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Last Updated: Aug 02, 2026
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CompTIA DA0-001 Exam Reference
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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Go to the official website of CompTIA Data+ and click on the “Register” button.
Fill in all the required fields in the registration form and click on “Submit”.
A confirmation email will be sent to you, which contains a link to activate your account and a link to print your exam voucher (you can also opt for an alternative method of delivery).
Go through your exam voucher and note down all the details mentioned on it, including: Exam ID, Exam Number, Date, Time & Location of test, Venue Phone Number (if applicable).
Take a printout of this voucher and carry it with you when appearing for your exam at the specified venue on that particular day/time window allotted by CompTIA to test centers worldwide
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Concepts and Environments | 15% | - Compare and contrast different data types - Identify basic concepts of data schemas and dimensions - Compare and contrast common data structures and file formats |
| Topic 2: Visualization | 23% | - Given a scenario, use appropriate methods for dashboard development - Given a scenario, apply the appropriate type of visualization - Explain important aspects of a report that tell a data story - Given a scenario, translate business requirements to support data-driven decisions - Compare and contrast types of reports |
| Topic 3: Data Mining | 25% | - Explain data acquisition concepts - Identify common reasons for cleansing and profiling datasets - Explain common techniques for data manipulation and optimization - Given a scenario, execute techniques for data manipulation |
| Topic 4: Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Explain key aspects of data quality - Compare and contrast types of data controls |
| Topic 5: Data Analysis | 23% | - Given a scenario, apply the appropriate descriptive statistical methods - Summarize types of analysis and key analysis techniques - Explain the purpose of inferential statistical methods |
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