Today's Interview Questions for Power BI Developer Role: 1st Round 1. Self Introduction 2. What are your roles and responsibilities of your project? 3. Difference between Import Mode and Direct Mode? 4. What kind of projects have you worked on? Explain them and describe how you contributed? 5. How do you handle complex data transformations in Power Query? Can you provide an example of a challenging transformation you implemented? 6. Can you explain how to use R or Python scripts within Power BI, and provide a scenario where you implemented this? 7. Types of Refreshes in Power BI? 8. What is DAX in Power BI? 9. How do you perform data cleansing and transformation in Power BI? 10. How do you connect to data sources in Power BI? 11. What are the components in Power BI? 12. What is Power Pivot will do in Power BI? 13. Write a query to fetch top 5 employees having highest salary? 14. Write a query to find 2nd highest salary from employee table? 15. Difference between Rank function & Dense Rank function in SQL? 16. Difference between Power BI Desktop & Power BI Service? 17. How will you optimize Power BI reports? 18. What are the difficulties you have faced when doing a projects? 19. How can you optimize a SQL query? 20. What is Indexes? 21. How ETL process happen in Power BI? 22. What is difference between Star schema & Snowflake schema and how will know when to use which schemas respectively? 23. How will you perform filtering & it's types? 24. What is Bookmarks? 25. Difference between Drilldown and Drill through in Power BI? 26. Difference between Calculated column and measure? 27. Difference between Slicer and Filter? #Powerbi #DataAnalytics #intervewquestions

Today's Interview Questions for Power BI Developer Role: 1st Round 1. Self Introduction 2. What are your roles and responsibilities of your project? 3. Difference between Import Mode and Direct Mode? 4. What kind of projects have you worked on? Explain them and describe how you contributed? 5. How do you handle complex data transformations in Power Query? Can you provide an example of a challenging transformation you implemented? 6. Can you explain how to use R or Python scripts within Power BI, and provide a scenario where you implemented this? 7. Types of Refreshes in Power BI? 8. What is DAX in Power BI? 9. How do you perform data cleansing and transformation in Power BI? 10. How do you connect to data sources in Power BI? 11. What are the components in Power BI? 12. What is Power Pivot will do in Power BI? 13. Write a query to fetch top 5 employees having highest salary? 14. Write a query to find 2nd highest salary from employee table? 15. Difference between Rank function & Dense Rank function in SQL? 16. Difference between Power BI Desktop & Power BI Service? 17. How will you optimize Power BI reports? 18. What are the difficulties you have faced when doing a projects? 19. How can you optimize a SQL query? 20. What is Indexes? 21. How ETL process happen in Power BI? 22. What is difference between Star schema & Snowflake schema and how will know when to use which schemas respectively? 23. How will you perform filtering & it's types? 24. What is Bookmarks? 25. Difference between Drilldown and Drill through in Power BI? 26. Difference between Calculated column and measure? 27. Difference between Slicer and Filter? #Powerbi #DataAnalytics #intervewquestions

Today's Interview Questions for Power BI Developer Role: 1st Round 1. Self Introduction 2. What are your roles and responsibilities of your project? 3. Difference between Import Mode and Direct Mode? 4. What kind of projects have you worked on? Explain them and describe how you contributed? 5. How do you handle complex data transformations in Power Query? Can you provide an example of a challenging transformation you implemented? 6. Can you explain how to use R or Python scripts within Power BI, and provide a scenario where you implemented this? 7. Types of Refreshes in Power BI? 8. What is DAX in Power BI? 9. How do you perform data cleansing and transformation in Power BI? 10. How do you connect to data sources in Power BI? 11. What are the components in Power BI? 12. What is Power Pivot will do in Power BI? 13. Write a query to fetch top 5 employees having highest salary? 14. Write a query to find 2nd highest salary from employee table? 15. Difference between Rank function & Dense Rank function in SQL? 16. Difference between Power BI Desktop & Power BI Service? 17. How will you optimize Power BI reports? 18. What are the difficulties you have faced when doing a projects? 19. How can you optimize a SQL query? 20. What is Indexes? 21. How ETL process happen in Power BI? 22. What is difference between Star schema & Snowflake schema and how will know when to use which schemas respectively? 23. How will you perform filtering & it's types? 24. What is Bookmarks? 25. Difference between Drilldown and Drill through in Power BI? 26. Difference between Calculated column and measure? 27. Difference between Slicer and Filter? #Powerbi #DataAnalytics #intervewquestions

