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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 (Analyzing Data with Microsoft Power BI) Certification Exam is a great way for professionals to demonstrate their knowledge and skills in data analysis using Power BI. Analyzing Data with Microsoft Power BI certification exam is recognized globally and is highly valued by employers. It is an excellent way for professionals to differentiate themselves in a crowded job market and increase their earning potential.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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To prepare for the DA-100 exam, Microsoft offers a range of study materials and resources, including online courses, practice tests, and free tutorials. Candidates can also take advantage of Microsoft's certification community to connect with other professionals and share tips and advice. By passing the Microsoft DA-100 exam, professionals can demonstrate their proficiency in using Power BI to analyze data and create insights that drive business decisions.
Microsoft DA-100 certification exam is a relatively new certification option offered by Microsoft, aimed at data analysts and business intelligence professionals. DA-100 exam focuses on testing candidates' knowledge and skills in using Microsoft Power BI to analyze and visualize data, create reports and dashboards, and share insights with stakeholders.
Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 20-25% | - Clean, transform, and load data - Get data from different sources - Profile and examine data |
| Topic 2: Model the data | 25-30% | - Design and develop data models - Optimize model performance - Create calculated tables and columns - Create measures using DAX |
| Topic 3: Analyze the data | 10-15% | - Perform advanced analysis - Apply AI visuals and insights - Identify patterns and trends |
| Topic 4: Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |
| Topic 5: Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
