

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QuestionQ5

Data governance

Which option best explains the purpose of data lineage?

Explanation

Data lineage tracks data from its origin through the transformations applied to it and its downstream reporting or consumption. It provides an end-to-end record of how data changes and moves throughout its lifecycle.

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