Insolutions Global Data Entry Operator Interview Questions and Answers

Q1. Tell me about yourself and the current projects you are working on.
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Q1. Sql Questions on regex, json , window functions were there.
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Q1. Questions on current project, Tableau related question were there.
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It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.

Q1. Brief me about yourself
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Q1. What is your experience as a data analyst?
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Sql, python, statistical questions

Q1. How daily work looks like?
Ans. 
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
• Reviewing and cleaning data sets

• Creating visualizations and dashboards

• Conducting statistical analysis

• Communicating insights to non-technical stakeholders
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Q2. Most ise tools?
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Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
• Excel is widely used for data manipulation and analysis.

• Python and R are popular programming languages for data analysis and machine learning.

• Tableau is a powerful data visualization tool.

• SQL is essential for querying databases and extracting data.
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4 sql tasks on 3 tables. Joins, subqueries

Q1. What techonologies do you know?
Ans. 
I am proficient in SQL, Python, R, Tableau, and Excel for data analysis and visualization.
• SQL

• Python

• R

• Tableau

• Excel
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SQL Coding Tests. You get 3 tables and they ask you to find customer with certain conditions. Not hard

Q1. Detailed discussion on past experience and projects.
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Q1. 2 Hackerrank SQL Questions
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Q2. 1 Hackerrank Python Question
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Q1. Implement lag() and lead() without using lag() or lead()
Ans. 
Implement lag() and lead() functions without using lag() or lead()
• To implement lag(), shift the values in the array by one position to the right

• To implement lead(), shift the values in the array by one position to the left

• For example, to implement lag() on [1, 2, 3, 4], you can shift the values to get [null, 1, 2, 3]

• For lead(), you can shift the values to get [2, 3, 4, null]
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Q2. How will you go about optimising a query?
Ans. 
Optimising a query involves identifying bottlenecks and improving efficiency.
• Identify slow-performing queries using tools like query execution plans.

• Optimize database indexes to speed up query performance.

• Limit the number of columns and rows returned in the query.

• Avoid using SELECT * and instead specify only the necessary columns.

• Use appropriate data types and avoid unnecessary data conversions.

• Consider denormalizing d...read more
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Q3. If the 3rd position in a string contains 'b' replace it with 'v'
Ans. 
Replace 'b' with 'v' in the 3rd position of each string in an array
• Iterate through each string in the array

• Check if the 3rd position contains 'b'

• If yes, replace 'b' with 'v'
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