Power BI interview questions for entry-level Data analyst role: - (Easy-Medium) 1. What is Power BI, and how does it fit into the data analysis workflow? 2. Difference between Power BI Desktop and Power BI Service? 3. How to import data into Power BI? What are the various data sources supported? 4. Explain the process of transforming data in Power BI. Which tools or features would you use for data cleaning? 5. What is data modeling in Power BI, and why is it important? 6. How would you create relationships between different tables in Power BI? 7. Explain cardinality and its significance? 8. Describe the steps to create a basic report/dashboard in Power BI? 9. What are best practices for creating effective visualizations in Power BI? 10. What is DAX, and why is it used in Power BI? 11. DAX formulas to calculate a new measure or column? 12. How does data refresh work in Power BI? What options are available for scheduling data refreshes? 13. Process of publishing a Power BI report to the Power BI service? 14. If a Power BI report is loading slowly, what steps would you take to identify and rectify the issue? 15. How do you optimize Power BI reports for better performance? ✅ Very soon exclusive POWER BI BOOTCAMP (With Quality Industry - level projects) is Launching with limited seats only 👇 If this excites you then share your details in SLOT QUEUE 👉 POWER BI BootCAMP SLOT QUEUE : https://lnkd.in/gapd2BKz Cheers - Grow Data Skills 😊 Happy Learning!! #bigdata #teaching #python #sql #powerbi #excel #statistics #placements #job #success #growth #datascientist #edtech #interviewpreparation #dataanalytics

Power BI interview Quiz for entry level data analyst job 1.What is power BI and does it fit in data analytics workflow? 2. Difference between Power BI Desktop and Power BI Service? 3.How to import data into power BI? What are data sources supported? 4. Explain the process of transforming data in power BI ? Which tool or feature will you use for Data cleaning? 5. What is data modelling in power BI and why is it important? 6. How would you create relationship between different tables in power BI? 7. Explain the Cardinality and its significance ? 8. Describe the steps to create basic report in power BI? 9. What are the best practices for creating effective visualization in power BI? 10.What is DAX and why is it used in power BI? 11. Process of publishing report to the power BI Service? 12.How do you Optimize Power BI report for better performance? #data #datanalyst #dataengineering #datascientist

Practical interview questions for an entry-level data analyst role in #Power_BI: along with answers ! 1. Data Import Scenario: Given a set of data in different formats (e.g., Excel, CSV, SQL Server), how would you import this data into Power BI? ➡️ Open Power BI: Start the Power BI Desktop application. ➡️ Get Data: Click on the "Get Data" button on the Home tab. ➡️ Choose Data Source: Select "Excel", "Text/CSV", or "SQL Server". ➡️ For Excel: Find and open the Excel file. ➡️ For CSV: Find and open the CSV file. ➡️ For SQL Server: Enter the server name and database name, then click "OK". ➡️ Load Data: Click "Load" to import the data, then create visual reports and dashboards. 2. Data Cleaning Exercise: You have a dataset with missing values and inconsistent formats. What steps would you take in Power BI to clean this data? ➡️ Open Power BI: Start the Power BI Desktop application. ➡️ Load Your Data: Import your dataset into Power BI using the "Get Data" button. ➡️ Open Power Query Editor: Click on "Transform Data" to open the Power Query Editor. ➡️ Remove Missing Values: Use the "Remove Rows" option to eliminate rows with missing values. ➡️ Fix Inconsistent Formats: Use "Transform" tab options like "Data Type" to ensure consistency (e.g., text, number, date). ➡️ Replace Values: Use the "Replace Values" option to fix inconsistencies, such as different spellings or formats. ➡️ Apply Changes: Click "Close & Apply" to save and apply the cleaned data to your Power BI report. 👉𝐉𝐨𝐛&𝐃𝐚𝐭𝐚 𝐫𝐞𝐟𝐞𝐫𝐫𝐚𝐥 ✅:https://lnkd.in/gcw-ziZm MADHU THANGELLA connect with me for more updates ! #DataCleaning #PowerBI #DataQuality #DataTransformation #DataPreparation #PowerQuery

In many interviews, I've noticed a trend: candidates excel at answering Power BI questions but struggle with fundamental SQL queries. It’s crucial to recognize that in the real world, very few projects revolve solely around Power BI and Excel. If you're pursuing a Power BI Developer role, there's a 95% chance your project will involve SQL. Power BI and SQL are not just tools; they’re powerful allies. Understanding how to leverage both can set you apart from the competition. The synergy of these tools means that 1 + 1 > 2! Combining SQL with Power BI offers several advantages that enhance data analysis and visualization capabilities: 𝟭. 𝗗𝗮𝘁𝗮 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗮𝗻𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: SQL is excellent for querying and managing large datasets. You can efficiently retrieve, filter, and aggregate data before it’s imported into Power BI, ensuring that the reports are based on precise and relevant information. 𝟮. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: With SQL, you can create complex data models and relationships. This allows for more sophisticated calculations and metrics in Power BI, enhancing your analytical capabilities. 𝟯. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: By using SQL to pre-process and aggregate data, you can significantly reduce the amount of data Power BI needs to handle. This can improve performance and responsiveness in your reports. 𝟰. 𝗗𝗮𝘁𝗮 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: SQL can be used for data cleansing and transformation, ensuring that the data you load into Power BI is accurate and well-structured, which is crucial for effective analysis. 𝟱. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: SQL allows for custom queries tailored to specific business needs, enabling more flexible reporting in Power BI. You can create views and stored procedures in SQL that Power BI can consume directly. 𝟲. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗣𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀: SQL databases often have robust security features. By managing access and permissions at the SQL level, you can control who sees what data in Power BI. 𝟳. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: As data volume grows, SQL databases can handle larger datasets effectively. Power BI can then connect to these databases, maintaining performance and usability. 𝟴. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Power BI easily integrates with SQL databases, allowing seamless data connections and real-time data updates, which can help in creating live dashboards. #DataAnalytics #DataScience #Data #Analysis #SQL #PowerBI #CareerGrowth #ProfessionalDevelopment #DataEngineering

