Study guide · Exam overview
The format, passing score, and five published domains of CompTIA Data+ DA0-002, plus what changed when DA0-001 retired.
Exam version notice: This overview follows the CompTIA Data+ DA0-002 objectives, document version 2.0, reviewed in October 2026. CompTIA calls that series Data+ V2. It launched on October 14, 2025. The objectives list a maximum of 90 questions in 90 minutes, and CompTIA publishes a passing score of 675 on a scale of 100 to 900. DA0-001 retired in English on April 14, 2026, and in Japanese and Thai on July 16, 2026. Items tagged Extra are useful context the DA0-002 objective list does not name. Confirm the exam code, fee, and objectives with CompTIA before you register.
CompTIA Data+ is the early-career certification for people who turn a business question into a dataset, a calculation, and a report someone else can trust. DA0-002 asks which source, cleaning step, statistic, visual, or control fits the situation. It also asks you to recognize cloud storage, containers, analysis tools, and AI ideas such as a large language model. It does not ask you to build a vendor pipeline in a specific cloud. That belongs on a path such as AWS Data Engineer.
Figures below come from the DA0-002 objectives and CompTIA's Data+ page reviewed in October 2026.
| Specification | DA0-002 (Data+ V2) |
|---|---|
| Level | Early career. No prior certification is required. CompTIA recommends 18 to 24 months in a data analyst or similar role, with databases, analytical tools, basic statistics, and data visualization. |
| Length of test | 90 minutes. |
| Question types | Multiple choice and performance-based questions. The stem says how many answers to choose. |
| Number of questions | Maximum of 90, as listed on the DA0-002 objectives and on CompTIA's Data+ page. |
| Passing score | 675 on a scale of 100 to 900. CompTIA does not publish the raw-score conversion. |
| Objectives | Five domains in objectives document version 2.0. Example lists are not exhaustive. The tool objective asks you to recognize products, not to recite a vendor menu. |
| Languages | CompTIA's Data+ page lists English and Japanese for the current series. Confirm the language on your voucher. |
| Exam price | Confirm the current voucher price with CompTIA. Regional pricing changes. |
| Validity | Data+ is a continuing-education certification. Confirm the validity period and renewal options with CompTIA. |
| Status | Current series. Launched October 14, 2025. CompTIA estimates retirement about three years after launch. DA0-001 has retired. |
These pages teach DA0-002. Use the older names only when a book still says V1.
CompTIA launched Data+ V2, exam DA0-002, on October 14, 2025. English DA0-001 testing ended on April 14, 2026. Japanese and Thai DA0-001 testing ended on July 16, 2026. Both series use up to 90 questions, 90 minutes, and a published passing score of 675.
CompTIA publishes these DA0-002 weights. The 200 practice questions use the same share.
Where the data lives, what shape it has, and which tool or AI idea fits.
Get the data, see what is wrong, and shape it before you analyze.
The largest domain. Pick the method, the audience, and the first check when the result looks wrong.
Choose the visual, deliver it, and fix a report that is slow, stale, or filtered wrong.
Who may use the data, which record is trusted, and whether the values are fit.
Learn the unmarked rows first. The same map is in the core notes and flashcards.
