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Free CompTIA Data+ Practice Test (DA0-001) 2026

Test your data analytics knowledge with free Data+ practice questions covering data concepts, data mining, data analysis, visualization, and governance.

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The CompTIA Data+ (DA0-001) validates skills in data analytics including data concepts, data mining, statistical analysis, data visualization, and data governance. It is vendor-neutral and designed for professionals who collect, analyze, and report on data to drive business decisions. Download the official CompTIA Data+ Exam Objectives for the full domain breakdown.

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CompTIA Data+ (DA0-001) validates data analytics and visualization skills

Data+ Practice Quiz

Score:0 / 0 (10 questions total)

1. A retail analytics team imports the customers table shown below into a relational warehouse. Each row has a fixed schema with typed columns and is queried using ANSI SQL with consistent join behavior. Which classification BEST describes the data the team is loading?

๐Ÿ“Š customers.xlsx โ€” Sheet1
A: customer_idB: full_nameC: emailD: signup_date
110241James Whitfieldjames@acme.com2025-11-03
210242Margaret Hollowaymargaret@acme.com2025-11-04
310243Thomas Bennettthomas@acme.com2025-11-05
  • A Unstructured data
  • B Structured data
  • C Semi-structured data
  • D Qualitative data

Right answer (B): That's correct! Structured data is organized into a predefined schema with rows and columns in a relational database, making it easy to query and analyze.

Wrong answers:

  • A): Unstructured data lacks a predefined format and includes items like images, videos, and free-form text documents.
  • C): Semi-structured data has some organizational properties like tags or markers (JSON, XML) but does not fit neatly into relational tables.
  • D): Qualitative data describes qualities or characteristics rather than referring to the organizational format of the data itself.

2. An analyst is asked to explain how the JOIN below is able to associate each order with the correct customer record across two physically separate tables. Which database object enforces referential integrity and BEST describes the role that orders.customer_id plays in this relationship?

๐Ÿ›ข schema.sql โ€” sales_db
-- Schema excerpt
CREATE TABLE orders (
  order_id     INT PRIMARY KEY,
  order_date   DATE,
  customer_id  INT NOT NULL,    -- references customers.customer_id
  total_amount DECIMAL(10,2)
);

SELECT o.order_id, c.full_name, o.total_amount
FROM   orders   o
JOIN   customers c ON o.customer_id = c.customer_id
WHERE  o.order_date >= '2026-01-01';
โœ“ 1,284 rows returned in 0.142s
  • A Index
  • B View
  • C Foreign key
  • D Stored procedure

Right answer (C): That's correct! A foreign key is a column in one table that references the primary key in another table, establishing a relationship that links records across tables.

Wrong answers:

  • A): An index improves query performance by creating a sorted lookup structure but does not define relationships between tables.
  • B): A view is a virtual table created from a saved SQL query that presents data from one or more tables without storing it separately.
  • D): A stored procedure is a precompiled set of SQL statements saved in the database for reuse, not a mechanism for linking tables.

3. The diagram below shows a nightly batch pipeline that pulls raw records from Salesforce, a Postgres OLTP system, and SFTP-delivered CSVs into a staging layer before any cleansing occurs. Which phase of ETL is represented by the very first arrow leaving each source system, and what does the "E" in ETL stand for?

Nightly ETL Pipeline
Source Systems SFDC ยท Postgres ยท CSV E? Staging Layer T Transform L Snowflake DW fact + dim tables
  • A Extract
  • B Evaluate
  • C Encrypt
  • D Export

Right answer (A): That's correct! Extract is the first phase of ETL where data is pulled from source systems such as databases, APIs, flat files, or cloud services into a staging area.

Wrong answers:

  • B): Evaluate is not part of the ETL acronym, although data quality checks may occur during the transformation phase.
  • C): Encrypt refers to securing data using cryptographic algorithms and is a security measure rather than a data pipeline step.
  • D): Export describes sending data out of a system and is the opposite direction of what extraction accomplishes in the ETL workflow.

4. The data quality profile below was produced after extracting the raw_customers feed but before loading it into the curated warehouse. Given the volume of nulls, duplicate emails, and inconsistent phone and state formats, which data preparation step MUST be performed next to make the dataset analysis-ready?

๐Ÿ Jupyter โ€” data_quality.ipynb
In [7]: profile_report(raw_customers, n=15420)
Out[7]:
Column     Nulls         Duplicates    Format issues
-------    ----------    -----------   ----------------------------
email      312 (2.0%)    847 dupes     141 missing "@"
phone      2,104 (13.6%) โ€”             mixed (xxx) vs xxx-xxxx
state      88  (0.6%)    โ€”             "CA" vs "California"
  • A Data visualization
  • B Data aggregation
  • C Data partitioning
  • D Data cleaning

Right answer (D): That's correct! Data cleaning involves identifying and correcting errors such as duplicate records, missing values, inconsistent formats, and invalid entries to improve data quality.

