DA0-001 Retired: What Replaced It and What Carries Over

Historical DA0-001 Scope

CompTIA Data+ (DA0-001) is a certification administered by CompTIA covering data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls. This exam is retired as of 2026-07-16. Candidates seeking certification must prepare for DA0-002 (CompTIA Data+ (V2)) instead, which serves as the direct replacement path for this retired credential. The retired exam is no longer available for testing.

Who DA0-001 Was For

This retired exam targeted professionals seeking to validate data management, mining, analysis, and governance competencies. Candidates should now focus their efforts on the successor credential, DA0-002 (CompTIA Data+ (V2)), to demonstrate their professional expertise.

Skills You Should Be Ready to Demonstrate

• Data Concepts and Environments
• Data Mining
• Data Analysis
• Visualization
• Data Governance, Quality, and Controls

How to Reuse Your Preparation

Because DA0-001 is retired, candidates must consult official CompTIA resources for the DA0-002 (CompTIA Data+ (V2)) exam. Study plans should focus on understanding data environments, mining techniques, analytical methods, visualization practices, and governance frameworks. Reviewing the updated objectives for the successor exam ensures all required competencies are addressed, as the retired DA0-001 materials are no longer applicable for current certification requirements.

Historical Domain Guide

Data Concepts and Environments: Historical Scope

This domain covers data concepts and environments, accounting for 15.0 percent of the exam weight. It establishes core principles for understanding data structures, repositories, and environment types utilized across modern organizational data architectures for candidates.

• Data concepts
• Data environments

Data Mining: Historical Scope

This domain focuses on data mining, representing 25.0 percent of the exam. It addresses methods for extracting and acquiring data from various sources to prepare datasets for subsequent analytical tasks and reporting workflows for professionals.

• Data mining techniques
• Data acquisition

Data Analysis: Historical Scope

This domain encompasses data analysis, holding a weight of 23.0 percent. It covers applying statistical and analytical methods to interpret datasets, evaluate outcomes, and identify primary trends or operational anomalies for the certification candidates.

• Data analysis methods
• Interpreting results

Visualization: Historical Scope

This domain covers visualization, accounting for 23.0 percent of the exam. It evaluates the ability to design clear charts, reports, and dashboards that communicate analytical findings effectively to various business stakeholders within an organization.

• Visual communication
• Reporting tools

Data Governance, Quality, and Controls: Historical Scope

This domain focuses on data governance, quality, and controls, making up 14.0 percent of the exam. It details policies, security practices, and maintenance procedures required to ensure continuous data integrity throughout the entire data lifecycle.

• Data governance
• Quality controls