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Exam DA-100: Analyzing Data with Microsoft Power BI
Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.
Part of the requirements for: Microsoft Certified: Data Analyst Associate
The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.
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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 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.
- 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 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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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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.
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Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |
| Topic 2: Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Manage workspaces and datasets - Share and distribute content |
| Topic 3: Analyze the data | 10-15% | - Identify patterns and trends - Perform advanced analysis - Apply AI visuals and insights |
| Topic 4: Model the data | 25-30% | - Create calculated tables and columns - Design and develop data models - Optimize model performance - Create measures using DAX |
| Topic 5: Prepare the data | 20-25% | - Clean, transform, and load data - Get data from different sources - Profile and examine data |
