Power Bi Interview Questions For Experienced Professionals
Expert-Level Power BI Interview Questions
Power Bi Interview Questions For Experienced Professionals
Power BI interview questions for experienced professionals often focus on advanced topics such as DAX functions, data modeling, performance optimization, and integrating Power BI with other tools like SQL Server. Employers may also inquire about a candidate's experience in designing interactive and visually appealing reports and dashboards, handling large datasets efficiently, and troubleshooting common issues in Power BI implementations. Additional questions may involve discussing real-world scenarios where Power BI was used to solve specific business challenges and the candidate's approach to project management, collaboration, and working within a team. Overall, candidates should be well-versed in both the technical and practical aspects of using Power BI in a business setting to demonstrate their expertise and suitability for the role.
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1 - What is the difference between Power BI Pro and Premium? Power BI Pro is a subscription based service that allows individual users to create and share reports and dashboards, while Power BI Premium is a capacity based licensing model that allows organizations to deploy Power BI at an enterprise scale and deliver personalized insights to all users. Premium also provides larger data storage limits and enhanced performance.
2) How can you optimize data refresh performance in Power BI? To optimize data refresh performance, you can use incremental refresh to only load new or modified data into your dataset, reduce the number of rows loaded, and use direct query mode where applicable. Additionally, you can schedule data refresh during off peak hours to minimize impact on system performance.
3) What are some best practices for data modeling in Power BI? Some best practices for data modeling include creating a star schema with a central fact table and related dimension tables, avoiding circular dependencies, using DAX calculations to define relationships and calculations, and optimizing data types and hierarchies for efficient querying and visualization performance.
4) How can you secure sensitive data in Power BI reports? To secure sensitive data in Power BI reports, you can use row level security to restrict access to specific rows of data based on user roles, enable encryption for data at rest and in transit, and manage access permissions at the dataset, report, and workspace levels. Additionally, you can use Azure Active Directory for authentication and access control.
5) What is the difference between calculated columns and measures in Power BI? Calculated columns are calculated at the row level and stored in the data model, while measures are calculated on the fly based on the context of the visualization or calculation. Measures are more flexible and dynamic, allowing for aggregations and calculations based on user interactions, while calculated columns are more static and can impact performance if overused.
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