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I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via Approached by Company and was interviewed in May 2024. There were 2 interview rounds.
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
Supervised learning methods, unsupervised learning methods
Quantzig interview questions for popular designations
Use data modeling techniques, optimize data sources, and leverage Power BI features like aggregations and incremental refresh.
Utilize data modeling techniques like creating relationships, hierarchies, and calculated columns to optimize data.
Optimize data sources by using query folding, reducing unnecessary columns, and filtering data before loading into Power BI.
Leverage Power BI features like aggregations to pre-calcu...
Many to many relationships can be handled using bridge tables or DAX functions in Power BI.
Create a bridge table to connect the two tables with a many to many relationship
Use DAX functions like CROSSFILTER or USERELATIONSHIP to handle many to many relationships
Consider using bidirectional filtering to handle many to many relationships
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posted on 31 Dec 2024
I applied via Recruitment Consulltant and was interviewed before Dec 2023. There were 4 interview rounds.
I cannot recall the platform, but it featured a combination of Python and SQL questions, with the majority being focused on SQL.
I applied via LinkedIn and was interviewed before Jan 2022. There were 3 interview rounds.
In the first round they ask some technical mcq and gave some coding questions in python and SQL.there were less aptitude questions.
The most frequent word in a sentence can be found by counting the occurrence of each word and selecting the one with the highest count.
Split the sentence into words using whitespace as delimiter
Create a dictionary to store the count of each word
Iterate through the words and update the count in the dictionary
Find the word with the highest count in the dictionary
Simple mcq's and coding
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