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Microsoft DA-100 exam covers various topics, including data modeling, data visualization, data transformation, and data analysis. DA-100 exam requires candidates to demonstrate their proficiency in these areas by performing tasks such as creating reports and dashboards, connecting to various data sources, and transforming data into usable formats. DA-100 exam is designed to test real-world scenarios, ensuring that candidates can apply their knowledge to real-world situations.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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Microsoft DA-100 certification exam is designed for professionals who want to demonstrate their proficiency in analyzing data with Microsoft Power BI. Power BI is a powerful business analytics tool that enables organizations to visualize and analyze data from a variety of sources. Analyzing Data with Microsoft Power BI certification exam covers a wide range of topics, including data preparation, data modeling, data visualization, and data analysis.
The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.
Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 25-30% | - Design data models
|
| Topic 2: Deploy and maintain deliverables | 10-15% | - Secure and share content
|
| Topic 3: Analyze the data | 10-15% | - Perform advanced analytics
|
| 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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Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
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