Updated: Aug 30, 2026
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The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.
This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.
This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.
Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.
This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Data with Microsoft Power BI (retired) |
| Exam Number: | DA-100 |
| Exam Price: | $165 USD (varies by region) |
| Available Languages: | Chinese (Simplified), Korean, Spanish (varies by region), English, French, Japanese, German |
| Certificate Validity Period: | Retired exam (previously 2 years certification validity; now replaced by PL-300 with renewable annual certification) |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 180 minutes |
| Passing Score: | 700 (out of 1000) |
| Exam Format: | Case studies, Drag and drop, Multiple choice, Lab-based simulations |
| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate (PL-300) |
| Recommended Training: | Microsoft Learn: Analyze Data with Power BI Microsoft Learn: Power BI Data Analyst (PL-300 learning path) |
| Exam Registration: | Microsoft Learn Exam Page (DA-100 legacy) Microsoft Certification Dashboard |
| Sample Questions: | Microsoft DA-100 Deutsch Sample Questions |
| Exam Way: | Online proctored or onsite via Pearson VUE test centers |
| Pre Condition: | No formal prerequisites required; basic understanding of data analytics and Power BI recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/da-100/ |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze the data | 10-15% | - Analyze data patterns
|
| Topic 2: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets
|
| Topic 3: Model the data | 25-30% | - Create calculated columns and measures
|
| Topic 4: Prepare the data | 20-25% | - Get data from data sources
|
| Topic 5: Visualize the data | 25-30% | - Create reports
|
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