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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam
Exam Number:DA0-002
Exam Duration:90 minutes
Real Exam Qty:Up to 90
Available Languages:English
Exam Price:$255 USD
Passing Score:720 (scale 100–900)
Exam Format:Multiple-choice, Performance-based questions
Certificate Validity Period:3 years
Recommended Training:CompTIA Official Training
Exam Registration:CompTIA Official Registration
Pearson VUE Testing
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended 18–24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization
Official Syllabus URL:https://www.comptia.org/certifications/data

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.

CompTIA Data+ Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which of the following programming languages are the most efficient at performing data mining and statistical analysis? (Choose two.)

Answer: A,F

Explanation:
R is specifically designed for statistical analysis and data mining, offering extensive statistical libraries. Python provides powerful data processing and machine learning libraries, making it highly efficient for data mining and analysis tasks.


NEW QUESTION # 60
A data analyst needs to provide a weekly sales report for the Chief Financial Officer. Which of the following delivery methods is the most appropriate?

Answer: C

Explanation:
A high-level email provides a concise summary of key sales metrics, which aligns with executive needs for quick, decision-focused insights without excessive detail.


NEW QUESTION # 61
Which of the following allows the transfer of isolated applications to multiple environments?

Answer: A

Explanation:
Containerization packages an application with all its dependencies into a portable container, allowing it to run consistently across multiple environments without conflicts.


NEW QUESTION # 62
Which of the following best describes the function of a data flow diagram?

Answer: C

Explanation:
A data flow diagram illustrates how data moves through a system, including how it is collected, processed, stored, and output.


NEW QUESTION # 63
Which of the following best describes the method used to combine files, software, and libraries for use on various operating systems and environments?

Answer: C

Explanation:
Containerization bundles applications with their dependencies, including files, libraries, and runtime components, enabling consistent execution across different operating systems and environments.


NEW QUESTION # 64
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