The soaring demand for data visualization and data reporting has led to an exponential surge in the openings of Power BI jobs. Companies are in pursuit of specialists who can seamlessly deal with Power BI. To help individuals crack Power BI job interviews, we have prepared a set of the most frequently asked top 30 Power BI interview questions.
The limitations of Managed Enterprise BI led to the birth of Self-service BI. There are significant differences that separate them.
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Self-service BI or Self-service Business Intelligence (SSBI) is an approach to data analytics, reporting, and visualization that enables users to generate easy-to-understand, intuitive, and actionable dashboards, almost instantaneously. The most striking feature of SSBI is the fact that users are not required to be adept at technical expertise when it comes to data reporting. Using available filters and data manipulation options, they can influence data as per their business needs and further create reports. There are two parts to Microsoft SSBI:
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A cloud-based data reporting and visualization tool, Power BI makes it possible for users to generate reports online. Once reports are generated, users can share them with their colleagues in their workplace. This aspect of Power BI makes it quite popular among business users. And therefore, Power BI is both an interesting and promising career option.
Features of Power BI are many. The most notable ones are:
Well, users can use Power BI for free. However, the best of Power BI can be availed with the Power BI Pro subscription account. This can be purchased from the Microsoft Store. The subscription account basically offers an enhanced version of several features that are available with the Power BI free account. Most business users use a subscribed account as it offers more data refreshes per day and other features as compared to the free version.
Power BI brings in a lot of flexibility when it comes to data reporting and visualization. For this reason, the complete Power BI package has been divided into three versions. These versions allow all kinds of users to leverage the functionalities of Power BI to the fullest.
The versions are:
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Power BI Desktop is a Windows desktop-based application for personal computers, primarily for designing, generating, and publishing reports to the cloud. Used as an on-premise version of Power BI, Power BI Desktop can run on PCs and work full-fledged even when the system is not connected to the Internet. Just when users want to publish their reports to the cloud or share with colleagues, they are supposed to connect to the Internet. Power BI Desktop is basically the first application that users jump into when they board on Power BI.
There are five different components of Power BI.
When users click on the Get Data icon in Power BI, a drop-down menu appears and it shows all data sources from which data can be ingested. Data can actually be directly ingested from any source including files in Excel, CSV, XML, JSON, PDF, and SharePoint formats and databases such as SQL, Access, SQL Server Analysis Services, Oracle, IBM, MySQL, and much more. Also, Power BI datasets and Power BI data flows are compatible. Data can also be taken in from Azure and other online sources.
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Data can be filtered using various filters that are available in Power BI, implicitly. There are basically three types of filters, namely, Page-level filters, Drillthrough filters, and Report-level filters.
When data is ingested into Power BI, it is basically stored in Fact and Dimension tables.
Content packs are packaged reports, dashboards, and datasets, which can be shared with other Power BI users in the organization. When a content pack is connected on the Powerbi.com portal, report items are merged into workspace lists.
The most notable features of content packs are as follows:
There are three different views in Power BI, each of which serves a different purpose.
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Row-level security restricts the data that a user can view and has access to, based on filters. For configuring row-level security, users can define rules and roles in Power BI Desktop and publish the same to Power BI Service. Also, the username() function can be used alongside table relationships to restrict the data to the current user.
However, for enabling row-level security, a Power BI Pro subscription account is required, and Excel sheets can only be used when they are converted to the .pbix file format.
DAX or Data Analysis Expressions can be used to query and return data by a table expression. It is a formula language that is used to perform basic calculations and data analysis on the data in Power Pivot. Also, it is used to compute calculated columns, calculated fields, and measures. However, data cannot be inserted or modified using DAX.
Total Sales = SUM(Sales[SalesAmount])
Where ‘Total Sales’ is a ‘Measure’; ‘SUM’ is a ‘DAX Function’, and ‘Sales[SalesAmount]’ represents the referenced table and the referenced column name.
Benefits of using variables in DAX:
Bidirectional cross-filtering in Power BI Desktop allows data modelers to determine how they want filters to flow for data using relationships between tables. With bidirectional cross-filtering, the filter context is propagated to a second related table on the other side of a table relationship. This can help data modelers solve the many-to-many problem without writing complicated DAX formulas. Thus, bidirectional cross-filtering simplifies the job for data modelers.
If there are no null values or duplicate rows, relationships between tables can be defined in two ways:
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By using Power BI Query Editor, users can load data from a wider number of data sources and apply transformations on them, including adding new columns and measures.
Power BI Query Editor comprises four tabs:
Advanced Editor can be used to see the query that Power BI runs against data sources to import data.
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By formatting data, users can help Power BI categorize and identify data, making it much easier to work with.
Custom Column Formula:
= Table.AddColumn(#"Sorted Rows",
"DaysOrderToShip", each [ShipDate] -
The above code is the formula to create a custom column, which calculates the days from when an order was placed to when it got shipped.
The most common data shaping techniques are:
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The primary in-memory analytics engine behind Power Pivot is xVelocity. This engine handles large amounts of data as it stores data in columnar databases. In in-memory analytics, all data is loaded to RAM memory, and therefore processing speed is really fast.
A powerful and flexible new tool under Power BI umbrella, Power BI Designer empowers users to create intuitive reports and dashboards, easily and quickly, and also lets users change visual views of their data at fingertips for better analytics and informed decision-making. This designer is a host of drag-and-drop capabilities that help users place content exactly where they want it on the report canvas in a well-structured layout.
Yes, it is possible. Gateways can be used to do so.
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A gateway basically acts as a bridge between on-premise data sources and Azure Cloud Services.
Through map chart and filled map chart, Power BI makes it possible for users to visually map geographic data, both globally and regionally.
When we do that, data gets selected and copied to the clipboard. Further, the copied data can be pasted anywhere as per the requirement of the user.
Z-order is a design strategy that is used for arranging visuals over shapes. Also, z-order can be defined as an implementation method that can be applied when reports have multiple elements. Further, this can also be used to refresh the display after the order of items in a report is changed.
There is only one prerequisite for this. Before connecting to a database in Azure SQL Database, users should configure firewall settings to allow remote connections.
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