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    Free Practice Questions for CompTIA Data+ Certification

    ๐Ÿ”„ Last checked for updates September 10th, 2026

    Study with 345 exam-style practice questions designed to help you prepare for the CompTIA Data+.

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    Pass and fail outcomes from candidates who prepared here โ€” advice, scores, and prep time.

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    Exam Details

    Key information about CompTIA Data+

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    • Matching
    duration:

    90 minutes

    languages:

    English

    retirement:

    Usually three years after launch (estimated 2028)

    launch date:

    October 14, 2025

    exam version:

    V2

    passing score:

    675 (on a scale of 100โ€“900)

    exam series code:

    DA0-002

    number of questions:

    Maximum of 90 (multiple-choice and performance-based)

    recommended experience:

    18โ€“24 months in a data analyst or similar job role, with exposure to databases, analytical tools, basic statistics, and data visualization

    accreditation and benefits:

    ISO accredited by the ANSI National Accreditation Board (ANAB), and mapped to the NICE Framework Data Analyst (IO-WRL-001) work role.

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Data concepts and environments

    Subdomain 1.1: Explain data concepts

    Subdomain 1.2: Identify data sources

    Subdomain 1.3: Recognize infrastructure concepts

    Subdomain 1.4: Identify data tools

    Subdomain 1.5: Understand AI concepts

    Domain 2: Data acquisition and preparation

    Subdomain 2.1: Use data acquisition methods

    Subdomain 2.2: Perform data exploration

    Subdomain 2.3: Apply data transformation

    Domain 3: Data analysis

    Subdomain 3.1: Communicate analysis results

    Subdomain 3.2: Select statistical methods

    Subdomain 3.3: Troubleshoot analysis issues

    Domain 4: Visualization and reporting

    Subdomain 4.1: Create effective visuals

    Subdomain 4.2: Deliver reports

    Subdomain 4.3: Validate reporting accuracy

    Domain 5: Data governance

    Subdomain 5.1: Explain data management practices

    Subdomain 5.2: Summarize compliance requirements

    Subdomain 5.3: Compare privacy and protection strategies

    Subdomain 5.4: Implement quality assurance

    Techniques & products

    Database types
    data structures
    file extensions
    data types
    Databases
    APIs
    website data
    files
    logs
    repositories
    Cloud
    on-premise
    storage
    containerization
    Coding environments
    BI software
    analysis platforms
    AI models
    natural language processing
    robotic automation
    Data integration
    queries
    missing values
    duplication
    redundancy
    outliers
    Cleansing
    merging
    parsing
    formatting data
    statistical methods
    charts
    maps
    tables
    design elements
    dashboards
    summaries
    validation
    review
    Documentation
    versioning
    data lineage
    Retention
    audits
    regulations
    Access control
    encryption
    masking
    Profiling
    monitoring
    testing for data quality

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