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What are the steps to follow for the registration for the CompTIA DA0-001 Exam
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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For more info read reference:
CompTIA DA0-001 Exam Reference
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 Mining | 25% | - Given a scenario, execute techniques for data manipulation - Identify common reasons for cleansing and profiling datasets - 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% | - Explain important aspects of a report that tell a data story - Given a scenario, apply the appropriate type of visualization - Given a scenario, translate business requirements to support data-driven decisions - Given a scenario, use appropriate methods for dashboard development - Compare and contrast types of reports |
| 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 |
| Data Analysis | 23% | - Summarize types of analysis and key analysis techniques - Explain the purpose of inferential statistical methods - Given a scenario, apply the appropriate descriptive statistical methods |
