CompTIA DA0-001日本語 Exam Details & Actual Exam Questions
- Exam Code/Number: DA0-001日本語
- Exam Name/Title: CompTIA Data+ Certification Exam (DA0-001日本語版)
- Certification Provider: CompTIA
- Corresponding Certification: CompTIA Data+
- Exam Questions: 398
- Updated On: Jul,27 2026
- Certification Level: Associate
CompTIA Data+ Certification Exam (DA0-001日本語版) Exam Questions
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CompTIA DA0-001日本語 Exam Overview:
| Certification Vendor: | CompTIA |
| Exam Name: | CompTIA Data+ Certification Exam DA0-001 |
| Exam Number: | DA0-001 |
| Real Exam Qty: | Up to 90 questions |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Passing Score: | 675 (on a scale of 100–900) |
| Exam Format: | Multiple-choice, Performance-based questions |
| Exam Price: | Approx. $246 USD (varies by region) |
| Recommended Training: | CompTIA Data+ Study Resources CompTIA CertMaster Learn for Data+ |
| Exam Registration: | CompTIA Data+ Official Exam Page Pearson VUE CompTIA Registration |
| Sample Questions: | CompTIA DA0-001日本語 Sample Questions |
| Exam Way: | Available via Pearson VUE test centers or online proctored exam. |
| Pre Condition: | No formal prerequisites required. Recommended: 18–24 months of experience in a data analytics or business intelligence role. |
| Official Syllabus URL: | https://www.comptia.org/certifications/data-plus |
CompTIA DA0-001日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization | 23% | - Chart and dashboard creation - Visualization best practices - Tool-based visualization techniques |
| Topic 2: Data Concepts and Environments | 15% | - Data structures and file formats - Data concepts and terminology - Data sources and acquisition methods |
| Topic 3: Data Governance, Quality, and Controls | 14% | - Data governance frameworks - Data quality management - Security, privacy, and compliance considerations |
| Topic 4: Data Analysis | 23% | - Data interpretation and reporting - Statistical methods and calculations - Trend and correlation analysis |
| Topic 5: Data Mining | 25% | - Pattern identification and extraction - Data acquisition and cleaning techniques - Data transformation and profiling |
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