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200+ Free CompTIA Data+ Practice Questions

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Questions by Category

Dataplus-Data-Analysis48 questions
Dataplus-Data-Mining43 questions
Dataplus-Visualization43 questions
Dataplus-Data-Governance-Quality-Controls35 questions
Dataplus-Data-Concepts-Environments31 questions
2026 Statistics

Key Facts: CompTIA Data+ Exam

675/900

Passing Score

CompTIA

90 Q

Exam Questions

CompTIA DA0-001

60-80 hrs

Study Time

Recommended

$239

Exam Fee

CompTIA

3 years

Certification Valid

CompTIA (CE required)

Vendor-Neutral

Focus

Tool-agnostic

CompTIA Data+ (DA0-001) requires a passing score of 675 out of 900 (approximately 75%). The exam has 90 questions in 90 minutes. The five domains are: Data Concepts and Environments (15%), Data Mining (25%), Data Analysis (23%), Visualization (23%), and Data Governance, Quality, and Controls (14%). This certification is ideal for data analysts, business analysts, and marketing analysts.

About the CompTIA Data+ Exam

The CompTIA Data+ (DA0-001) certification validates skills in data analytics, including data mining, manipulation, visualization, and governance. It is designed for early-career data professionals who analyze business data to support organizational decision-making. Data+ covers data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls.

Questions

90 scored questions

Time Limit

90 minutes

Passing Score

675/900 (75%)

Exam Fee

$239 USD (CompTIA / Pearson VUE)

CompTIA Data+ Exam Content Outline

15%

Data Concepts and Environments

Data types, structures, schemas, relational and NoSQL databases, data warehouses, data lakes, data marts, and data architecture concepts

25%

Data Mining

Data acquisition, integration, ETL/ELT processes, data cleaning, transformation, quality checks, profiling, and handling missing or outlier data

23%

Data Analysis

Descriptive, diagnostic, predictive, and prescriptive analytics, statistical analysis, hypothesis testing, regression, correlation, SQL queries, and time series analysis

23%

Visualization

Chart and report types, dashboard design, data storytelling, best practices, color usage, accessibility, KPI selection, and presenting findings

14%

Data Governance, Quality, and Controls

Data governance frameworks, quality dimensions, privacy, security, compliance regulations, data ethics, stewardship, lineage, and metadata management

How to Pass the CompTIA Data+ Exam

What You Need to Know

  • Passing score: 675/900 (75%)
  • Exam length: 90 questions
  • Time limit: 90 minutes
  • Exam fee: $239 USD

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

CompTIA Data+ Study Tips from Top Performers

1Focus on the Data Mining domain (25%) — understand ETL/ELT processes, data quality checks, deduplication, and handling missing data
2Practice SQL extensively — expect questions on JOINs, GROUP BY, aggregate functions, and subqueries
3Master statistical concepts — know when to use mean vs median, understand correlation vs causation, and interpret regression outputs
4Study visualization best practices — appropriate chart types, color usage, accessibility, and the difference between exploratory and explanatory visualizations
5Understand data governance principles — data quality dimensions, privacy regulations (GDPR, CCPA), data classification, and the roles of Data Owners and Data Stewards
6Learn time series analysis basics — trend, seasonality, cyclical patterns, and moving averages
7Complete 200+ practice questions and score 80%+ consistently before scheduling the exam

Frequently Asked Questions

What is the CompTIA Data+ passing score?

The CompTIA Data+ (DA0-001) exam requires a passing score of 675 out of 900, which is approximately 75%. The exam consists of 90 questions (multiple choice and performance-based) with a 90-minute time limit. CompTIA uses scaled scoring, so the exact number of correct answers needed may vary slightly based on question difficulty.

Who should take the CompTIA Data+ certification?

Data+ is designed for early-career professionals in data-related roles: Data Analysts, Business Intelligence Analysts, Marketing Analysts, Financial Analysts, Operations Analysts, and Database Administrators with analytics responsibilities. It is ideal for those with 1-2 years of experience working with data who want to validate their skills in data mining, analysis, visualization, and governance.

How does Data+ compare to other data analytics certifications?

CompTIA Data+ is vendor-neutral and focuses on foundational data analytics skills applicable across tools and platforms. It is less technical than certifications like Microsoft PL-300 (Power BI Data Analyst) or AWS Certified Data Analytics, which require deep tool-specific knowledge. Data+ is comparable to entry-level credentials like Google Data Analytics Certificate but includes more exam rigor with proctored testing. It is a good stepping stone before pursuing specialized tool certifications.

What jobs can I get with CompTIA Data+?

Data+ qualifies you for entry-level data analytics roles: Data Analyst ($55,000-$85,000), Business Intelligence Analyst ($60,000-$95,000), Marketing Analyst ($50,000-$80,000), Operations Analyst ($55,000-$85,000), and Junior Data Scientist ($70,000-$110,000). Salary varies by location, industry, and experience. The certification validates foundational skills that employers seek when hiring data professionals.

What SQL knowledge is needed for the Data+ exam?

Data+ requires foundational SQL skills: SELECT statements with WHERE, GROUP BY, HAVING, and ORDER BY clauses; JOINs (INNER, LEFT) to combine tables; aggregate functions (COUNT, SUM, AVG, MIN, MAX); basic subqueries; and understanding of data manipulation statements (INSERT, UPDATE, DELETE). You should be able to write and interpret SQL queries for data extraction and basic analysis.

How hard is the CompTIA Data+ exam?

Data+ is considered an intermediate-level certification. The exam requires understanding both conceptual knowledge (data governance, visualization principles) and practical skills (SQL queries, data interpretation). The 25% weight on Data Mining and 23% on Data Analysis indicate significant focus on hands-on data skills. Candidates with 1-2 years of data experience who study for 60-80 hours typically pass on their first attempt.