| Pair | How to separate them |
|---|---|
| Lake and warehouse | A lake or lakehouse keeps broad native and modeled data. A warehouse holds modeled history for analysis. A mart is one subject. A silo is a store nobody else can use. |
| Fact and dimension | A fact table holds the measures. A dimension holds the labels you slice by. A bridge table connects a many-to-many relationship. A slowly changing dimension tracks how a label changes. |
| Object and block storage | Object storage keeps files as objects, often in the cloud. Block storage presents disks. File and shared storage present folders. Local storage stays on one machine. |
| ETL and ELT | ETL transforms, then loads. ELT loads the raw extract, then transforms it in the destination. |
| Duplicate and redundant | A duplicate is the same row repeated. Redundant data is the same fact stored in more than one place. |
| Mean and median | The mean is the average and moves with extreme values. The median is the middle of the ordered list. Both are measures of central tendency. |
| Descriptive and predictive | Descriptive summarizes what already happened. Inferential generalizes from a sample. Predictive estimates a future value. Prescriptive recommends an action. |
| LLM and RPA | A large language model generates or interprets text. Robotic process automation repeats a software task, such as an automated report. Neither one is a join. |
| Snapshot and real-time | A snapshot is one moment. A real-time feed moves with the source. A slow refresh and stale data are report defects, not chart types. |
| Masking and encryption | Masking or anonymization hides identifiers and can leave a usable value. Encryption protects data at rest or in transit. Role-based access decides who may open it. |
| Dictionary and source of truth | A data dictionary defines names. The source of truth is the record you trust. Lineage shows where a value came from. Metadata describes the data. |
| Type 1 and Type 2 Extra | The objectives name slowly changing dimensions. Type 1 overwrites the old value. Type 2 keeps history. Those type numbers are common labels the bullet list does not print. |
Most items are multiple choice. Some ask you to choose two answers, and the stem says so. Performance-based items ask you to match a chart, a tool, or a cleaning step to a job, or to put a process in order. Read FIRST, NEXT, and BEST as ordering words: a dashboard that looks finished before the source is validated is still the wrong answer.
CompTIA says the example lists in the objectives are not exhaustive. A question can use a technology that fits an objective even when the PDF did not print that product name. The tool objective asks you to recognize names such as Python, R, pandas, Tableau, and Power BI. It does not ask you to recite a vendor menu.
A practical sequence if stores, tests, and charts still blur together.
Separate a lake from a warehouse, a fact from a dimension, and a CSV from a JPEG. Know which product is a notebook, a BI tool, or a database client, and which AI idea generates text.
ETL and ELT are different orders. A join is not a union. Duplicates, blanks, redundancy, and outliers are different defects. Do not delete an outlier you have not checked.
Descriptive, inferential, predictive, and prescriptive answer different questions. The mean moves with outliers. Tell an executive the KPI and a technical reader the field definition.
A line is time. A map is place. A snapshot is one moment. If the report is slow or stale, check the source, the filter, and the data size before you redraw the legend.
Masking, encryption, and role-based access are different controls. PII, PHI, and PCI are different labels. A dictionary is not the source of truth. Profile for drift before you trust the file.
Use the four flashcard decks until you answer before the card flips. Then take original questions and return to any domain under 75 percent. DA0-002 gives you 90 minutes and up to 90 questions. Treat the 100 to 900 estimate as a personal trend, not a prediction.
The overview, core notes, flashcards, and practice exams are all published.
Exam format, the 675 passing score, five DA0-002 domain weights, and how V2 differs from retired DA0-001.
Reference notes for sources, preparation, statistics, visuals, and governance.
40 recall cards in four decks, plus memory notes for stores, statistics, and reports.
200 original questions with custom exams, explanations, and an unofficial score on the 100-900 scale.
The DA0-002 objectives list a maximum of 90 questions and 90 minutes. Questions are multiple choice and performance-based. CompTIA launched this series on October 14, 2025.
CompTIA publishes a passing score of 675 on a scale of 100 to 900. This site converts a practice percentage linearly onto that scale and labels the result unofficial, because CompTIA does not publish the real conversion.
No. CompTIA retired DA0-001 in English on April 14, 2026, and in Japanese and Thai on July 16, 2026. These pages follow DA0-002, which launched on October 14, 2025. Confirm the code on your voucher with CompTIA.
DA0-002 keeps five domains, up to 90 questions, 90 minutes, and a published passing score of 675. It renames data mining to data acquisition and preparation, renames visualization to visualization and reporting, changes the weights to 20, 22, 24, 20, and 14 percent, and adds AI concepts and containerization.
No prior certification is required. CompTIA recommends 18 to 24 months in a data analyst or similar role, with exposure to databases, analytical tools, basic statistics, and data visualization.
No. The practice questions on this site are original. They are not CompTIA exam items, and a practice score does not predict a result.
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Exam versions, objectives, prices, languages, and retirement dates can change. Verify the details on the CompTIA certification page before you register.
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