Microsoft DA-100日本語 Exam Details & Actual Exam Questions
- Exam Code/Number: DA-100日本語
- Exam Name/Title: Analyzing Data with Microsoft Power BI (DA-100日本語版)
- Certification Provider: Microsoft
- Corresponding Certification: Microsoft Certified: Data Analyst Associate
- Exam Questions: 150
- Updated On: Sep,17 2026
- Certification Level: Associate
Microsoft Analyzing Data with Microsoft Power BI (DA-100日本語版) Exam Questions
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Microsoft DA-100日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Data with Microsoft Power BI |
| Exam Number: | DA-100 |
| Exam Price: | $165 USD |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 150-180 |
| Available Languages: | Chinese (Simplified), Russian, Korean, Chinese (Traditional), Arabic (Saudi Arabia), Japanese, German, English, Indonesian (Indonesia), French, Spanish, Italian, Portuguese (Brazil) |
| Passing Score: | 700/1000 |
| Related Certifications: | PL-300: Microsoft Power BI Data Analyst |
| Exam Format: | Multiple-choice, Drag-and-drop, Multiple-select, Scenario-based, Case study |
| Certificate Validity Period: | Retired on March 31, 2022; certification valid for lifetime once earned |
| Recommended Training: | DA-100T00: Analyzing Data with Power BI Microsoft Learn Self-Paced Modules |
| Exam Registration: | Pearson VUE Registration Microsoft Learn Exam Page |
| Sample Questions: | Microsoft DA-100日本語 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized Pearson VUE test centers |
| Pre Condition: | No official prerequisites; basic knowledge of data analysis, Excel, and SQL recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/da-100/ |
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |
| Analyze the data | 10-15% | - Apply AI visuals and insights - Identify patterns and trends - Perform advanced analysis |
| Model the data | 25-30% | - Create calculated tables and columns - Optimize model performance - Create measures using DAX - Design and develop data models |
| Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Configure refresh and security - Share and distribute content |
| Prepare the data | 20-25% | - Profile and examine data - Clean, transform, and load data - Get data from different sources |
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