EnglishDeutschFrançaisEspañolPortuguês

CompTIA · COMPTIA-DATA · Intermediate

CompTIA Data+ — Practice Questions and Mock Exam

CompTIA Data+ (DA0-002) is an early-career, vendor-neutral certification that validates the skills needed to analyze, interpret, and communicate data insights for informed business decision-making.

Practice for freeTry a practice question first
Try a practice question firstPractice for free
Start practicing COMPTIA-DATA freeBuy COMPTIA-DATA access for $29.99
90Questions per Pass-IT mock exam
90minPass-IT mock exam time limit

Official COMPTIA-DATA exam: 675 out of 900 points to pass.

Checked against CompTIA · September 2026 · Current exam version

Try Pass-IT

See what learning with Pass-IT is like.

Answer a COMPTIA-DATA sample question and read the explanation with its source. Right here, with no sign-up.

Data Governance1 / 5

A company wants to monitor data quality in its ETL pipeline in real-time. Which approach is MOST effective for automated data quality monitoring?

AlexFull explanation from Alex

Automated validation rules embedded in the ETL pipeline can catch quality issues during processing, before bad data reaches reports. These include null checks, type validation, range checks, uniqueness constraints, statistical anomaly detection (row count shifts, distribution drift), and business rule enforcement. Tools like Great Expectations, dbt tests, AWS Glue Data Quality, and Monte Carlo automate checks and alert on threshold breaches (CompTIA Data+ Data Governance domain; DAMA DMBOK Ch. 13). Why not the others? Full backups protect against data loss, not quality issues, and they preserve bad data too. Reviewing only when users report problems is reactive, so damage has often already occurred. Monthly manual spot checks can miss issues between reviews and don't scale. Exam tip: proactive = automated rules + real-time alerts; reactive = user complaints + infrequent manual reviews.

Sourcedocs.aws.amazon.com

Visualization and Reporting2 / 5

An organization is building a self-service analytics platform. Non-technical business users will create their own reports and dashboards. Which capability is MOST critical for enabling self-service analytics?

AlexFull explanation from Alex

A semantic layer abstracts the physical data model into business-friendly terms, enabling non-technical users to build reports without SQL. Instead of querying "tbl_txn.amt_usd" with complex JOINs, users see "Revenue" as a governed, pre-defined metric. Key capabilities: business-friendly naming, pre-built calculations (e.g., gross margin), standardized definitions ensuring consistency, and simplified relationships hiding JOIN complexity. Tools like Looker LookML, dbt semantic layer, and Tableau data models provide this. Why not the others? ETL code repositories require developer skills—the opposite of self-service. Command-line SQL demands technical expertise non-technical users lack. Administrative database access is for DBAs, not report builders, and poses security risks. Exam tip: self-service = semantic layer + drag-and-drop; technical analytics = SQL + code.

Sourcelearn.microsoft.com

Data Acquisition and Preparation4 / 5

A data engineer is loading data from a CSV file into a database table. The CSV has 100,000 rows, but after loading, the table shows only 95,000 rows. Which data quality issue is MOST likely responsible?

AlexFull explanation from Alex

Database tables enforce constraints that CSV files do not, so rows that violate those rules can be rejected during loading. Common violations include NOT NULL (missing required values), data type mismatches (text in numeric columns), UNIQUE/PRIMARY KEY (duplicate identifiers), CHECK (out-of-range values) and FOREIGN KEY (orphaned references). Whether bad rows are skipped or the whole load fails depends on the loader's settings, such as an allowed-error threshold. If an error or reject file is configured, the skipped rows and their error details can be reviewed there. Why not the others? Databases don't auto-compress rows away during loading. Compression is a storage optimization that does not change the row count. A 100,000-row file is well within typical database capacity. Licensing doesn't cap table sizes at arbitrary row counts. Exam tip: if source rows > loaded rows, suspect rejected rows such as constraint violations. Always reconcile counts and check any configured error or rejection output.

Sourcedocs.oracle.com

Data Analysis5 / 5

Which of the following best describes the interquartile range (IQR) and its use in identifying outliers?

