MapmyIndia GIS Trainee Interview Questions and Answers

The aptitude questions were bit easy and there were questions about SQL, and also excel sheets.

Q1. Questions about sql
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Approx 30 questions which are to be solved in 1 hour. Questions include logical and mathematical questions along with basic ML and stats questions

Q1. Basic questions related to Python and SQL
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Q1. Advance SQL questions and 1 case study
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Q1. Basic ML questions and Business acumen questions
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Basic Apititude Questions

Q1. Difference between WHERE and HAVING??
Ans. 
WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.
• WHERE is used with SELECT statement to filter rows based on a condition

• HAVING is used with GROUP BY statement to filter groups based on a condition

• WHERE is applied before data is grouped, HAVING is applied after data is grouped

• Example: SELECT * FROM table WHERE column = 'value'

• Example: SELECT column, COUNT(*) FROM table GROUP B
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Q2. Where- Row Level Filters Having-Aggregate Filters
Ans. 
Row level filters are applied before aggregations, while aggregate filters are applied after aggregations.
• Row level filters are used to filter individual rows of data before any aggregations are performed.

• Aggregate filters are used to filter the aggregated results after the data has been grouped and summarized.

• Row level filters are typically applied using WHERE clause in SQL, while aggregate filters are applied using H...read more
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Q1. Why do you wanna join Uber?
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Q2. Best Company Ever
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It was basic MCQ related to Javascript

Q1. Asked basic questions related to array and SQL
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Q1. Asked question to test the business context
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It was easy consisting of sql and excel questions

Q1. Calculate no of rows after join
Ans. 
Calculate the number of rows after joining two datasets.
• Count the number of rows in each dataset

• Perform the join operation

• Count the number of rows in the resulting dataset
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Q2. Split person name in excel
Ans. 
Use Excel's text to columns feature to split person names into separate columns.
• Select the column containing the full names

• Go to the Data tab and click on Text to Columns

• Choose 'Delimited' and select the delimiter that separates the names (e.g. space)

• Click Finish to split the names into separate columns
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Q1. Tell me about yourself. Joins questions
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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