CompTIA Data+ (DA0-002) Exam Questions 2026

CompTIA Data+ (DA0-002) Exam Questions 2026

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If you’re aspiring to build a strong foundation in data analytics, the CompTIA Data+ certification is an excellent starting point. It validates your ability to mine, analyze, interpret, and report on data accurately and effectively. This post provides all the essential details about the CompTIA Data+ (DA0-001) exam to help you prepare with confidence.

What is CompTIA Data+?

CompTIA Data+ is a vendor-neutral, entry-level data analytics certification that focuses on transforming business requirements into data-driven decisions. It is ideal for early-career professionals looking to prove their skills in data analysis, data visualization, and data governance.

Who Should Take the CompTIA Data+ Exam?

The certification is designed for:

• Data Analysts

• Reporting Analysts

• Business Intelligence Analysts

• Clinical Analysts

• Marketing Analysts

• Entry-level professionals interested in data analytics

CompTIA Data+ (DA0-002) Exam Overview

Here are the key exam details:

• Exam Code: DA0-001

• Launch Date: February 2022

• Prerequisites: No formal prerequisites, but CompTIA recommends 18–24 months of experience in a report/business analyst job role, and a basic understanding of statistics and data visualization.

• Number of Questions: Maximum of 90

• Question Types: Multiple-choice (single and multiple response), drag-and-drop, and performance-based

• Duration: 90 minutes

• Passing Score: 675 (on a scale of 100–900)

• Exam Format: Computer-based, administered at Pearson VUE testing centers or online

• Price: USD $246 (subject to regional pricing)

• Languages Available: English

Domains Covered in the Exam

CompTIA Data+ (DA0-002) exam covers five core domains for data analytics skills, updated with DA0-002 launching October 14, 2025.​

Data Concepts and Environments (20%)

This domain introduces foundational data types, structures, and repositories like raw data lakes versus processed warehouses. Topics include metadata usage, database environments, and basic troubleshooting for connectivity issues post-upgrades.​

Data Acquisition and Preparation (22%)

Focus areas cover sourcing data from various repositories, cleaning for quality, and joining tables via common fields like keys. Key skills involve ETL processes, handling schemas, and selecting appropriate data types such as NVARCHAR for multilingual support.​

Data Analysis (24%)

Expect emphasis on statistical methods, identifying biases like data drift, and basic modeling for forecasts. This includes query methods for tasks like filtering records and recognizing distribution changes impacting model accuracy.​

Visualization and Reporting (20%)

Topics test dashboard elements for audiences, chart selection like pie charts for departmental revenue proportions, and translating requirements into visuals. Performance-based questions simulate report creation for technical or business users.​

Data Governance (14%)

Covers quality standards, ethics in decision-making, and maintaining accuracy for business intelligence roles. Prepares candidates with 18-24 months experience in analytics tools and reporting.

Benefits of Earning the CompTIA Data+ Certification

• Vendor-neutral foundation: Ideal for working across multiple platforms and industries.

• Career advancement: Helps professionals move into data-focused roles.

• High-demand skillset: Companies increasingly rely on data to drive decision-making.

• Bridges the gap: Prepares candidates for advanced certifications like Microsoft Power BI, Tableau, or even AWS/Azure data roles.

How to Prepare for the CompTIA Data+ Exam

• Official CompTIA Study Guide

• Online courses and video tutorials

• Practice tests and mock exams

• Join community forums and study groups

• Use flashcards and quick reference guides

Know more about the exam here : https://www.comptia.org/certifications/data

Other CompTIA practice tests : https://skillcertpro.tech/product-category/comptia/