Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI
Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI
The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:
- Prepare the data
- Deploy and maintain deliverables
- Analyze the data
- Visualize the data
- Model the data
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Analyzing Data with Microsoft Power BI Exam Certification Details:
| Books / Training | DA-100T00-A: Analyzing Data with Power BI |
| Sample Questions | Analyzing Data with Microsoft Power BI Sample Questions |
| Duration | 180 mins |
| Schedule Exam | Pearson VUE |
| Exam Name | Microsoft Certified - Data Analyst Associate |
| Passing Score | 700 / 1000 |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
| Exam Code | DA-100 |
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2. Data Model (25-30%):
The main domains of this section are:
- Creation of measures with DAX: The applicants should be able to utilize DAX in building multifaceted measures, use CALCULATE to maneuver filters, and utilize the fundamental statistical functions for enhancing data. This domain also requires their skills in creating semi-additive measures and implementing Time Intelligence with DAX.
- Data model development: This objective requires one’s ability to create hierarchies, calculated tables, and calculated columns. It also covers your skills in establishing Q&A features, implementing row-level security functions, and applying security filtering and cross-filter direction.
- Model performance optimization: This module will measure your competence in enhancing cardinality levels through changing data types and summarization. It will also evaluate your skills in eliminating unnecessary columns and rows, creating and managing aggregations, and identifying poorly performing visuals, measures, and relationships.
- Data model design: The learners need to have competence in defining tables, role-playing dimensions, quick measures, and cross-filter direction & relationship cardinality. The topic also requires their skills in designing a data model to fulfill the performance prerequisites, creating common data tables, and solving many-to-many relationships.
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Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze the data | 10-15% | - Perform advanced analysis - Identify patterns and trends - Apply AI visuals and insights |
| Topic 2: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Configure refresh and security - Share and distribute content |
| Topic 3: Prepare the data | 20-25% | - Profile and examine data - Clean, transform, and load data - Get data from different sources |
| Topic 4: Model the data | 25-30% | - Design and develop data models - Create measures using DAX - Optimize model performance - Create calculated tables and columns |
| Topic 5: Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |





