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2026 CompTIA DA0-002 Exam Preparation Materials

Product Description

Exam Number/Code: DA0-002

Exam Name: CompTIA Data+ Exam (2025)

Questions and Answers: 145 Q&As

Price:$88.00  $58.00

Updated: 10-11-2026

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Free DA0-002 Demo DownLoad

download pdf  DA0-002 PDF Version Demo

2026 CompTIA DA0-002 Exam Preparation with Updated Practice Tests

CompTIA Data+ DA0-002 Exam Overview

The CompTIA Data+ DA0-002 exam is an entry-level data analytics certification designed for professionals who need to collect, analyze, interpret, and communicate data-driven insights.

The certification validates essential skills in data concepts, data mining, statistical analysis, visualization, reporting, and data governance. Candidates learn how to transform raw data into meaningful information that supports business decisions.

Passcert provides updated CompTIA Data+ DA0-002 Practice Tests and preparation materials to help candidates review official exam objectives, understand question formats, and strengthen their knowledge before taking the Data+ certification exam.

CompTIA Data+ DA0-002 Exam Information

 Exam Information  Details
 Exam Code  DA0-002
 Exam Name  CompTIA Data+
 Certification  CompTIA Data+
 Exam Version  V2
 Number of Questions  Maximum of 90
 Duration  90 Minutes
 Passing Score  675 (on a scale of 100–900)
 Question Types  Multiple Choice and Performance-Based Questions
 Languages  English and Japanese
 Recommended Experience  18–24 months of experience in data analysis or similar roles

CompTIA Data+ DA0-002 Exam Domains

1.0 Data Concepts and Environments — 20%

This domain covers the fundamental concepts of data, including data structures, data sources, storage environments, and technologies used to collect and manage data. Candidates should understand how different data environments support analytics processes and business decisions.

2.0 Data Mining — 22%

This domain focuses on collecting, preparing, and transforming raw data into usable datasets for analysis. Candidates should understand data acquisition methods and techniques used to improve data quality before performing analytics.

3.0 Data Analysis — 24%

This domain focuses on analyzing data to identify patterns, trends, and insights that support business decisions. Candidates should understand analytical methods, statistical techniques, and how to interpret data results effectively.

4.0 Visualization and Reporting — 20%

This domain covers the process of presenting analyzed data through dashboards, charts, and reports. Candidates should understand how to select suitable visualization methods and communicate insights clearly to different audiences.

5.0 Data Governance — 14%

This domain focuses on managing data quality, security, privacy, and compliance throughout the data lifecycle. Candidates should understand governance practices that help organizations maintain reliable and protected data assets.

How to Prepare for the CompTIA Data+ DA0-002 Exam

Understand Core Data Concepts

Build a strong foundation in databases, data structures, storage technologies, and common data environments before moving into advanced analytics topics.

Practice Data Preparation Techniques

Learn how to clean, transform, and organize datasets. Data preparation skills are essential because real-world data often requires correction before analysis.

Develop Data Analysis Skills

Practice statistical concepts, analytical methods, and interpretation techniques. Focus on understanding why a specific method is used rather than memorizing formulas.

Learn Data Visualization and Reporting

Study how to create meaningful dashboards and reports. Understand how different visualization methods communicate insights to business users.

Review Data Governance Principles

Understand how organizations manage data quality, security, privacy, and compliance requirements.

Who Should Take the DA0-002 Exam?

The CompTIA Data+ certification is suitable for:

  • Data analysts
  • Business analysts
  • Reporting specialists
  • Database professionals
  • Data professionals beginning their analytics career
  • IT professionals working with business intelligence solutions
  • Professionals who need foundational data analysis skills
  • How Passcert Supports Your CompTIA Data+ DA0-002 Preparation

    Updated DA0-002 Practice Tests

    Passcert provides updated DA0-002 practice tests aligned with current CompTIA Data+ exam objectives to help candidates review important concepts.

    Scenario-Based Practice

    Practice questions help candidates become familiar with data analysis scenarios and improve problem-solving skills.

    PDF and Test Engine Formats

    Candidates can review content through PDF materials and practice interactively using the Test Engine format.

    Regular Content Reviews and Updates

    Preparation materials are reviewed regularly to reflect relevant changes in exam objectives, technologies, and certification requirements.

    Member Area Access and Support

    After purchase, candidates can access materials through the Passcert Member Area and receive support for downloads, updates, and product usage.

    Frequently Asked Questions About CompTIA Data+ DA0-002

    What is CompTIA Data+ DA0-002?

    DA0-002 is the latest version of the CompTIA Data+ certification exam, validating foundational data analytics skills including analysis, visualization, and governance.

    How many questions are on the DA0-002 exam?

    The DA0-002 exam contains a maximum of 90 questions.

    How long is the Data+ exam?

    Candidates have 90 minutes to complete the exam.

    What is the passing score for DA0-002?

    The passing score is 675 on a scale of 100–900.

    Does DA0-002 include performance-based questions?

    Yes. The exam includes multiple-choice and performance-based questions.

    Is Data+ suitable for beginners?

    Yes. Data+ is designed for professionals who want to build foundational data analytics skills, although basic IT and data experience is recommended.

    What topics are covered in CompTIA Data+?

    The exam covers data concepts, data mining, data analysis, visualization, reporting, and data governance.

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