Wrong answers:

  • A): Data visualization presents data graphically and is used after cleaning to communicate findings, not to fix data quality issues.
  • B): Data aggregation combines multiple data points into summary statistics like totals or averages but does not address duplicates or missing values.
  • C): Data partitioning splits datasets into subsets for processing or analysis but does not resolve underlying quality problems in the data.

5. A CMO wants to predict next quarter's revenue from a planned advertising budget and quantify the dollar lift produced by each additional $1,000 of spend. Given the monthly observations and high Pearson correlation shown below, which statistical method is MOST appropriate to model this relationship and generate a coefficient she can present to the board?

๐Ÿ“Š Tableau โ€” Ad Spend vs Revenue (12 mo)
Pearson r = 0.97 $540K $300K $0 Jan ($12K) Apr ($25K) Jul ($38K) Oct ($52K) Ad spend (monthly)
Goal: predict revenue from spend & quantify $ lift per $1K spent.
  • A Frequency distribution
  • B Regression analysis
  • C Time series decomposition
  • D Cluster analysis

Right answer (B): That's correct! Regression analysis models the relationship between a dependent variable (revenue) and one or more independent variables (advertising spend) to quantify their correlation.

Wrong answers:

  • A): Frequency distribution shows how often each value appears in a dataset but cannot measure the relationship between two different variables.
  • C): Time series decomposition breaks data into trend, seasonal, and residual components over time but is not designed for measuring cause-effect relationships.
  • D): Cluster analysis groups similar data points together based on characteristics but does not quantify the strength of a relationship between specific variables.

6. The pandas summary below describes order totals from an e-commerce checkout log. The mean ($287.40) sits well above the median ($71.50), the standard deviation is more than double the mean, and a handful of B2B bulk orders reach $18,420. Which statement BEST characterizes the shape of this distribution?

๐Ÿ Jupyter โ€” analysis.ipynb
In [4]: df['order_total'].describe()
Out[4]:
count    25,418.00
mean         287.40
std          642.18
min            4.99
25%           42.10
50%           71.50    <-- median
75%          168.25
max       18,420.00
mode          39.99

skewness  = +3.82
kurtosis  = 21.4
  • A The distribution is normal
  • B The distribution is left-skewed
  • C The distribution is right-skewed
  • D The distribution is bimodal

Right answer (C): That's correct! When the mean is significantly higher than the median, outliers on the high end pull the average up, indicating a right-skewed (positively skewed) distribution.

Wrong answers:

  • A): A normal distribution has the mean, median, and mode approximately equal with a symmetric bell curve shape.
  • B): A left-skewed distribution would show the mean lower than the median because outliers on the low end pull the average down.
  • D): A bimodal distribution has two peaks but does not necessarily cause the mean to exceed the median in a predictable direction.

7. A marketing director wants a single board-ready visual that emphasizes how the four product categories below compose the whole of Q1 revenue, with no need to track change over time or compare absolute magnitudes between unrelated metrics. Which chart type is BEST suited to communicate this part-to-whole relationship?

๐Ÿ“Š Power BI โ€” Q1 Revenue Share by Category
Q1 Revenue Share by Category 42% 28% 18% 12% Electronics $4.2M Apparel $2.8M Home $1.8M Other $1.2M
  • A Pie chart
  • B Scatter plot
  • C Histogram
  • D Line chart

Right answer (A): That's correct! A pie chart displays proportional parts of a whole, making it ideal for showing percentage breakdowns of categories that sum to 100%.

Wrong answers:

  • B): A scatter plot shows the relationship between two continuous variables using data points on an x-y axis, not category proportions.
  • C): A histogram displays the frequency distribution of a single continuous variable across bins, not categorical percentage breakdowns.
  • D): A line chart shows trends over time by connecting sequential data points and is not designed for showing proportional category splits.

8. A retailer streams point-of-sale events into Snowflake every 30 seconds and asks an analyst to deliver a viewing experience where regional managers can monitor current-day sales and drill from region to store to SKU without manually re-running queries or re-emailing files. Which reporting approach BEST satisfies these requirements (see live KPI dashboard mock below)?

๐Ÿ“Š Tableau โ€” Live Sales Dashboard
โ— Live ยท refresh 30s
TODAY'S SALES
$284,712
TRANSACTIONS
3,841
AVG TICKET
$74.12
Sales by Region (today) North South East West Central
โ–พ Drill: Region โ†’ Store โ†’ SKU
  • A Static PDF report
  • B Printed spreadsheet
  • C One-time email summary
  • D Dynamic dashboard with live data connection

Right answer (D): That's correct! A dynamic dashboard with a live data connection refreshes automatically when underlying data changes, providing real-time insights without manual intervention.

Wrong answers:

  • A): A static PDF report is a fixed snapshot that requires manual regeneration each time data changes.
  • B): A printed spreadsheet captures data at one point in time and cannot update itself as new records are entered.
  • C): A one-time email summary delivers information once and does not refresh or update with subsequent data entries.

9. A SaaS company that processes EU customer records is preparing for its first GDPR audit and has defined the RACI shown below to cover lawful basis, right-to-erasure, and cross-border transfer activities. Which data governance practice does this RACI implement to ensure personal data is collected, stored, and processed in line with regulatory obligations?

