Question 1

How many DA0-002 practice questions are there?

Accepted Answer

408 questions across 2 versions, each with the correct answer and an explanation.

Question 2

Are there free DA0-002 sample questions?

Accepted Answer

Yes. 12 sample questions are free; 6 are open to everyone and the rest unlock with a free account.

Question 3

What does full access include?

Accepted Answer

Every DA0-002 question in study, timed and flashcard modes, explanations for each answer, and progress that saves so you can resume.

Question 4

What topics does DA0-002 cover?

Accepted Answer

Data Concepts and Environments (20%), Data Acquisition and Preparation (22%), Data Analysis (24%), Visualization and Reporting (20%), Data Governance (14%).

Question 5

What is the CompTIA Data+ DA0-002 exam?

Accepted Answer

The CompTIA Data+ DA0-002 is the V2 version of the Data+ certification exam, an early-career, vendor-neutral data analytics certification. It validates your ability to translate business requirements into data-driven insights by acquiring, preparing, and analyzing data, creating reports and visualizations, and adhering to governance and quality standards. The exam launched on October 14, 2025, replacing the DA0-001 (V1) version.

Question 6

How many questions are on the CompTIA Data+ DA0-002 exam?

Accepted Answer

The CompTIA Data+ DA0-002 exam contains up to 90 questions, which include both multiple-choice questions and performance-based questions (PBQs). You have 90 minutes to complete the exam. A passing score of 720 on a scale of 100-900 is required.

Question 7

What is the passing score for CompTIA Data+ DA0-002?

Accepted Answer

The passing score for the CompTIA Data+ DA0-002 exam is 720 on a scale of 100-900. This is the official passing score published by CompTIA for the V2 version of the exam. The previous DA0-001 version had a passing score of 675.

Question 8

How much does the CompTIA Data+ DA0-002 exam cost?

Accepted Answer

The CompTIA Data+ DA0-002 exam costs approximately $255 USD at retail price. Discounted vouchers may be available through authorized resellers. CompTIA also offers academic pricing with up to 50% discount for students with a valid .edu email address. Bundle options with CertMaster study materials and retake vouchers are also available.

Question 9

What are the prerequisites for CompTIA Data+ DA0-002?

Accepted Answer

CompTIA Data+ DA0-002 has no hard prerequisites, but CompTIA recommends 18-24 months of experience in a data analyst or similar role, with exposure to databases, analytical tools, basic statistics, and data visualization. The certification is designed for entry-to-mid career professionals.

Question 10

What topics are covered on the CompTIA Data+ DA0-002 exam?

Accepted Answer

The CompTIA Data+ DA0-002 exam covers five domains: Data Concepts and Environments (20%), Data Acquisition and Preparation (22%), Data Analysis (24%), Visualization and Reporting (20%), and Data Governance (14%). The V2 version adds new content on AI concepts, cloud platforms, and updated data tools compared to the previous V1 version.

Question 11

What is the difference between CompTIA Data+ DA0-001 and DA0-002?

Accepted Answer

DA0-002 (V2) is the updated version of DA0-001 (V1). Key differences include: addition of AI concepts (generative AI, LLMs, NLP, RPA), cloud platform awareness (AWS, Azure, GCP), updated tools (Looker, DBeaver, MongoDB Compass), data lakehouse concepts, containerization basics, NIST framework awareness, and a higher passing score (720 vs 675). DA0-001 retires April 14, 2026.

Question 12

How long is CompTIA Data+ certification valid?

Accepted Answer

The CompTIA Data+ certification is valid for 3 years from the date you pass the exam. To maintain your certification, you need to earn 20 Continuing Education Units (CEUs) within your renewal cycle, complete CompTIA CertMaster CE, or pass a higher-level CompTIA certification. A renewal fee applies for the CE pathway.

Question 13

What jobs can I get with CompTIA Data+ certification?

Accepted Answer

CompTIA Data+ certification is relevant for roles such as Junior Data Analyst, Business Intelligence Analyst, Reporting Analyst, Operations Analyst, Data Governance Analyst, and Business Data Analyst. The certification validates skills in data analysis, visualization, governance, and communication that are essential for these roles across all industries.

Question 14

What is the next certification after CompTIA Data+?

Accepted Answer

After CompTIA Data+, the next step in CompTIA's data career pathway is CompTIA DataSys+ (for data systems operations) and then CompTIA DataAI (formerly DataX) for advanced data science and AI professionals. CompTIA DataAI targets professionals with 5+ years of experience in data science and validates expert-level knowledge in AI, machine learning, and advanced analytics.

DA0-002CompTIA Data+ (V2) practice test

Full access

Practice DA0-002 in the simulator.

DA0-002, by the numbers.

Everything about DA0-002.

Exam information

What DA0-002 covers

How do I earn this certification?

How to study for this exam?

What's changed on this exam?

Who should take this exam?

Three ways to practise

Study mode

Timed mode

Flashcards

DA0-002 questions, answered

DA0-002CompTIA Data+ (V2) practice test

Full access

Practice DA0-002 in the simulator.

DA0-002, by the numbers.

Everything about DA0-002.

Exam information

01Exam format90 min · Up to 905

02Registration$255 · Pearson VUE, online proctoring4

03Validity3 years2

04In our question bankv1 (159), DA0-001 (249)

What DA0-002 covers

01Data Concepts and Environments20%5 topics

1.1Explain data conceptsExplain fundamental data concepts including database types, data structures, file formats, and data types8 obj.

1.2Identify types of data sourcesIdentify common types of data sources including databases, APIs, websites, files, and logs5 obj.

1.3Identify infrastructure conceptsIdentify major cloud providers and their relevance to data analytics8 obj.

1.4Identify common data analysis toolsIdentify common coding environments, BI tools, packages, programming languages, and DBMS tools used in data analytics7 obj.

1.5Identify artificial intelligence (AI) conceptsIdentify AI concepts including generative AI, LLMs, foundational models, and deep learning6 obj.

Hands-on skills & common mistakesDatabase querying · Confusing OLTP with OLAP systems

02Data Acquisition and Preparation22%3 topics

03Data Analysis24%3 topics

04Visualization and Reporting20%3 topics

05Data Governance14%4 topics