Techloons

What is Power BI, and why is it used?

Power BI is a business intelligence tool developed by Microsoft that allows users to visualize and analyze data through interactive dashboards and reports. It is used to transform raw data into meaningful insights, enabling data-driven decision-making. Key features include data modeling, visualization, and sharing capabilities.

What are the main components of Power BI?

Answer: The main components of Power BI are:

• Power BI Desktop: A free application for creating reports and dashboards.
• Power BI Service: An online SaaS platform for sharing and collaborating on reports.
• Power BI Mobile: Apps for viewing reports on mobile devices.
• Power BI Report Server: An on-premises solution for hosting and sharing reports.
• Power Query: Used for data transformation and cleaning.
• Power Pivot: For data modeling and calculations.
• DAX (Data Analysis Expressions): A formula language for creating calculations.

What is Power Query, and how is it used in Power BI?

Power Query is a data transformation and preparation tool in Power BI. It allows users to connect to various data sources, clean, transform, and shape data before loading it into Power BI for analysis. Common tasks include removing duplicates, filtering rows, merging tables, and creating new columns.

What is DAX, and why is it important in Power BI?

DAX (Data Analysis Expressions) is a formula language used in Power BI to create calculated columns, measures, and tables. It is important because it enables advanced calculations and aggregations, such as summing values, calculating averages, or creating complex logic for data analysis. Example: Total Sales = SUM(Sales[Amount]).

What is the difference between a calculated column and a measure in Power BI?

• Calculated Column: Created in the data model using DAX, it adds a new column to a table with values calculated row by row. Example: Profit = Sales[Revenue] – Sales[Cost].
• Measure: A dynamic calculation that aggregates data, typically used in visuals like charts or tables. Measures are calculated at query time. Example: Total Revenue = SUM(Sales[Revenue]).
• Key Difference: Calculated columns store data in the model, while measures are calculated on-the-fly and do not store data.

What are the different types of filters in Power BI?

• Power BI offers several types of filters:
• Page-Level Filters: Applied to all visuals on a specific report page.
• Report-Level Filters: Applied to all pages in a report.
• Visual-Level Filters: Applied to a single visual.
• Slicer: An interactive filter that allows users to select specific values.
• Drillthrough Filters: Allow users to focus on specific data points by drilling into details.

How do you connect Power BI to a data source?

• To connect Power BI to a data source:
• Open Power BI Desktop.
• Click on Get Data from the Home tab.
• Select the desired data source (e.g., Excel, SQL Server, SharePoint, Web, etc.).
• Provide the necessary credentials or file path.
• Load or transform the data using Power Query, then import it into Power BI for analysis.

What is the difference between DirectQuery and Import mode in Power BI?

• Import Mode: Data is imported into Power BI’s memory, allowing faster performance but requiring periodic refreshes. Suitable for smaller datasets.
• DirectQuery: Power BI queries the data source in real-time without storing data locally. It is slower but ideal for large datasets or real-time data requirements.
• Key Difference: Import mode stores data, while DirectQuery relies on live connections.

What are Power BI visuals, and how can you create a custom visual?

Power BI visuals are graphical representations of data, such as charts, tables, maps, or cards. They help users interpret data easily.

To create a custom visual:

• Use Power BI’s developer tools, such as the Power BI Visuals SDK.
• Write code in TypeScript or JavaScript to define the visual’s logic and appearance.
• Package the visual using the Power BI command-line tools.
• Import the custom visual into Power BI Desktop for use.

What is a slicer in Power BI, and how does it work?

A slicer is an interactive visual filter in Power BI that allows users to filter data on a report page by selecting specific values (e.g., a year, region, or product). It works by dynamically updating visuals based on the user’s selection. For example, selecting “2024” in a slicer will filter all visuals to show data for 2024 only.

What is the role of relationships in Power BI?

Relationships in Power BI define how tables in the data model are connected, enabling accurate data analysis across multiple tables. They are typically based on a common column (e.g., a primary key like CustomerID). Relationships can be one-to-one, one-to-many, or many-to-many and are managed in the Model view of Power BI Desktop.

How do you refresh data in Power BI?

• Data in Power BI can be refreshed in the following ways:
• Manual Refresh: In Power BI Desktop, click Refresh in the Home tab to update data from the source.
• Scheduled Refresh: In Power BI Service, configure a scheduled refresh by setting up a data gateway (for on-premises data) and defining a refresh schedule.
• Automatic Refresh: For DirectQuery mode, data is automatically queried from the source in real-time.

What is a Power BI dashboard, and how is it different from a report?

• Power BI Dashboard: A single-page collection of visuals pinned from multiple reports, designed for high-level insights and sharing in Power BI Service.
• Power BI Report: A multi-page, detailed, and interactive set of visuals created in Power BI Desktop or Service, focusing on in-depth analysis.
• Key Difference: Dashboards are for quick insights and summaries, while reports are for detailed exploration.

What is the Power BI Gateway, and when is it used?

A Power BI Gateway is a software tool that connects Power BI Service to on-premises data sources (e.g., SQL Server, Excel files). It is used when data resides on local servers and needs to be refreshed in Power BI Service. The gateway ensures secure data transfer between on-premises sources and the cloud.

Can you name some common DAX functions used in Power BI?

Common DAX functions include:

• SUM: Calculates the sum of a column (e.g., SUM(Sales[Amount])).
• AVERAGE: Computes the average of a column.
• COUNT: Counts non-blank values in a column.
• FILTER: Filters a table based on a condition.
• CALCULATE: Modifies the context of a calculation (e.g., CALCULATE(SUM(Sales[Amount]), Sales[Year] = 2024)).
• RELATED: Retrieves data from a related table.