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CompTIA DA0-002

DA0-002

Exam Code: DA0-002

Exam Name: CompTIA Data+ Exam

Updated: Oct 11, 2026

Q&A Number: 206 Q&As

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
Topic 2
  • Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
Topic 3
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
Topic 4
  • Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.

Reference: https://www.comptia.org/en-us/certifications/data/v2/

CompTIA Data+ Sample Questions:

Question #1
Which of the following data repositories stores unstructured and structured data?

A. Data mart
B. Data silo
C. Data lake
D. Data store


Question #2
A data analyst wants to find the mean score that students received in science classes. Given the following tables:

Which of the following will produce the desired results?

A. COUNT and GROUP
B. SUM and GROUP
C. CONCAT and WHERE
D. AVERAGE and WHERE


Question #3
A data analyst is creating a pivot table for a large data set for an upcoming board meeting. Which of the following is the purpose of the pivot table?

A. To retrieve and clean data from several sources
B. To organize the data for reporting
C. To visualize the data in a dashboard
D. To summarize and analyze the data


Question #4
A manager needs a report to be sent by email every Monday for the next six months. Which of the following is the best way to accomplish this task?

A. Creating a data snapshot
B. Developing a recurring process
C. Waiting for the request each week
D. Building self-service access


Question #5
A data analyst is reviewing a new data source that contains employee IDs, job titles, dates of birth, addresses, years of service, and employees' birth months. Which of the following inconsistencies should the analyst identify?

A. Completeness
B. Duplication
C. Outliers
D. Redundancy


Solutions:

Question #1
Correct Answer: C
Question #2
Correct Answer: D
Question #3
Correct Answer: D
Question #4
Correct Answer: B
Question #5
Correct Answer: D

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