Micolinks Services Power BI Developer Interview Questions and Answers

Q1. Can you please explain previous experience?
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Q2. Can you explain about import model ?
Ans. 
Import model is a Power BI feature that allows you to import data from various sources and create a data model.
• Import model is used to create a data model in Power BI.

• It allows you to import data from various sources such as Excel, CSV, SQL Server, etc.

• You can create relationships between tables, add calculated columns, and measures.

• Import model is useful when you have large amounts of data that need to be transformed ...read more
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Q1. ROW LEVEL SECURITY
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Q2. SUM, SUMIF SUMIFS AND DELETE TRUNCATE
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Q1. Difference Between direct query mode and import mode
Ans. 
Direct query mode connects to data source in real-time, while import mode loads data into Power BI for faster analysis.
• Direct query mode connects to data source in real-time, providing up-to-date data

• Import mode loads data into Power BI for faster analysis, but may not always reflect real-time changes

• Direct query mode is suitable for large datasets that require real-time updates

• Import mode is suitable for smaller datas
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Q2. Define powerBI in layman poin of view
Ans. 
PowerBI is a data visualization tool that helps users analyze and visualize data to make informed business decisions.
• PowerBI helps in creating interactive reports and dashboards

• It allows users to connect to various data sources like Excel, SQL databases, and cloud services

• Users can create custom visualizations and share insights with others

• PowerBI can be used for data exploration, data modeling, and data storytelling
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Q1. How the end user access the report
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End users can access the report through Power BI Service, Power BI Mobile App, or embedded in other applications.
• End users can access the report through Power BI Service by logging in with their credentials

• End users can also access the report through Power BI Mobile App on their smartphones or tablets

• Reports can be embedded in other applications using Power BI Embedded feature
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Q1. How many filters in power bi
Ans. 
There are multiple types of filters in Power BI including visual, page, report, and drill-through filters.
• Visual filters apply to a specific visual or group of visuals.

• Page filters apply to all visuals on a specific page.

• Report filters apply to all visuals on all pages of a report.

• Drill-through filters allow users to navigate to a different report page based on a selected data point.
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Q2. There are three filters
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The three filters can be applied to the data in Power BI to narrow down the results.
• Filters can be applied to specific columns or measures in the data

• Filters can be used to show only certain values or ranges of values

• Filters can be combined to create more complex filtering logic
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Q1. How many connectivity modes
Ans. 
There are three connectivity modes in Power BI: Import, DirectQuery, and Live Connection.
• Import mode: Data is imported into Power BI and stored in a dataset.

• DirectQuery mode: Data stays in the data source and queries are sent directly to the source.

• Live Connection mode: Power BI connects directly to the data source for real-time data access.
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It was a real-time scenario that they asked about.

Q1. Explain your overall experience.
Ans. 
I have 5 years of experience as a Power BI Developer.
• Developed interactive dashboards and reports using Power BI

• Created data models and performed data analysis

• Worked with various data sources such as SQL Server, Excel, and SharePoint

• Implemented data transformations and data cleansing

• Collaborated with business stakeholders to gather requirements and provide insights

• Optimized performance and improved data visualization

• Tr...read more
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Q2. Explain your recent experience.
Ans. 
I have recently worked as a Power BI Developer, creating interactive dashboards and reports.
• Developed interactive dashboards and reports using Power BI

• Gathered requirements from stakeholders and translated them into data visualizations

• Created data models and implemented data transformations

• Collaborated with cross-functional teams to ensure data accuracy and consistency

• Provided training and support to end-users for effe
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