๐Ÿ“‹ RACI Matrix โ€” GDPR EU Customer PII
ActivityDPOStewardAnalystLegal
Lawful basis reviewACIR
Right-to-erasure handlingARIC
Cross-border transfer DPIARCIA
R = Responsible ยท A = Accountable ยท C = Consulted ยท I = Informed
  • A Data warehousing
  • B Data privacy and compliance policies
  • C Data visualization standards
  • D Data compression algorithms

Right answer (B): That's correct! Data privacy and compliance policies define how personal data is collected, stored, processed, and shared in accordance with regulations like GDPR, CCPA, and HIPAA.

Wrong answers:

  • A): Data warehousing is a storage architecture for consolidating data from multiple sources for analysis, not a governance or compliance practice.
  • C): Data visualization standards govern how charts and dashboards are designed for clarity, not how personal data is legally handled.
  • D): Data compression algorithms reduce file sizes for storage efficiency and have no bearing on regulatory compliance or privacy requirements.

10. The Snowflake configuration below creates two roles, grants narrowly scoped SELECT privileges to each, assigns roles to specific users, and produces an "insufficient privileges" error when a finance analyst tries to read the HR salary table. What is the PRIMARY purpose of implementing role-based access control (RBAC) in this analytics platform?

โ„ rbac.sql โ€” Snowflake
-- Snowflake RBAC excerpt
CREATE ROLE finance_analyst;
CREATE ROLE hr_analyst;

GRANT SELECT ON SCHEMA finance.* TO ROLE finance_analyst;
GRANT SELECT ON TABLE  hr.salaries TO ROLE hr_analyst;

GRANT ROLE finance_analyst TO USER jdoe;   -- Finance team
GRANT ROLE hr_analyst      TO USER asmith; -- People Ops

-- jdoe attempts:
SELECT * FROM hr.salaries;
โœ— ERROR: Insufficient privileges on object 'SALARIES'
  • A Improve query performance
  • B Automate data backups
  • C Restrict data access based on user roles
  • D Normalize database tables

Right answer (C): That's correct! Role-based access control restricts system access by assigning permissions based on user roles, ensuring individuals can only view or modify data relevant to their job functions.

Wrong answers:

  • A): Improving query performance involves indexing, caching, and query optimization techniques that are unrelated to access control mechanisms.
  • B): Automating data backups is a disaster recovery practice managed by backup scheduling tools, not access control policies.
  • D): Normalizing database tables is a schema design technique that reduces data redundancy and has nothing to do with controlling who can access the data.

Quiz Complete!

0/10

Here's how you performed across Data+ domains:

0/2Concepts
0/2Mining
0/2Analysis
0/2Visualization
0/2Governance

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Data+ Domain Weights (DA0-001)

Data Concepts & Environments25%
Data Mining17%
Data Analysis23%
Visualization23%
Data Governance, Quality, & Controls12%

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Free Data+ Flashcards

1 / 5

What are the three main types of data: structured, semi-structured, and unstructured?

Click to flip

Structured data fits in rows and columns (databases). Semi-structured has tags or markers (JSON, XML). Unstructured has no predefined format (images, videos, emails).

Frequently Asked Questions

The Data+ (DA0-001) passing score is 675 on a 100-900 scale. The exam includes up to 90 questions with a 90-minute time limit.

Data+ is valuable for professionals entering data analytics who need a vendor-neutral credential. It validates foundational analytics skills and is recognized by employers seeking data-literate candidates.

Data+ is a proctored certification exam recognized by CompTIA, while Google Data Analytics is a self-paced course with a completion certificate. Data+ carries more weight with employers who value standardized testing.

CompTIA recommends 18-24 months of experience in a data analytics role. Familiarity with spreadsheets, basic SQL, and statistical concepts is strongly recommended before attempting the exam.

The Data+ exam voucher costs approximately $369 USD. CompTIA offers bundles with retake vouchers and training materials at a discount.

Yes, Data+ includes performance-based questions simulating real scenarios like interpreting datasets, selecting appropriate chart types, or identifying data quality issues.

Data+ is valid for three years. Renewal requires 20 CEUs through CompTIA's Continuing Education program or passing a higher-level CompTIA certification.

Data+ qualifies you for data analyst, business analyst, reporting analyst, data quality specialist, and analytics consultant roles. Salaries range from $55,000 to $85,000.

Key tools include SQL for querying databases, Excel or Google Sheets for analysis, Tableau or Power BI for visualization, Python or R for statistical analysis, and basic ETL concepts.

No programming experience is required, though basic SQL knowledge is helpful. Data+ focuses on concepts, analysis methods, and data governance rather than coding skills.

Data+ covers foundational analytics including data concepts, mining, visualization, and governance. Data science certifications focus on advanced topics like machine learning, predictive modeling, and deep learning algorithms.

CertLabz offers full-length Data+ practice exams with 90+ questions, data analysis labs, PBQ simulations, domain breakdowns with progress tracking, and flashcards. Plans start at $10/month.

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