DA0-001 Real Exam Questions
CompTIA Data+ Certification Exam. Everything you need to prepare, practice, and pass.
548
Questions
5
Exam Domains
Included
Explanations
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Certification Overview
This exam emphasizes practical data fundamentals: SQL querying and data manipulation, data quality assessment and remediation, statistical analysis for insights, and visualization design for non-technical audiences. You'll demonstrate ability to prepare messy data for analysis and communicate findings visually.
What This Certification Proves
CompTIA Data+ validates foundational skills in data analytics, visualization, and data quality management. This certification proves you can work with data in business environments, prepare datasets, create meaningful visualizations, and apply basic statistical concepts—making it an entry-point credential for data-focused career transitions.
Who Should Take This Exam
Career-changers and early-career professionals (0-3 years IT/business experience) targeting data analyst, business intelligence, or data specialist roles. Ideal for those with basic IT knowledge who want structured validation before data analytics positions. Also suitable for business analysts looking to formalize analytics capabilities.
Topic Breakdown
5 domains covering 547 questions
| Domain | Questions | Weight |
|---|---|---|
| Data Analysis | 228 | 42% |
| Data Concepts And Environments | 160 | 29% |
| Data Governance, Quality, And Controls | 102 | 19% |
| Visualization | 52 | 10% |
| Data Mining | 5 | 1% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Data Analysis
- Read CompTIA official documentation
- Complete 19 questions daily
Week 3
- Deep dive: Data Concepts And Environments
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Data Analysis
- Focus: Data Concepts And Environments
- 10 questions daily
Week 5-6
- Focus: Data Governance, Quality, And Controls
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 548 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 7 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 548 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
DA0-001-Specific Tips
- Focus heavily on SQL fundamentals—this is practical and heavily tested; practice writing queries for data filtering and transformation
- Master data quality concepts early (validation rules, anomaly detection, completeness checks) as they form the foundation for other domains
- Get hands-on with at least one visualization tool (Tableau, Power BI, or similar); don't just study theory—create actual dashboards
- Study descriptive statistics in depth: mean, median, standard deviation, quartiles, and distributions—these appear across multiple domains
- Practice data type conversions and transformations; many real-world scenarios involve cleaning messy data into usable formats
- Understand data governance basics—even at entry-level, roles require knowing privacy, compliance, and data classification fundamentals
- Use the 555 practice questions strategically—focus on Data Analysis, Data Quality, and Visualization (highest weight in real exams), not equal time per domain
Relevant Career Roles
Sample Questions
Try 5 free questions from the DA0-001 question bank
A company derives proprietary leads from monthly sales calls and sends them to dealers through a connection that matches the correct leads to the correct dealers. Which of the following BEST describes this method?
A company's marketing department wants to do a promotional campaign next month. A data analyst on the team has been asked to perform customer segmentation, looking at how recently a customer bought product, at what frequency, and at what value. Which of the following types of analysis would this practice be considered?
A healthcare data analyst notices that one data set in the column for BloodPressure contains several outliers that need to be replaced with meaningful values. Which of the following data manipulation techniques should the analyst use?
A database consists of one fact table that is composed of multiple dimensions. Depending on the dimension, each one can be represented by a denormalized table or multiple normalized tables. This structure is an example of a:
A junior analyst with a relational database system needs to maintain the relations between the data using a schema of the relations. Which of the following best describes the data management process?
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