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Lagozon Technologies

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Spg Infracon Interview Questions and Answers

Updated 26 Sep 2024

Q1. How you make understand your dashboard to non technical person

Ans.

I use simple language, visuals, and real-life examples to explain the dashboard to non-technical individuals.

  • Use simple language and avoid technical jargon

  • Include visuals like charts and graphs to make data easier to understand

  • Provide real-life examples to illustrate the data and its implications

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Q2. What is a Data Flow in Power BI/Azure environment ?

Ans.

Data Flow is a Power BI feature that allows users to transform and load data from various sources into a Power BI dataset.

  • Data Flow is a visual interface for building ETL (Extract, Transform, Load) processes in Power BI

  • It allows users to connect to various data sources, transform data using Power Query Editor, and load the transformed data into a Power BI dataset

  • Data Flow can be scheduled to refresh data on a regular basis

  • Examples of data sources that can be used in Data Flow...read more

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Q3. Difference between views and table explain with examples

Ans.

Views are virtual tables that display data from one or more tables, while tables store data physically.

  • Views are saved queries that act as virtual tables

  • Views do not store data physically, but tables do

  • Views can be used to simplify complex queries or restrict access to certain columns

  • Tables are used to store data permanently

  • Example: A view can be created to display only specific columns from a table

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Q4. How would you use Calender Function in DAX if there's no date field in your dataset ?

Ans.

Calendar function in DAX can be used to create a date table from scratch.

  • Create a new table with a column for each date component (year, month, day)

  • Use the CALENDAR function to generate a range of dates

  • Join the new table with the existing dataset using a common key

  • Use the new date table to perform time intelligence calculations

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Discover Spg Infracon interview dos and don'ts from real experiences

Q5. What is dynamic row level security

Ans.

Dynamic row level security is a feature that allows restrictions to be applied to rows of data based on user roles or attributes.

  • Implemented in BI tools like Power BI or Tableau

  • Security rules are defined based on user roles or attributes

  • Users only see data that they are authorized to access

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Q6. Is the M query case sensitive ? Is DAX ?

Ans.

M query and DAX are both case sensitive.

  • M query is case sensitive, meaning that 'Hello' and 'hello' are considered different values.

  • DAX is also case sensitive, so 'SUM' and 'sum' are not the same.

  • It is important to be consistent with capitalization when working with M query and DAX.

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Q7. Different types of Loads?

Ans.

Different types of loads include static, dynamic, thermal, and seismic loads.

  • Static loads are constant and do not change over time, such as the weight of a building.

  • Dynamic loads are variable and can change over time, such as wind or water pressure.

  • Thermal loads are caused by temperature changes and can cause expansion or contraction of materials.

  • Seismic loads are caused by earthquakes and can cause shaking or vibration of structures.

  • Other types of loads include live loads (s...read more

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Q8. Dax for inactive relationships

Ans.

DAX can be used to create calculated columns or measures to handle inactive relationships in Power BI.

  • Use DAX functions like USERELATIONSHIP to specify which relationship to use in calculations.

  • Consider using DAX functions like CALCULATE and FILTER to work with inactive relationships.

  • Example: CALCULATE(SUM('Table'[Column]), USERELATIONSHIP('Table'[RelatedColumn], 'RelatedTable'[RelatedColumn]))

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