Nielsen Interview Questions, Process, and Tips

Q1. Who do you test your django apps?
Ans. 
I test my Django apps using automated testing tools and manual testing methods.
• I use Django's built-in testing framework to write unit tests for individual components of the app.

• I also use tools like pytest and Selenium for automated testing of the app's functionality.

• I perform manual testing to ensure the app works as expected in real-world scenarios.

• I use tools like Django Debug Toolbar to identify and fix any perfor
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Q2. Count the number of vowels in a string.
Ans. 
Count the number of vowels in a given string.
• Iterate through each character in the string and check if it is a vowel (a, e, i, o, u).

• Increment a counter for each vowel found.

• Return the total count of vowels in the string.
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Q1. Third party took the interview. Basics of programming and database were asked.
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Q1. Asked to build a small game. LLD round.
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It was MCQ in simple aptitude, python and SQL questions

Q1. Python coding and explaination
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Q2. SQL coding and explaination
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Q1. Case study based on data understanding
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Q1. Behavioural and questions from my resume
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Sql, python, Statistics mcq, Aptitude test. These were medium level questions.

Q1. SQL and python, time complexity
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Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...read more
Ans. 
Remove duplicates from list b, keep elements not in list a, and sort in ascending order.
• Create a set from list b to remove duplicates

• Use list comprehension to keep elements not in list a

• Sort the final list in ascending order
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Q3. SQL question Remove duplicate from a table tab1
Ans. 
Use the DISTINCT keyword in SQL to remove duplicates from a table.
• Use the SELECT DISTINCT statement to retrieve unique rows from the table.

• Identify the columns that should be used to determine uniqueness.

• Example: SELECT DISTINCT column1, column2 FROM tab1;
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Given 2 case studies on data science and asked different possibilities to improve the models.

How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST

Q1. What was last project, tell me in detail. There were different technical questions related to my project
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