Power Bi interview question

IBM

1.How do you import data into Power BI?

What are measures and calculated columns in Power BI, and when would you use each?

2.Explain the concept of relationships in Power BI.

3.Can you describe the process of creating a DAX formula?

4.How would you optimize a Power BI report for better performance?

5.What is Power Query, and how does it relate to Power BI?

6.Walk us through the steps to create a custom visualization in Power BI.

7.How can you share your Power BI reports with others, considering security and accessibility?

8.What is the difference between Power BI Desktop, Power BI Service, and Power BI Report Server?

9.Have you worked with Power BI data gateways? Explain their purpose.

TCS

1️ What is Power BI, and why is it important for business intelligence?

2️ Explain the key components of Power BI.

3️ How do you import data into Power BI?

4️ What are the differences between Power BI Desktop and Power BI Service?

5️ Can you create calculated columns and measures in Power BI? Explain the difference.

6️ What is DAX, and why is it essential in Power BI?

7️ How do you handle data transformation and cleaning in Power Query?

8️ What is the difference between a slicer and a filter in Power BI?

9️ How can you create custom visuals in Power BI?

What is the Power BI Gateway, and when would you use it?

Wipro

Question: "How would you design a Power BI dashboard to track and visualize key performance indicators (KPIs) for a global sales team?"

This question got me thinking about the power of Power BI in data visualization and analytics. It's not just about creating charts; it's about providing actionable insights for informed decision-making. Here's how I approached it:

1. Data Gathering: The first step is to gather data from various sources, like CRM systems and spreadsheets, and consolidate it in Power BI.

2. KPI Selection: Identify the specific KPIs that are critical for tracking sales performance. Examples might include revenue, conversion rates, and sales targets.

3. Data Modeling: Build a data model in Power BI to establish relationships between different data tables, ensuring accuracy and reliability.

4. Visualization: Create visually appealing and interactive dashboards using Power BI's rich visualization capabilities. Use charts, tables, and slicers to make the data easily understandable.

5.Filters and Drill-Downs: Implement filters and drill-down features to allow users to explore data at different levels of detail.

6.Scheduled Refresh: Set up automated data refresh to ensure the dashboard is always up-to-date.

7. Share and Collaborate: Publish the dashboard to Power BI Service, making it accessible to stakeholders. Collaborate with the team to gather feedback and make improvements.

8. Mobile-Friendly: Make sure the dashboard is responsive and accessible on mobile devices for on-the-go insights.

Tech mahindra

Question: Can you tell me about a significant project you've worked on that involved data analysis and visualization using Power BI

Ans. Certainly! When describing your Power BI project in a interview, you want to showcase your skills and demonstrate your ability to work on real-world data analysis and visualization tasks. Here's a step-by-step guide on how to describe your Power BI project:

Step 1: Provide an Overview

Start by giving a brief overview of the project. Mention the project's name, duration, and the organization or client you worked for. Highlight the project's significance and how it contributed to solving a business problem or achieving specific goals.

Step 2: Explain the Problem or Objective

Discuss the problem or objective that the project aimed to address. Explain why the project was initiated and what challenges or opportunities it presented. Be concise but clear in your description.

Step 3: Data Collection and Preparation

Describe the process of data collection and preparation. Mention the data sources you used, such as databases, spreadsheets, APIs, or other data repositories. Explain how you cleaned, transformed, and structured the data to make it suitable for analysis in Power BI.

Step 4: Data Modeling

Discuss how you designed the data model in Power BI. Explain the tables, relationships, and measures you created to support your analysis. Mention any calculated columns or DAX (Data Analysis Expressions) formulas you used to enhance the data model.

Step 5: Data Visualization

Highlight the data visualization aspect of your project. Talk about the types of visualizations you created using Power BI, such as charts, graphs, tables, and maps. Explain the rationale behind your visualization choices and how they conveyed insights effectively.

Step 6: Interactivity and User Experience

Describe any interactive features or user experience enhancements you implemented in the Power BI reports and dashboards. This could include slicers, filters, drill-through actions, bookmarks, and tooltips. Emphasize how these features improved the usability of the reports.

Step 7: Insights and Analysis

Share some of the key insights and findings you derived from the data analysis in Power BI. Discuss any patterns, trends, or anomalies you discovered and how these insights were valuable to the project's goals.

Step 8: Collaboration and Deployment

Explain how you collaborated with team members or stakeholders throughout the project's lifecycle. Mention the deployment process, whether you published reports to the Power BI service, shared them via Power BI apps, or used other methods to make the insights accessible.

Step 9: Results and Impact

Discuss the results achieved through the project.

Step 10: Challenges and Learning

Be honest about any challenges or obstacles you encountered during the project and how you overcame them.

HCL

1. Different between Distinct and unique

2. what is merge queries or what are joins in Power Bi and types of joins left outer,right outer,inner, left anti, right anti, full outer

3. Difference difference between merge and merge queries as new

4. Different scenarios in appending

5. Difference between append and append queries as new

Mott MacDonald

1) How To Change Storage Mode in Power BI?

2) What is Data Flow?

3) How to Calculate Cumulative sales for each week starting from Monday

4) What is the meaning of On-premise Gateway? And is it used for Share-point as well?

5) How to handle Many-to-Many Relationship?

6) What is Deployment pipeline?

7) What Custom tools you have used and why do you think it’s beneficial for customers?