AlexFull explanation from Alex

The interquartile range equals Q3 minus Q1, spanning the middle 50% of sorted data. To detect outliers: lower fence = Q1 − 1.5×IQR, upper fence = Q3 + 1.5×IQR. Values outside these fences are flagged as potential outliers. This method is robust because quartiles resist influence from extreme values, unlike the mean/standard deviation in z-score methods (CompTIA Data+ exam objectives, Data Analysis domain; NIST/SEMATECH e-Handbook §7.1.6). Why not the others? "Standard deviation × 2" confuses IQR with standard-deviation thresholds, which are a different method. "Mean minus median" indicates skewness, not spread. "Max minus min" is the range, which includes outliers rather than detecting them. Exam tip: IQR = Q3 − Q1 (middle 50%); 1.5×IQR fences identify outliers robustly.

Sourcecomptia.org

How to prepare for COMPTIA-DATA with Pass-IT.

Currently 347 practice questions for COMPTIA-DATA, with new ones added regularly. Focus on what you still need to learn.

Get past difficult questions.

Understand why an answer is correct. Alex explains the concepts and answers your follow-up questions so you can apply what you learn to the next task.

Meet Alex →

Try the available questions in the preview above.

Make your study time count.

Practice at your level.
For new practice sessions, Pass-IT adjusts the difficulty based on your previous answers.

Learn from mistakes.
Incorrect answers automatically become flashcards. When you review them, you rate how confidently you remember; Pass-IT schedules the next review.

See how focused practice works →

Try the available questions in the preview above.

Practice for the moment that counts.

Take a full mock exam with a time limit and find out whether you can finish in time.

Your COMPTIA-DATA mock exam

Questions
90
Minutes
90

Illustration of an exam session

  1. Start
  2. Answer questions
  3. Finish

Length and time limit of the Pass-IT mock exam.

Go into your exam with more confidence.

Your Readiness Score helps you assess whether you are ready for the exam. Results by exam domain show you where you should keep practicing.

Your money back if you fail despite 80% Readiness.
If your Readiness Score is at least 80% when you take the exam and you still fail, we refund the Pass-IT purchase price for this certification.

For active, paid access. Submit proof of failing within 14 days.

Further guarantee conditions

You need at least 80% Readiness and active, paid access to the certification when you take the exam. Take the exam within your access period and submit official proof of failing within 14 days after the exam.

For purchases through Apple or Google, refunds are handled by the respective store. See the full terms for further details.

Read the guarantee terms →

The Readiness Score describes your practice progress, not a probability of passing.

Guarantee requirement

80%

At least 80% Readiness
when you take the exam

Money back if you fail

Question counts and mock exam settings from the current Pass-IT catalog.

Exam domains

What you practice for COMPTIA-DATA.

Exam topics, relevant practice and sources you can check.

Understand data and its environmentSee the guide for weighting72 QuestionsPass-IT questions

Recognize the structures, sources and tools used to work with data.

  • Distinguish data types, file formats and structured, semi-structured or unstructured data, including relational and non-relational databases.
  • Identify data sources and repositories, and compare cloud or local infrastructure, storage types and containers.
  • Recognize analysis tools, coding environments, programming libraries and database-management applications.
  • Explain basic AI concepts, including generative models, deep learning, language processing and reporting automation.
Official certification objectives
Acquire and prepare dataSee the guide for weighting71 QuestionsPass-IT questions

Collect data and make it suitable for analysis.

  • Acquire and integrate data through surveys, sampling, queries and ETL or ELT, using joins, aggregation and basic query optimization.
  • Explore datasets for missing, duplicate, redundant or unusual values, and check completeness and validity.
  • Clean and transform data through parsing, conversion, scaling, imputation and combining records, including calculated fields.
Official certification objectives
Analyze data and resolve problemsSee the guide for weighting89 QuestionsPass-IT questions

Choose an analysis approach and explain results in terms the audience can use.

  • Match detail, accessibility, sensitivity and key performance indicators to the audience and communication requirements.
  • Choose descriptive, predictive, prescriptive or inferential methods and appropriate mathematical, logical, date or string functions.
  • Investigate connection failures, reported issues, basic SQL errors and corrupted data using logs and source validation.
Official certification objectives
Visualize and deliver findingsSee the guide for weighting66 QuestionsPass-IT questions

Present data clearly and verify that reports remain accurate and usable.

