1. [Asked in Cognizant] Can you briefly explain the workflow of creating a report in Power BI?
Answer:
Creating a report in Power BI follows a simple workflow:
2. [Asked in Infosys] What is the first step you take when starting a new Power BI project?
Answer:
The first step is always understanding the business requirements. Clearly identify what the stakeholders need, the key metrics (KPIs) to track, and the types of insights expected from the data.
3. [Asked in TCS] Why is data transformation important in the Power BI workflow?
Answer:
Data transformation ensures your data is accurate, consistent, and structured properly for analysis. It helps in removing duplicates, correcting errors, merging data from different sources, and making data ready for creating clear visualizations.
4. [Asked in Wipro] What is Data Modeling in Power BI workflow?
Answer:
Data modeling in Power BI means creating relationships between different data tables. This helps Power BI understand how tables connect, enabling accurate and efficient data analysis and visualization.
5. [Asked in Deloitte] Can you explain the role of Power Query in the Power BI workflow?
Answer:
Power Query helps users clean and prepare data before visualization. It allows users to:
6. [Asked in Accenture] After publishing a report to Power BI Service, what is the next step typically?
Answer:
Once published, the next step is to set up sharing permissions and security. You can share reports or dashboards with your team, set up scheduled data refreshes, and create alerts for key metrics.
7. [Asked in Amazon] How often can you refresh data in the Power BI workflow?
Answer:
In Power BI Service, scheduled refreshes can typically be done up to 8 times daily with Power BI Pro and up to 48 times with Power BI Premium. Real-time or streaming datasets allow continuous updates.
8. [Asked in IBM] What is the difference between a report and a dashboard in the Power BI workflow?
Answer:
9. [Asked in Microsoft] Why is it important to verify data quality during the Power BI workflow?
Answer:
Verifying data quality ensures reports and dashboards are reliable and accurate. Poor data quality can mislead decision-makers, resulting in wrong decisions or missed opportunities.
10. [Asked in Google] What tools or techniques do you use for effective storytelling in Power BI workflow?
Answer:
Effective storytelling in Power BI involves: