CompTIA Data+ Exam: DA0-002 Exam

"CompTIA Data+ Exam", also known as DA0-002 exam, is a CompTIA Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 206 Q&As to your DA0-002 Exam preparation. In the DA0-002 exam resources, you will cover every field and category in CompTIA Data+ Certification helping to ready you for your successful CompTIA Certification.

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  • Updated on: Nov 10, 2026
  • No. of Questions: 206 Questions & Answers

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  • Updated on: Nov 10, 2026
  • No. of Questions: 206 Questions & Answers

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 5.0 Data Governance, Quality, and Controls
Topic 4
  • 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.

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

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CompTIA Data+ Sample Questions:

A data analyst troubleshoots a dashboard every day for a week. Which of the following techniques best addresses how to validate the data moving forward?

  • A. Setting up monitoring alerts
  • B. Inquiring about structure changes
  • C. Reaching out to users daily
  • D. Rebuilding the dashboard
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Which of the following tools would a data analyst most likely use to modify a simple data connection property in a configuration file?

  • A. SSMS
  • B. RStudio
  • C. Notepad++
  • D. Toad
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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A data analyst is designing a report for a grocery chain and needs to include stores, product placement, and SKUs. Which of the following best describes the data management concept that the analyst is considering?

  • A. Hierarchy
  • B. Versioning
  • C. Lineage
  • D. Monitoring
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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A data analyst is analyzing the following dataset:

Which of the following methods should the analyst use to determine the total cost for each transaction?

  • A. Deriving
  • B. Parsing
  • C. Scaling
  • D. Compressing
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Which of the following is found in metadata?

  • A. Syntax
  • B. Data lineage
  • C. Variable types
  • D. Transformations
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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