Requirements
The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Certification Opportunities
Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.
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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.
About Exam DA-100: Analyzing Data with Microsoft Power BI
The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.
Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Visualize the data | 25% | - Enforce accessibility
|
| Prepare the data | 20% | - Transform and load the data
|
| Analyze the data | 15% | - Enhance reports for usability and storytelling
|
| Model the data | 30% | - Create measures by using DAX
|
| Deploy and maintain deliverables | 10% | - Manage datasets
|





