Intermediate Level

1. What is the role of Power Query in Power BI, and how does it facilitate data preparation?

Power Query is used for data transformation and cleansing tasks within Power BI. It enables users to extract, transform, and load data from various sources, allowing for efficient data preparation before analysis.

2. Explain the concept of drill-through in Power BI reports.

Drill-through in Power BI allows users to navigate from one report to another by clicking on a data point. It enables users to explore details at a more granular level while maintaining context within the main report.

3. How can you create hierarchies in Power BI, and what benefits do they offer?

Hierarchies in Power BI are created by combining related fields to represent data at different levels of granularity, such as year, quarter, month. They provide a structured way to drill down into data and analyze it at various levels of detail.

4. What is the purpose of Power BI templates, and how can they be used?

Power BI templates are pre-built report structures that can be reused across different datasets. They help in standardizing report layouts and formatting, saving time in report creation and ensuring consistency across reports.

5. Explain the difference between calculated columns and measures in Power BI. Provide examples of when to use each.

Calculated columns are computed at the row level within the data model, whereas measures are computed dynamically based on the context of visualization. Calculated columns are used for static calculations, while measures are used for aggregations and calculations based on user interaction.

6. How can you create custom visuals in Power BI?

Custom visuals in Power BI can be created using the Power BI Visuals SDK. Developers can use web technologies like HTML, CSS, and JavaScript to build custom visuals that extend the capabilities of Power BI beyond the built-in visualizations.

7. What are the benefits of using Power BI with Azure services?

Integrating Power BI with Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Analysis Services enables seamless data integration, advanced analytics, and scalable data storage and processing capabilities.

8. Explain the difference between Power BI Pro and Power BI Premium licenses.

Power BI Pro licenses are intended for individual users and provide access to most Power BI features. Power BI Premium licenses are for organizations and offer dedicated capacity, enhanced performance, and additional features like paginated reports and AI capabilities.

9. How can you implement row-level security in Power BI using DAX?

Row-level security in Power BI can be implemented using DAX expressions within roles. By defining roles and associating DAX filters, you can restrict data access based on user roles or attributes.

10. What are the best practices for optimizing Power BI performance?

Best practices for optimizing Power BI performance include minimizing data model size, reducing the number of visuals per report page, optimizing DAX calculations, using direct query mode for large datasets, and leveraging Power BI Premium capacity for enhanced performance and scalability.

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