The conventional thought of running after the data scientist job roles is now getting obsolete. The variable opportunities of data science and AI fields are now well-explored and such an exploration has made the ‘Business Intelligence Analyst’ a popular career option for data science aspirants. And amongst the huge heap of business intelligence tools, Power BI has reached the peak of demand in the last 2 to 3 years. Hence, while attending your first business intelligence analyst interview, you can expect 75% of your tools-related questions to come from this master tool. In this blog, I have come up with the top 15 Power BI interview questions for freshers/ holding working experience of 1 to 3 years candidates.
- Can you describe Power BI in brief?
- What idea do you have about self-service business intelligence?
- Can you tell me about two different types of Power BI services? And how do they differ from each other?
Power Bi is a complete package of tools that are used for end-to-end business analysis. It includes all types of required applications, features, techniques, and processes that a smart business analyst needs for making data-driven business decisions by analysing a vast number of raw data sources.
However, such a kind of business decision making needs expertise in data collection proficiency, data transformation, insight generation, and visualisation. From these perspectives, the Power BI tool can be tagged as the one-stop business analysis solution.
Apart from that, it can be described as a business communication tool too. Because the dashboard you create using these tools is highly interactive. As a result, one can share all the reports and insights with the collaborative groups and clients, via a few clicks.
As the name indicates, it’s a type of automated approach for carrying out several BI-related tasks such as data filtration, comprehensive data segmentation, best-fit visualisation effect identification, shareable report and dashboard creation. As already mentioned, it’s a kind of automated feature, so professionals with any core technical knowledge can also handle these tasks easily.
Self-service business intelligence helps a non-techie professional to handle core statistical analysis without any practical or conceptual hurdle. The only thing he needs is to master the Power BI tool handling.
Yes. Managed Enterprise and Self-service are the two different types of Power BI.
Although they often have almost similar features, they still hold a few significant variations.
- The data flow is quite unordered in managed enterprise concerning the data resources that companies use for data collection and ingestion because the data flow comes from the surplus of resources.
On the contrary, the data collection and ingestion is much ordered with Power BI. Besides, there lies no limitations about the data sources and the formats, making the entire data analysis process seamless and far more efficient.
- Handling data with managed enterprise demands for masterminds of programming, while AI-backed up Power BI offers ample opportunities to analyse data without applying any programming or coding knowledge.
- As collection and ingestion of data sources are not seamless in the case of managed enterprise BI, so adoption of such tools requires additional investments in outsourcing the data collection process to other vendors. This makes the data analytics process very costly.
In the case of Power BI, no core technical knowledge is required to gather and ingest such data, and everything is automated, so no more wastage of money on outsourcing.
Being cloud-based information announcing and perception instrument, Power BI makes it workable for clients to create reports on the web. Whenever reports are created, clients can impart them to their partners in their work environment. This part of Power BI makes it very mainstream among business clients. Such tools are in real demand in the current business world.
As I am from a non-technical background, I confess that lack of coding knowledge made my career transition limited to the basic level of data analysis. However, I have always loved to play with data, and Power BI provided me with the opportunity.
Furthermore, Power BI is both an intriguing and promising vocation alternative. That’s why I chose to make my career in Power BI. Although, as of now, I am targeting the entry-level position, but I am also passionate about diving deep into this master business intelligence tool.
I’ll highlight the five key features.
- The first one is its ‘question and answer box’ that offers an interactive insight generation from the data visualisation. You can even use voice commands just like Google assistance.
- It offers limitless scopes for customising your data visualisation as per your business needs. You can even change the axis data information if you need data manipulation to deal with more complex data sets.
- Its cross-platform national report and insight sharing option offers a better scope of clients and team collaboration.
- Data collection and analysis is not bound to sourced formats.
- It offers impressive scopes for an organisation based scaling with its in-built governance and tight security measures.
Yes, it’s an open-sourced business intelligence tool, but you will get one GB of data storage and limited access to its features under the free version. However, that’s enough for personal usage and even for a very small startup.
To avail the enhanced features of all the free tools and techniques, you can opt for the paid pro subscription available in the Microsoft store. The key benefits of the pro version include the expanded limits of data refreshers per day, which is essential for business organisations.
Power BI is associated with six major components.
- Power Pivot:
- Power BI Mobile:
- Power View:
- Power map:
- Power query:
- Power BI Desktop:
This is a similar tabular calculation feature that used to be popular in advanced excel. This offers efficient data modelling in tabular form through DAX. In addition, this component offers the scope of exploring the inter-relationship between the tables within the database under considerations.
This component offers seamless experiences of viewing and accessing the interactive dashboards on mobiles divides powered by both iOS and Android.
