Vyapar Data Analyst Interview Questions and Answers

Basic Hacker Rank SQL Questions 2 . and 10 MCQ based

Q1. Select customer, sum(amt ) as total_amt from t1 group by customer how many no. of rows it will return and explain this table t1 column name-> dept customer item amt
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Q2. Select * , sum(amt) over (partition by customer) as total_amt from t2
Ans. 
The query selects all columns and calculates the total amount for each customer in table t2.
• The query uses a window function to calculate the sum of 'amt' for each customer in the 't2' table.

• The 'partition by customer' clause divides the result set into partitions based on the 'customer' column.

• The 'select *' statement selects all columns from the table along with the calculated total amount.

• The 'sum(amt) over (partiti...read more
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Q3. How many Customers has purchased same item on the Same day more than onnce
Ans. 
To find customers who purchased the same item multiple times on the same day.
• Identify unique customers who purchased the same item multiple times on the same day

• Check for duplicate transactions by customer and item on the same day

• Aggregate the data to count the number of customers who made multiple purchases of the same item on the same day
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6 mcqs and 2 sql questions

Q1. Difference between having and where in sql
Ans. 
In SQL, 'HAVING' is used with GROUP BY to filter groups, while 'WHERE' is used to filter rows before grouping.
• HAVING is used with GROUP BY to filter groups based on aggregate functions

• WHERE is used to filter rows before grouping

• HAVING is used after GROUP BY in the query, while WHERE is used before GROUP BY

• Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000;

• Example: S
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Q2. Sql joins and it types
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Q3. Window functions and subqueries
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Q4. Sql scenario question based on joins
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Q5. Kpi's and metrics
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Q1. Business problem related to case study
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HackerEarth based assessment.
1. 8 qs were stats & prob based multiples choices
2. 2 were medium level sql questions.

Q1. Started with basic sql question like diff btw nosql & sql, join etc
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Q2. Table were given in google sheet & had to write basic level queries on them eg. cte's, agg function, lead & lag func
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Q1. The interviewer was not serious at all, asked silly quizzes instead of business case study, KPI & metrics
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Q2. Prepare for logical reasoning
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Consisted of 10 questions, 2 SQL medium level questions and remaining easy aptitude, profit loss, work time etc

Q1. SQL visualisation
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Q2. SQL Questions theory
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