Power BI Data Analyst

Power BI Data Analyst has an in-depth overview of the entire Power BI Desktop and Power BI Online Service, allowing him to build custom reports, publish his work to the cloud and manage data access of his reports using row-level security.

To build Power BI Data Analyst expertise, one must be equipped with advanced DAX knowledge and scenario analysis techniques to help you build high-level data models, work on time-related cases and unique data challenges of various business functions, create high-level reports that satisfy the requirements of everyday business cases and solve complex real-world scenarios.

EDNA Measure Up practice test for Microsoft Power BI Data Analyst Skills

This Assessment test is consisting of 24 questions.

The Microsoft Power BI Data Analyst Skills Assessment Test is for individuals who have the ability to accomplish the following technical tasks:

• Collecting and transforming data: Candidates should be able to use Power Query to connect to various data sources, transform and clean data, and load it into Power BI.
• Modeling and visualizing data: Candidates should be able to create data models that support business requirements and use DAX to create calculated columns and measures. They should also be able to create reports and visualizations that effectively communicate insights to stakeholders.
• Analyzing data: Candidates should be able to use advanced analytical techniques such as forecasting, clustering, and regression analysis to gain insights from data.
• Managing and sharing data: Candidates should be able to create and manage workspaces, dashboards, and reports in Power BI, and share them with stakeholders through various channels.
• Troubleshooting and optimizing data solutions: Candidates should be able to troubleshoot common data issues and optimize data solutions for performance and scalability.

Overall, the Microsoft Power BI Data Analyst Skills Assessment Test is designed to evaluate a candidate's ability to use Power BI effectively to collect, transform, model, visualize, analyze, manage, and share data.