Hello Connections, I have been watching lots of posts from job seekers on LinkedIn, looking for Power BI developer roles. Let's break down the possibility of getting the job now. Power BI is the easiest to learn in terms of its functions and data modelling, as compared to another most popular visualization tool 'Tableau'. So there is much more competition than any other field for Power BI developer role because it's easy, this is the fact. If you spend more than a month then you will understand DAX too and after a couple of months' practice you will start creating complex measures. I personally prefer Power BI for all these reasons. In order to stand out, you will have to be outstanding in terms of design, data modelling, business logic and utilizing its features to fullest. We can find many such creative posts on LinkedIn. Or Add more skills to your profile, Python and SQL are must, Power BI or Tableau are good to have, if you want to grow as Data analyst. Feel free to add your thoughts. #powerbideveloper #powerbi #powerbijobs

#𝐈𝐁𝐌 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 1. How can you create and configure a data gateway in Power BI? 2. Explain the process of creating a dynamic tooltip in Power BI. 3. How does Power BI handle real-time data streaming, and what are its use cases? 4. What are the different types of data relationships in Power BI? 5. Describe the purpose and usage of Power BI Premium. 6. How do you create a sunburst chart in Power BI? 7. What are the differences between a line chart and an area chart in Power BI? 8. Explain the concept of Data Analysis Expressions (DAX) in Power BI. 9. What is the significance of the "Drillthrough" feature in Power BI? #Capgemini Power BI Interview Questions 1. How do you implement row-level security (RLS) in Power BI? 2. What are the best practices for designing a Power BI dashboard? 3. Can you explain the Power BI report lifecycle? 4. How does Power BI handle data refresh and scheduling? 5. What is the role of the Query Editor in Power BI? 6. How do you create a funnel chart in Power BI? 7. What is the difference between a measure and a KPI in Power BI? 8. Explain the concept of hierarchical slicers in Power BI. 9. How do you use bookmarks in Power BI to enhance report interactivity? #Deloitte Power BI Interview Questions 1. How can you configure and use custom visuals in Power BI? 2. What techniques can be employed to improve query performance in Power BI? 3. Describe the integration capabilities of Power BI with other Microsoft services. 4. What is the difference between Import mode and DirectQuery mode in Power BI? 5. How do you create a pareto chart in Power BI? 6. What are the advantages of using Power BI templates? 7. Explain the concept of dataflows in Power BI. 8. What is the purpose of the "Merge Queries" feature in Power BI, and how is it used? 9. How do you create and manage data alerts in Power BI? best interview resources to crack Power BI Interviews 👇👇 https://lnkd.in/gbvhuDf2 Follow Prem Mandal For More #powerbi #datanalyst #powerbideveloper #python #dataanalytics #data #DataAnalytics #Free #LearnFromHome #ExperienceMatters #DigitalLearning #IndustryGiants #meriskill #interncareer #pwc #GE #KPMG #tata #tcs Shashank Singh 🇮🇳

Recently asked Power BI interview question How do you work with large datasets in Power BI? 𝐀𝐧𝐬𝐰𝐞𝐫: ➡ When dealing with large datasets in Power BI, the primary challenge is the size of the data, which can affect performance, making the report slow to load and refresh. ➡ Managing and visualizing such a vast amount of data requires efficient handling to avoid timeouts and performance degradation. ➡ One of the strategies I use is to upload a subset of the data into Power BI Desktop initially. For example, if I have data spanning five years, I might start by uploading only six months of data. This speeds up the development process on the desktop. ➡ Next, I use the Power Query Editor to filter and aggregate data. This includes removing unnecessary columns, filtering rows to include only relevant data, and aggregating data at a higher level. For instance, if detailed transaction data is not necessary, I might aggregate daily sales data to monthly sales data before loading it into Power BI. ➡ For extremely large datasets, I use DirectQuery mode, which allows Power BI to directly query the underlying data source without importing the data into the Power BI model. ➡ This keeps the Power BI model lightweight and leverages the processing power of the database server. However, this requires a well-optimized database and efficient query performance at the source. ➡ Sometimes, I use a combination of Import and DirectQuery modes, known as composite models. This approach allows for flexibility by importing critical, smaller tables into the Power BI model and using DirectQuery for larger fact tables. ➡ I ensure that the data model is optimized by creating appropriate relationships and using measures efficiently. ➡ Reducing the complexity of DAX calculations and ensuring that the model only includes necessary tables and relationships helps maintain performance. By employing these strategies, I can manage large datasets efficiently, ensuring that my Power BI reports are responsive and performant. I am sharing real interview questions asked in companies nowadays to help you prepare more practically for interviews. Follow Vaibhav for more such posts. PS: If you have any other ideas on this, please comment. It will help others prepare for similar questions. #powerbi #sql #dataanalyst #microsoft #python #dax #visualization #bi #excel #powerbiservice