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I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
Types of joins in SQL include inner join, left join, right join, and full outer join.
Inner join: Returns rows when there is a match in both tables.
Left join: Returns all rows from the left table and the matched rows from the right table.
Right join: Returns all rows from the right table and the matched rows from the left table.
Full outer join: Returns rows when there is a match in either table.
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I applied via Job Portal and was interviewed in Feb 2024. There were 2 interview rounds.
Aptitude test are basically asked from reasonable and patterns type questions.
Tooics are given from businesses and case study
Consisted of MCQs on Python and SQL
Case study on different aspects of analytics
I applied via Naukri.com and was interviewed before Sep 2023. There were 3 interview rounds.
Medium to difficult level
Python provides built-in libraries like json to handle JSON data easily.
Use json module to load and parse JSON data
Use json.dumps() to convert Python objects into JSON strings
Use json.loads() to convert JSON strings into Python objects
Test was very simple having 4 sql questions and 4 python questions. Total time given was 90 minutes.
Pyrhon questions was one liner code.
Sql questions was related to join, group by, where and order functions
I applied via LinkedIn and was interviewed before Aug 2021. There were 4 interview rounds.
A technical test for whatever technical round you are applying for. Will be conceptual test rather than hard/coded test
To derive % share in Power BI, use the 'Group By' function and create a measure using the 'Divide' function.
Use the 'Group By' function to group the data by the desired category
Create a measure using the 'Divide' function to calculate the percentage share
Add the measure to a visual to display the % share
Example: = DIVIDE(SUM(Sales[Revenue]), CALCULATE(SUM(Sales[Revenue]), ALL(Sales)))
Do select test
Sum and SumX are DAX functions used in Power BI to calculate the sum of values in a column or table.
Sum calculates the sum of values in a column or table.
SumX calculates the sum of an expression evaluated for each row in a table.
Both functions can be used in measures and calculated columns.
Example: Sum(Sales[Revenue]) calculates the total revenue for the Sales table.
Example: SumX(Orders, [Quantity]*[Price]) calculates ...
I applied via Naukri.com and was interviewed in Dec 2022. There were 4 interview rounds.
Explanation of adstock, decay, Due tos Contributions, seasonality and its formula.
Adstock is the measure of the lasting impact of advertising on consumer behavior.
Decay refers to the reduction in the effectiveness of advertising over time.
Due tos Contributions is the attribution of sales to different marketing channels.
Seasonality is the pattern of sales or other metrics that repeat over a fixed period of time.
The form...
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