Mobile Premier League Business Analyst Interview Questions and Answers

Q1. Details about the projects in your resume
Add your answer
Q2. MYSQL codes in window function
Ans. 
MYSQL window functions allow for calculations across rows in a result set.
• Window functions are used to perform calculations across rows in a result set

• They are used with the OVER() clause

• Examples include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE()

• They can be used to calculate running totals, moving averages, and more
Answered by AI
Add your answer
Q3. Mostly questions related to cricket tables which was told to be assumed
Add your answer

Q1. Gaming and network knowledge
Add your answer

Gaming and network knowledge

Q1. Salary discussion
Add your answer

Q1. What is the difference between Union and Union all ?
Ans. 
Union combines the results of two or more SELECT statements, while Union all includes all rows, including duplicates.
• Union removes duplicate rows from the result set, while Union all includes all rows.

• Union sorts the result set, while Union all does not.

• Union is slower than Union all because it performs a distinct operation.

• Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

• Example: SELECT column1 FRO
Answered by AI
Add your answer
Q2. Which query is more faster , joins or union?
Ans. 
Joins are generally faster than unions.
• Joins are typically faster than unions because they combine data from multiple tables based on a common column, while unions combine data from multiple queries into a single result set.

• Joins can utilize indexes on the columns being joined, which can improve performance.

• Unions involve combining the results of multiple queries, which can be slower as it requires merging and sorting ...read more
Answered by AI
Add your answer

SQL based leetcode medium and hackerrank

Python take home EDA case study assessment

Easy coding questions

Tough level questions , needed high level of thinking

Intermediate SQL Topics - Window Function, Subquery, Joins

Tables:
registration (userid string, regdate date);
txn(txndate date, userid string, amt int, game string);

1. Write a query to get proportion of users who have played a game within 2 days of registration
2. Find the most money spent on a game for each user
3. Get the list of users who played poker but not ludo