Stauff India Power BI Developer Interview Questions and Answers

Gave few tasks , completed and i think they used it for their projwct work lol

Q1. Secebario based, people sitting onsite doing timeoass, very insane
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Q1. What is power bi ?
Ans. 
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
• Power BI is a business analytics tool developed by Microsoft.

• It allows users to create interactive visualizations and reports.

• Users can connect to various data sources to gather insights.

• Power BI offers features like dashboards, data exploration, and data preparation.

• It is widely used for d...read more
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Q2. What are joins ?
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Joins are used to combine rows from two or more tables based on a related column between them.
• Joins are used in SQL to retrieve data from multiple tables based on a related column.

• Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RI...read more
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Q1. Can you provide a brief introduction and describe your most recent project?
Ans. 
Experienced Power BI Developer with a focus on data visualization and analytics in various industries.
• Led a project for a retail client to visualize sales data, improving decision-making processes.

• Utilized DAX to create complex measures for sales forecasting and trend analysis.

• Developed interactive dashboards that provided real-time insights into inventory levels.

• Collaborated with stakeholders to gather requirements an
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Q2. Scenario based Questions on joins
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Q3. What are the steps to create a dynamic one-year sales report using DAX?
Ans. 
Steps to create a dynamic one-year sales report in Power BI using DAX for effective data analysis.
• 1. Create a Date Table: Use DAX to generate a date table that spans the required date range. Example: 'Date = CALENDAR(MIN(Sales[OrderDate]), MAX(Sales[OrderDate]))'.

• 2. Establish Relationships: Ensure the Date table is related to the Sales table on the date field to enable filtering.

• 3. Create Measures: Define DAX measures ...read more
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Q4. What is a composite model?
Ans. 
A composite model in Power BI allows combining data from multiple sources, enabling flexible data modeling and analysis.
• Supports DirectQuery and Import modes simultaneously.

• Enables blending of data from different sources, like SQL Server and Excel.

• Allows for more complex data relationships and calculations.

• Example: Using a DirectQuery source for real-time data alongside imported historical data.
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Q5. What are the parameters used in Power Query?
Ans. 
Power Query uses parameters to enhance data transformation and filtering capabilities, allowing dynamic queries.
• Parameters can be created in Power Query to allow users to input values dynamically.

• They can be used to filter data, such as setting a date range for a report.

• Example: A parameter named 'StartDate' can be used to filter records from a data source.

• Parameters can also control the behavior of queries, like toggl
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Q6. What Is the All DAX function, and can you explain each with an example?
Ans. 
The ALL DAX function removes filters from a table or column, returning all rows for calculations.
• ALL(TableName): Returns all rows from the specified table. Example: ALL(Sales) returns all sales records.

• ALL(ColumnName): Returns all unique values from the specified column. Example: ALL(Sales[Product]) returns all products.

• ALLSELECTED(TableName): Returns all rows in a table while respecting filters applied in the report. ...read more
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Q7. What are the differences between Row Context and Filter Context in data analysis?
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Q8. What are the steps involved in implementing row-level security?
Ans. 
Implementing row-level security in Power BI involves defining roles and rules to restrict data access based on user identity.
• 1. Define Roles: Create roles in Power BI Desktop that represent different user groups, e.g., 'Sales Team'.

• 2. Set Filters: Apply DAX filters to restrict data access, e.g., [Region] = USERNAME() for region-specific access.

• 3. Test Roles: Use the 'View as Role' feature to simulate user access and en...read more
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Q9. Questions on deployment pipeline
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Q10. What are the performance optimization techniques in Power BI?
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Q11. Some basic questions on Sql
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Q1. Introduce yourself
Ans. 
I am a Power BI Developer with 5 years of experience in creating interactive data visualizations and reports.
• 5 years of experience in Power BI development

• Proficient in creating interactive data visualizations

• Skilled in designing and developing reports

• Experience in data modeling and analysis

• Strong knowledge of DAX and M language
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Q2. Work experience
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Q1. Can you tell me about yourself?
Ans. 
I am a Power BI Developer with 5 years of experience in creating interactive data visualizations and reports.
• Experienced in developing Power BI reports and dashboards

• Proficient in data modeling and DAX calculations

• Skilled in transforming raw data into meaningful insights

• Familiar with SQL and other data sources

• Strong analytical and problem-solving skills
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Q2. What knowledge would you like to assess?
Ans. 
I would like to assess the candidate's knowledge of Power BI tools, DAX formulas, data modeling, and visualization techniques.
• Power BI tools such as Power Query, Power Pivot, and Power View

• DAX formulas for creating calculated columns and measures

• Data modeling techniques for creating relationships between tables

• Visualization techniques for creating interactive reports and dashboards
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Q1. What is parameters in powerbi
Ans. 
Parameters in Power BI are user-defined values that can be used to dynamically change the behavior of a report or dashboard.
• Parameters allow users to input values that can be used to filter data, change calculations, or modify visuals in Power BI.

• They provide flexibility and interactivity to reports, allowing users to customize their view based on their needs.

• Parameters can be used in various scenarios, such as filteri...read more
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Q1. What is pipeline in data engineering
Ans. 
A pipeline in data engineering is a sequence of data processing steps that transform raw data into a usable format.
• A pipeline is a set of interconnected data processing components.

• It involves extracting, transforming, and loading (ETL) data.

• Pipelines can be used for data integration, data migration, or data transformation tasks.

• They ensure data quality, consistency, and reliability.

• Examples of data engineering pipeline...read more
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