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CompTIA Data+ Certification : DA0-001
- Exam Code: DA0-001
- Exam Name: CompTIA Data+ Certification Exam
- Updated: Oct 16, 2026
- Q & A: 398 Questions and Answers
About CompTIA Data+ Certification : DA0-001 Exam
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CompTIA DA0-001 Exam Reference
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Introduction of CompTIA DA0-001 Exam
The CompTIA Data+ certification is a vendor neutral certification that validates the ability to use data to solve business problems. It is designed for professionals who work with or support IT, including IT manager, analyst, consultant and project manager.
CompTIA Data+ is focused on the skills necessary to analyze, manage and implement information technology systems within an organization. The exam covers how to collect and analyze data using tools such as spreadsheets and databases; how to use this data to make informed decisions about IT projects; how to create reports from the data; how to communicate findings clearly and concisely through presentations and reports; how to identify security issues related to information assets; and how to apply appropriate standards for data management practices across your company or organization. CompTIA DA0-001 exam dumps are the best practice exams.
The CompTIA Data+ certification is designed for professionals working in a variety of fields such as finance, marketing, human resources, sales and legal who use data in their jobs. The manipulation of the schedule programming dimensions driven updates role components activity interface busy campaigns advertising reasons activities with decision news.
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analysis | 23% | - Given a scenario, apply the appropriate descriptive statistical methods - Explain the purpose of inferential statistical methods - Summarize types of analysis and key analysis techniques |
| Data Mining | 25% | - Identify common reasons for cleansing and profiling datasets - Given a scenario, execute techniques for data manipulation - Explain data acquisition concepts - Explain common techniques for data manipulation and optimization |
| Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Compare and contrast types of data controls - Explain key aspects of data quality |
| Visualization | 23% | - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports - Given a scenario, translate business requirements to support data-driven decisions - Given a scenario, use appropriate methods for dashboard development - Explain important aspects of a report that tell a data story |
| Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types |
CompTIA Data+ Certification Sample Questions:
Question #1
Given the image below:
The data should be cleaned because of the presence of:
- A. outlier
- B. multicollinearity.
- C. invalid data.
- D. non-parametric data.
Correct Answer: A 🗳️
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Question #2
Given the following table of student scores (with some values that violate the allowed scoring rules), which of the following is the best reason for cleansing the data?
- A. Redundant data
- B. Missing data
- C. Invalid data
- D. Data outliers
Correct Answer: C 🗳️
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Question #3
Which of the following would a data analyst look for first if 100% participation is needed on survey results?
- A. Redundant data
- B. Duplicate data
- C. Missing data
- D. Invalid data
Correct Answer: C 🗳️
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Question #4
A sales analyst needs to report how the sales team is performing to target. Which of the following files will be important in determining 2019 performance attainment?
- A. 2018 goal data
- B. 2019 goal data
- C. 2018 actual revenue
- D. 2019 commission plan
Correct Answer: B 🗳️
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Question #5
An analyst is currently working on a ticket for revamping a company-wide dashboard that has been in use for five years. Which of the following should be the first step in the development process?
- A. Develop a more streanMined dashboard to roll out by the next delivery date.
- B. Talk to the group that made the request to determine the desired goal.
- C. Build an additional dashboard with fewer views that are tailored toward each specific team.
- D. Make changes to a frequently used report that is already in production.
Correct Answer: B 🗳️
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