Sesa Goa Iron Ore Power Plant Shift Incharge Interview Questions, Process, and Tips

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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Q1. Difference between direct query and import
Ans. 
Direct query connects to data source in real-time, while import loads data into Power BI for faster analysis.
• Direct query retrieves data from source on-demand, ensuring real-time data accuracy.

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

• Direct query is suitable for large datasets that require up-to-date information.

• Import is ideal for smaller datasets or when real-time dat
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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. Without RLS how can you implement the security to data?
Ans. 
Implement security to data using row-level security (RLS)
• Use user roles and permissions to restrict access to specific data

• Leverage Power BI's built-in security features such as dataset security and data categorization

• Implement dynamic security based on user context or attributes

• Utilize Power BI's security features like Azure Active Directory integration for authentication and authorization
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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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