Benefits
The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.
The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. TestPDF Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.
Understanding Microsoft Power BI Data Analyst Certification Exam Topics
Microsoft Power BI Data Analyst Certification Exam Topics are below:
- Visualize and analyze the data (25-30%)
- Deploy and maintain assets (20-25%)
- Prepare the data (15-20%)
- Model the data (30-35%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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Microsoft PL-300 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Prepare the data | 15-20% | - Get data from data sources
- 1. Select storage modes
- 2. Identify and connect to data sources
- Clean, transform, and load data
- 1. Clean data using Power Query
- 2. Shape and transform data
|
| Topic 2: Visualize and analyze data | 25-35% | - Create reports and dashboards
- 1. Create visuals and KPIs
- 2. Design report layouts
- Enhance reports for usability
- 1. Implement drill-through and navigation
- 2. Apply filters and slicers
|
| Topic 3: Model the data | 30-40% | - Design a data model
- 1. Design star schema
- 2. Define relationships and cardinality
- Develop a data model
- 1. Create DAX calculations
- 2. Optimize model performance
|
| Topic 4: Deploy and maintain assets | 15-20% | - Manage workspaces and datasets
- 1. Configure refresh schedules
- 2. Publish and manage datasets
- Secure and monitor Power BI
- 1. Implement row-level security
- 2. Monitor usage and performance
|