As Power BI becomes more crucial in the area of data analysis and business intelligence, the need for individuals who are proficient in this powerful technological field has been increased. Companies depend on Power BI for data visualization, insights, and effective decision-making, thus it’s critical to be prepared for Power BI interview questions & answers for it. In this blog, we’ll cover everything you need to know from basic to advanced features to help you to be one step forward from others during your interview and reserve your position in that job.
What is Power BI
Power BI is a business intelligence tool which is developed by Microsoft that allows users to visualize data and share insights across business or integrate them in websites and apps. It helps businesses to convert raw data into quick understandable visuals, making it simple and easy to understand trends, patterns, and insights.
Frequently Asked Power BI Interview Questions
- What is Power BI, and why is it required?
- What are the main components of PowerBI?
- Differnenciate between PowerBI & Tableau software
- What is Data Modeling in Power BI?
- What is Data Analysis Expressions (DAX) and Its advantages
- Differentiate Between Calculated Columns and Measures?
- What is Power Query?
- How Do You Optimize Power BI Reports for Better Performance?
- What are Custom Visuals in Power BI?
- What are Filters in Power BI?
Beginner Level Interview Questions
- What exactly is Power BI software?
Power BI is developed by MicrosoftI,Power BI is a business analytics application that enables users to see and share data insights throughout a business. It contains tools for data preparation, eye-catching dashboards, and advanced analytics.
- What are the basic components of Power BI?
The main components of Power BI are: Power BI Desktop, Power BI Mobile, Power BI Service, Power BI Report server
- What is Data analysis expression in Power BI?
Analysis Expressions is a mathematical language used in Power BI for analysis of data & customized computations. It is suitable for data modeling and analytics. And it is same as the Excel functions.
- What are visualizations in Power BI software?
Power BI visualizations consist of various graphical representations of data such as graphs, charts, tables, and maps, etc. They help customers to easily understand the data and make better data-driven decisions.
- How is Power BI software different from Excel?
Power BI is basically designed to handle huge data sets and give interactive, visually attractive results. Power BI, unlike Excel, interacts effortlessly with a variety of data sources and features extensive data transformation and visualization capabilities.
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Intermediate Level Interview Questions
- Differentiate between Power BI & Tableau.
Both Power BI & Tableau are the data analytics and visualization tools. And, there are a few important differences among them.
| TABLEAU | POWER BI |
|---|---|
| Tableau utilizes MDX for measurements and dimensions | Power BI uses DAX for calculating measures |
| Tableau can handle massive quantities of data | Power BI is qualified only to handle a Limited amount of data |
| Tableau is best suitable for experts | Power BI is suitable for the both, experts /7 beginners |
| The interface of Tableau is complicated | The interface of Power BI is simpler |
| Tableau can easily support the cloud. | Power BI finds it complicated since its ability to handle massive amounts of data is restricted. |
- Differenciate between Power Query and Power Pivot.
Power Query: Basically, Power query is used for data manipulation and extraction and loading. It enables users to clean, restructure, as well as to connect with many data sources before importing them into the Power BI model.
Power Pivot: Power Pivot is an important tool for generating data models & linkages between the tables in Power BI, as well as DAX computations.
- Name the Dax functions which are used in Power BI ?
SUM, AVG, MIN & MAX: They are the basic aggregating functions.
CALCULATE: It adjusts the context.
IF: Conditional logic for calculating based on certain criteria.
RELATED: Gets related values from the other table.
DATEADD and DATESYTD: They both are time intelligence functions for date-bases.
- How can power BI manage and handle data security?
Power BI has Row-Level Security, which limits data access depending on user role. RLS may be enabled in Power BI Desktop and uploaded to the Power BI Service to control who can see particular data segments within a report.
- What are Power BI’s measures and calculated columns?
Measures: Calculations or aggregations reviewed in real time based on the report’s criteria. They are basically employed for dynamic data analysis.
Calculated Columns: Fixed computations that generate new columns using data from other columns. They are not totally dependent on filters and are usually used for static and dynamic data processing.
- What is the motive of relationships in Power BI?
Basically, the relationships connect various tables in Power BI software, enabling users to merge data from various sources into a single report. They aid in the creation of connections across tables, enabling smooth refering and correct computations in visualizations.
Advanced Level Interview Questions
- Explain the use of the CALCULATE feature in DAX?
The CALCULATE feature is one of DAX’s most powerful and important functions. It allows users to customize and modify the filter context while doing computations. It changes the environment in which data is examined by utilizing certain filters.
- What’s the difference between ALLEXCEPT and ALL in DAX?
The main difference between ALLEXCPT and ALL in DAX are
| ALLEXCEPT | DAX |
| Removes all filters except for the specified columns, retaining context for those specific columns only. | Removes all the filters from a specified column or table, restoring the original context. |
- What is the Composite Model in Power BI, and why is it useful?
Composite Models enable users to combine DirectQuery and Import mode in a single report, providing real-time and batch data access. This is especially beneficial in cases when certain data demands real-time access.
- What are the best practices for optimizing the Power BI reports?
Here are some of the best practices for optimizing the Power BI reports:
Limit the quantity of visuals, Use aggregations, Apply appropriate data, Reduce data model size, Enable data compression
- Describe how incremental data refresh works in Power BI.
Incremental data refresh in Power BI loads just new or updated data rather than the whole dataset each time, saving processing time and resources. It’s very useful for huge datasets.
- What are Power BI Dataflows, and how are they operated?
Dataflows in Power BI are a collection of tables which are created and managed in the Power BI Service that allow users to clean, convert and manipulate data by their own from datasets and reports. Dataflows leverage Power Query to provide cloud-based ETL workflows.
Explore: Learn Power BI now!
Conclusion
Power BI Design and Features might be your next important step towards mastering data analytics. Enroll in Power BI Certification course to master it & become a certified expert.
FAQ’s
DAX is defined as Data Analysis Expressions, it is a mathematical language used in Power BI, Power Pivot, and Analysis Services to do data analysis and computations. It enables users to do custom calculations on data models, leading to deeper insights and advanced analytics in Power BI reports and dashboards.
Yes, Power BI can store data, primarily when using Import Mode, which saves a copy of the data within the report file. In Direct Query and Live Connection Modes, data is not stored in Power BI
There are several types of filters in power BI, they are: Visual filters, Page filters, Report filters, Slicers, Drill-through filters, Cross-filtering
