Microsoft Power BI Practice Exam

Microsoft Power BI is a software application from Micrososft which is used for business analytics to get insights from data which is organized, transformed and analyzed for decision making. The software generates interactive reports and dashboards using data modeling, querying, reporting, and data sharing, from different data sources like Excel, Azure, etc.

Certification in Microsoft Power BI attests to your skills and knowledge in Power BI, data analysis, interactive visualizations, dashboard, data modeling, visualization, and reporting.
Why is Microsoft Power BI certification important?

• The certification certifies to your skills in using Power BI for data analysis and reporting.
• Increases your career prospects in data analysis, BI (business intelligence), and reporting.
• Boosts your job opportunities in Power BI related roles.
  
• Add to your credibility as a data analyst.
• Shows your expertise in data modeling, visualizations, and reports.
• Gives you an edge in BI roles.

Who should take the Microsoft Power BI Exam?

• Data Analyst
• Business Intelligence Analyst
• Data Scientist
• Business Analyst
• Financial Analyst
• Reporting Analyst
• Power BI Developer
• Data Engineer
• IT Analyst
• Marketing Analyst

Skills Evaluated

Candidates taking the certification exam on the Microsoft Power BI is evaluated for the following skills:

• Data Transformation and Cleaning
• Data Modeling
• Data Analysis
• Report Creation
• Data Visualization
• Data Sharing
• Integration with Other Data Sources
  

Microsoft Power BI Certification Course Outline
The course outline for Microsoft Power BI certification is as below -

1. Power BI Desktop and Data Preparation

• Overview of Power BI Desktop
• Connecting to data sources (Excel, CSV, SQL, Web)
• Data transformation with Power Query
• Data cleansing techniques (removing duplicates, handling missing data)
• Shaping and combining data from different sources

2. Data Modeling

• Understanding data models (star schema, snowflake schema)
• Creating relationships between tables
• Defining calculated columns, measures, and hierarchies
• Using DAX to build advanced calculations

3. Data Visualization

• Creating charts, tables, maps, and other visual elements
• Customizing visuals for user-friendly dashboards
• Using Power BI themes and design best practices
• Implementing drill-through, drill-down, and tooltips for interactive reports

4. Advanced Analytics

• Implementing advanced DAX functions
• Using Time Intelligence functions for time-based analysis
• Performing data aggregation and filtering

5. Publishing and Sharing Reports

• Publishing reports to Power BI Service
• Creating and sharing dashboards
• Managing report permissions and user access
• Scheduling data refreshes and ensuring up-to-date reports

6. Power BI Service and Collaboration

• Overview of Power BI Service
• Creating and sharing workspaces and apps
• Collaboration with teams using shared reports and dashboards
• Integrating Power BI with other Microsoft tools (Teams, SharePoint)