This is the ultimate Power of data visualisation offered by Power BI. The interactive display associated with this component helps in collecting and analysing metadata from several resources.
This component offers the geological analysis of data.
This is a query generation component, where you can create queries for data analysis, data filtering, data visualisation, and data cleaning. Power query offers easy integration with most popular database management systems like SQL, MySQL, MongoDB, etc. Hence importing data from multiple databases becomes so easy.
This combines the advanced versions of all the sub-components, like power view, query, pivot, reports, and map. This is a master tool for a developer for intelligent business analysis.
Yes. There are four key building blocks within the Power BI.
- Communicable Dashboards:
- Efficient Datasets:
- Eye-catchy Tiles:
- Insightful Visualisation:
- Comprehensive Reports:
It is a one-page summarised report containing different clickable sub-blocks called ’tiles.’ This summary page gets generated by analysing different available datasets.
This is the block that stores the data imported from different DBMS like Azure, JSON, SQL, Oracle, MongoDB, MySQL, etc.
Each of the tiles contains significant visualisation information of reports. This is the block that helps us to observe the key differences between multiple reports.
This block represents the insightful features of reports in terms of maps, graphs, and charts.
This is the multipage representation of the detailed report divided into several sub-parts along with an introduction and conclusion about the current business issues and their respective solutions.
Working datasets contain a huge amount of data, even after effective cleaning. So while working with such massive datasets, it’s very natural that you might get distracted by lots of irrelevant data.
General formatting helps segment the data as per your needs, and you can work with greater preciseness.
Yes. Writing back the data from Power BI to the database is possible by using the Power BI desktop’s import connectivity mode.
According to me, a radial gauge chart will be perfect for such a scenario. The rounded arc associated with the gauge chart can be set to represent the progress heading towards the pre-set KPI values, while a needle indicates the target value. So it becomes easier to visualise and gauge the performance.
I’ll highlight the following advantages.
- ETL- The power data recovery suits:
- Ample of options for customising visualisation:
- Multi-platform compatibility:
- Voice-based Q & A:
Going to the visual part is the final step of report generation. Before that, you need to make the data analysis precise and to the point. The ETL package provides a seamless experience for the step-by-step data analysis process, including ‘extraction’, ‘transformation’, and ‘loading’ of data from the database. You can even go with the option of generating reports directly from the database. If needed, you can write back the data from Power BI reports to the DBMS’s too.
What can be more lucrative than getting a power pack of data at a pocket-friendly deal? While other similar BI apps need a minimum monthly investment of about 5000 INR, you can subscribe to the pro version of Power BI at approx 728 INR per month.
Paying low does force you to compromise data visualisation. Rather, this tool offers ample scope for customisation related to data manipulation in regards to data visualisation.
Suppose you are worried about the incapability of assessing the insights and reports for external clients and vendors who are not using the same BI tools as your organisation. In that case, this tool can be your ultimate choice. Moreover, due to its multi-platform compatibility, the reports can be visible from other third-party reports and data visualisation applications.
Due to the NLP support, you can raise queries using voice service, just like Google assistance. So no matter how busy your hands are, still, you can continue your insight generation and report understanding at the same time.
Power BI can connect to the following data sources:
- Power BI Desktop file
- CSV files
- JSON files
- Excel files
- Google Analytics content packs
- SQL files
- MySQL files
- Azure SQL files, etc.
Three types of connectivity modes are associated with Power BI.
- Import Data Mode:
- Direct Query Mode
- Live Connection mode
Under this mode, before the generation of the report, the data gets imported from the source and gets stored inside the Power BI.
Reports get generated directly from the data resources, so no storage of data required in Power BI.
It is quite similar to the direct query mode, and the only difference is it requires a live connection with the data resource to visualise the insights.
Three types of refresh options.
- Tile Refresh
- Data Refresh
- Package Refresh
All tiles get updated At an interval of 15 minutes.
This is the timely synchronisation of Power BI data storage with the connected databases.
It’s associated with the data synchronising difference between Power BI components like desktop, Mobile, etc.
Where can you master this highly demanding BI tool?
If you want to learn the promising Business analytics of Power BI, join Learnbay Data science and AI certification courses. Our courses are effectively designed with all the BI tools and additional lessons on Power BI features that will help you to land a successful business intelligence analyst career. In addition, you’ll be prepared for a Power BI interview with multiple mock interviews that will contain the most trending power BI interview questions. To avail of impressive discounts on the course free, book a telephonic counselling session today. Visit Learnbay’s website for more information.
To get the latest updates about our course discounts, data science, AI, and ML related conceptual updates, tricks and tips, blogs, and articles, follow us on