Infosys Data Migration Consultant Interview Questions and Answers

Q1. Wat is cardinality
Ans. 
Cardinality refers to the uniqueness of values in a column or relationship.
• Cardinality is the number of unique values in a column or relationship.

• High cardinality means a column has many unique values, while low cardinality means few unique values.

• For example, a column like 'Customer ID' may have high cardinality, while 'Gender' may have low cardinality.
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Q2. Challenges faced
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Q1. Write SQL query
Ans. 
SQL query to retrieve data from a table
• Use SELECT statement to specify columns to retrieve

• Use FROM statement to specify the table to retrieve data from

• Use WHERE statement to filter the data based on conditions
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Power bi desktop in power bi service

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 allows users to connect to various data sources and create interactive reports and dashboards.

• Users can easily share and collaborate on reports with others within the organization.

• It offers features like data modeling, data visualization, and data transformation.

• Power BI can be use...read more
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Q2. How creative a dashboard in power query
Ans. 
A creative dashboard in Power Query involves using unique visuals and interactive elements to present data in an engaging way.
• Utilize custom visuals to display data in a visually appealing manner

• Incorporate interactive elements such as slicers and filters for user-friendly navigation

• Use color coding and formatting to highlight important insights

• Include dynamic elements like tooltips and drill-down capabilities

• Experimen...read more
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Q1. Power bi desktop
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Q2. Write the Dax query in data modeling
Ans. 
Write a DAX query in data modeling
• Use CALCULATE function to apply filters and context to calculations

• Use SUMX function to iterate over a table and perform calculations

• Use RELATED function to retrieve related values from other tables
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Q1. What is power pivot
Ans. 
Power Pivot is a data modeling tool in Excel that allows users to create relationships, calculations, and measures for analyzing large datasets.
• Power Pivot is an add-in for Excel that enables users to create data models and perform advanced data analysis.

• It allows users to import and combine data from multiple sources, create relationships between tables, and define calculations and measures.

• Users can create complex ca...read more
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Q2. Creation in dax
Ans. 
Creation in DAX refers to the process of generating new calculated columns or measures in Power BI using Data Analysis Expressions.
• Use DAX functions like CALCULATE, SUMX, AVERAGE, etc. to create new columns or measures

• Understand the data model and relationships to create accurate calculations

• Test the newly created calculations to ensure they are working correctly
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Q1. What are duplicates and references
Ans. 
Duplicates are identical copies of data, while references are pointers to the same data in memory.
• Duplicates are exact copies of the original data.

• References point to the same data in memory.

• Duplicates can lead to inconsistencies in data analysis.

• References are more memory efficient than duplicates.
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Q2. How do you implement incremental refresh
Ans. 
Incremental refresh in Power BI allows for loading only new or modified data to improve performance.
• Set up incremental refresh policy in Power BI Service

• Define a range of values for the refresh policy

• Use parameters to filter data based on the refresh policy

• Schedule regular refreshes to update the dataset
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Brief information about Business Intelligence (BI) tools.

Q1. What is the role of Power BI in today's market?
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Q2. What are the differences between Power BI and Tableau?
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Q3. What are some case studies that demonstrate the use of Power BI?
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Q1. What are your salary expectations?
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Q1. What are the components of Power bi
Ans. 
Power BI components include Power Query, Power Pivot, Power View, Power Map, and Power Q&A.
• Power Query: Used for data extraction and transformation.

• Power Pivot: Used for data modeling and analysis.

• Power View: Used for interactive data visualization.

• Power Map: Used for geographical data visualization.

• Power Q&A: Allows users to ask questions in natural language and get answers from data.
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Q2. What is mean by DAX
Ans. 
DAX stands for Data Analysis Expressions and is a formula language used in Power BI for creating custom calculations.
• DAX is used to create custom calculations in Power BI, similar to Excel formulas.

• It can be used to create calculated columns, measures, and calculated tables.

• DAX functions can be used to manipulate data, perform calculations, and create complex expressions.

• Examples of DAX functions include SUM, AVERAGE,
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Q3. What is mean by M language
Ans. 
M language is a powerful data transformation language used in Power Query in Power BI.
• M language is used to transform and clean data in Power BI.

• It is a functional language with a wide range of functions and operators.

• M language is case-sensitive and uses a step-by-step approach to data transformation.

• Examples of M language functions include Table.TransformColumns and List.Transform.
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It was a real-time scenario that they asked about.

Q1. Difference between import and direct query
Ans. 
Import brings data into Power BI for processing, while direct query connects to data source live for real-time analysis.
• Import: Data is imported into Power BI for processing and analysis.

• Direct Query: Connects to data source live for real-time analysis without importing data.

• Import is suitable for smaller datasets, while direct query is better for large datasets or real-time analysis.

• Imported data is stored in Power BI...read more
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Q1. Scenario based question on Power BI summarized table view concept
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Q2. How to achieve dynamic chart based on selection button
Ans. 
Use Power BI bookmarks and buttons to dynamically change chart visuals based on user selection.
• Create multiple chart visuals for different data sets

• Use bookmarks to save different chart configurations

• Link selection buttons to bookmarks to dynamically switch between charts
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