Exam Name: CompTIA Data+ Certification Exam
Certification Provider: CompTIA
Corresponding Certification: CompTIA Data+
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Instant Download DA0-001 Exam Dumps : CompTIA Data+ Certification Exam
Updated: Aug 23, 2026
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CompTIA DA0-001 exam covers a range of topics related to data management, including data storage, retrieval, analysis, and security. DA0-001 exam is intended for IT professionals who are involved in data management, including database administrators, data analysts, and data architects. It is also suitable for IT professionals who are interested in expanding their knowledge of data management.
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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CompTIA Data+ Certification exam covers a variety of topics related to data management, including data storage, retrieval, and analysis. DA0-001 exam also touches on topics such as data security, compliance, and ethics. CompTIA Data+ Certification Exam certification is designed to validate a candidate's ability to design and implement effective data management strategies that meet the needs of modern businesses.
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CompTIA DA0-001 exam is a certification exam designed to test an individual's knowledge of data management and analysis. DA0-001 exam is intended for professionals who are seeking to validate their understanding of data storage, processing, and analysis in order to advance their careers in the field of data management.
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The exam cost of the CompTIA DA0-001 Exam is 239 USD.
CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization | 23% | - Given a scenario, use appropriate methods for dashboard development - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports - Explain important aspects of a report that tell a data story - Given a scenario, translate business requirements to support data-driven decisions |
| Topic 2: 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 |
| Topic 3: Data Governance, Quality, and Controls | 14% | - Explain key aspects of data quality - Compare and contrast types of data controls - Summarize important data governance concepts |
| Topic 4: Data Mining | 25% | - Explain common techniques for data manipulation and optimization - Explain data acquisition concepts - Identify common reasons for cleansing and profiling datasets - Given a scenario, execute techniques for data manipulation |
| Topic 5: 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 |
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