2026 CompTIA Useful DA0-002: PDF CompTIA Data+ Exam Download

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CompTIA DA0-002 Exam Syllabus Topics:

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

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CompTIA Data+ Exam Sample Questions (Q93-Q98):

NEW QUESTION # 93
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?

Answer: D

Explanation:
A pivot table is used to aggregate, summarize, and analyze large data sets, enabling quick insights such as totals, averages, and groupings.


NEW QUESTION # 94
A data analyst worked on a project that contained medical content and a list of requirements.
Which of the following are most likely the reasons the privacy team flagged the analyst's report?
(Choose two.)

Answer: A,D

Explanation:
Medical data contains highly sensitive information, so insufficient anonymization of identifying values can leave individuals vulnerable to re-identification and violate privacy requirements.
Additionally, PHI (Protected Health Information) should be encrypted to protect confidentiality and meet regulatory and security expectations. These issues would be likely reasons for a privacy team to flag the report.


NEW QUESTION # 95
Which of the following file formats uses curly brackets to surround objects?

Answer: D

Explanation:
JSON (JavaScript Object Notation) represents objects using curly brackets { }. Each object contains key-value pairs enclosed within these brackets, making JSON a common format for exchanging structured data between systems and applications.


NEW QUESTION # 96
Which of the following tools would a data analyst most likely use to modify a simple data connection property in a configuration file?

Answer: A

Explanation:
Notepad++ is a lightweight text editor commonly used to open and modify configuration files, including simple data connection properties.


NEW QUESTION # 97
The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?

Answer: D

Explanation:
A scatter plot is used to visualize the relationship between two numerical variables, such as age and income, allowing patterns or correlations to be identified.


NEW QUESTION # 98
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