  • Choose charts, maps, pivot tables or infographics with suitable labels, legends, colors and branding.
  • Match summaries, portals and dashboards to delivery needs, including scheduled or ad hoc reporting and snapshot or real-time data.
  • Validate report sources, code and calculations to resolve slow loading, broken filters, stale data and refresh problems.
Official certification objectives
Govern and protect dataSee the guide for weighting49 QuestionsPass-IT questions

Manage data consistently, protect its use and check its quality.

  • Document data flows, definitions, metadata and lineage, maintaining a source of truth and controlled versions.
  • Explain classification, retention, jurisdiction, ethics and audit requirements, including breach reporting and relevant compliance standards.
  • Compare role-based access, encryption, anonymization and masking for sensitive data use and sharing.
  • Use requirement, unit, stress and user-acceptance tests, with profiling and automated monitoring to check data quality and drift.
Official certification objectives
Question formats you can practice
Multiple Choice
Select one answer.
Multiple Response
Select multiple applicable answers.
Performance-based
Complete a practical task in a simulated environment, following the stated requirements.

These are practice formats in Pass-IT. See the Official certification objectives for the official exam requirements.

Frequently asked questions

Your preparation

How much study time should I plan for COMPTIA-DATA?

For planning, Pass-IT estimates roughly 35–90 hours. Relevant experience may put you toward the lower end; starting from scratch may put you toward the higher end. Your needs may fall outside this range. This is not a time requirement from CompTIA or a promise that you will be exam-ready within that time.

Do you need experience before taking Data+?

There is no formal prerequisite. CompTIA recommends 18 to 24 months of data analytics work, and the catalog budget is about 60 hours. The exam assumes you have cleaned a messy dataset at least once, because the preparation domain is written from that angle.

Using Pass-IT

What language are Pass-IT questions in?

Questions in the app are currently in English. Translations of the sample questions on this page apply only to this preview. Check with CompTIA for the languages available for the official exam.

How long does my COMPTIA-DATA access last?

Access covers this certification for 12 months. You pay once, with no automatic renewal.

When does the money-back guarantee apply?

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days. Guarantee terms

About the COMPTIA-DATA exam

Where can I take the COMPTIA-DATA exam?

Pearson VUE testing centers or online proctored.

How long is the CompTIA Data+ exam?

The CompTIA Data+ exam has 90 questions and a 90-minute time limit.

Data+ or a vendor analytics certification?

Data+ is vendor-neutral and tests the analytics workflow itself: acquisition, cleaning, analysis, visualization and governance. Microsoft PL-300 tests the same workflow through Power BI, and its answers are Power BI answers. Take Data+ if your tooling changes between jobs, and the vendor exam if your employer has already picked the tool.

How do you renew Data+?

Data+ runs on a three-year continuing-education cycle. Eligible activities include CertMaster CE, other IT certifications, training, publishing or documented work experience. You have to log them before the cycle closes, not after.

How soon can you retake Data+?

There is no wait before the second attempt. From the third attempt onwards CompTIA requires 14 days between tries.

Your preparation for COMPTIA-DATA

$29.99one-time

12 months of access for COMPTIA-DATA · No automatic renewal

Buy COMPTIA-DATA access

Questions in the app are currently in English.

Try 20 questions for freeFree account required. No credit card.

Already have an account? Log in

Prefer a subscription? View subscriptions →

Money back if you fail with at least 80% Readiness, for eligible purchases under the guarantee terms.

Guarantee terms

The guarantee refunds the Pass-IT purchase price for this certification. You need eligible paid access and a Readiness Score of at least 80% from your practice results when you take the exam. This score can only reach 80% after at least 50 answered questions and is not a validated probability of passing. Take the exam during your access period and submit official proof of failing within 14 days.

Full guarantee terms →

Related certifications

CompTIA A+ Core 1CompTIA A+ Core 2CompTIA Cloud+CompTIA CySA+All CompTIA certifications →