CompTIA Data +
CompTIA Data+ Certification Exam Overview
The CompTIA Data+ certification is a globally recognized credential that validates the skills required to analyze, interpret, and communicate data effectively. It is designed for professionals who work with data to support business decision-making, reporting, and analytics.
CompTIA Data+ focuses on data analysis, data governance, visualization, and data management, making it ideal for individuals who want to develop strong foundational skills in the growing field of data analytics.
Unlike vendor-specific certifications, Data+ is vendor-neutral, meaning the knowledge and skills can be applied across many different analytics platforms and tools.
Exam Details
Certification: CompTIA Data+
Exam Code: DA0-001 (updated versions may exist)
Number of Questions:
Up to 90 questions
Exam Duration:
90 minutes
Passing Score:
675 on a scale of 100–900
Question Types
The exam includes several types of questions such as:
• Multiple-choice questions
• Scenario-based questions
• Data interpretation problems
• Performance-based questions involving data analysis tasks
Some questions may require interpreting charts, dashboards, tables, or datasets to determine the correct answer.
Skills and Knowledge Tested
The CompTIA Data+ exam evaluates skills across five major domains.
1. Data Concepts and Environments
This section focuses on understanding different types of data and how data is stored and structured.
Topics include:
• Structured vs. unstructured data
• Data schemas
• Data warehouses and data lakes
• Database concepts
• Data lifecycle management
2. Data Mining
This section focuses on identifying patterns and relationships within data.
Topics include:
• Data exploration techniques
• Trend analysis
• Correlation analysis
• Pattern recognition
• Predictive data analysis
3. Data Analysis
Candidates must demonstrate the ability to interpret data and generate insights.
Topics include:
• Statistical analysis
• Data aggregation
• Outlier detection
• Regression basics
• Data interpretation
4. Visualization
Visualization helps communicate data insights effectively.
Topics include:
• Data dashboards
• Charts and graphs
• Data storytelling
• Choosing appropriate visualizations
• Reporting and presentation techniques
5. Data Governance, Quality, and Controls
This section focuses on maintaining data integrity and protecting data assets.
Topics include:
• Data quality standards
• Data validation
• Data security
• Data privacy
• Compliance and governance policies
Recommended Experience
CompTIA recommends candidates have:
• 18–24 months of experience working with data
• Basic knowledge of data analysis concepts
• Familiarity with tools such as spreadsheets, dashboards, or analytics platforms
Although there are no official prerequisites, knowledge of tools like:
• Microsoft Excel
• Power BI
• Tableau
• SQL databases
can be helpful when preparing for the exam.
Career Opportunities
The CompTIA Data+ certification can help professionals qualify for roles such as:
• Data Analyst
• Business Intelligence Analyst
• Reporting Analyst
• Data Specialist
• Data Operations Analyst
Because organizations rely heavily on data-driven decision-making, professionals with data analysis skills are increasingly valuable in many industries.
Why Take a Practice Test
Preparing with practice exams helps candidates:
• Become familiar with exam structure
• Improve data interpretation skills
• Strengthen weak knowledge areas
• Build confidence before the official exam
Practice platforms like PracticeTest360.com allow learners to simulate real certification exam conditions and practice working with data analysis questions before taking the official CompTIA Data+ exam.
