BNP Paribas India Solutions Interview Questions, Process, and Tips

Maths , coding , relational questions, technical questions

Q1. What is your hobbies
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Q2. Salary expectations
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Q1. SQL queries joins
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Q2. JAVA and oops concept
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Q1. Asked to explain past project and contribution
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Q2. Write sql querying to count employees per department
Ans. 
SQL query to count employees per department
• Use GROUP BY clause to group employees by department

• Use COUNT() function to count the number of employees in each department

• Join the employee table with the department table if necessary
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Q3. Write a program using Java Stream API
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Program using Java Stream API to filter even numbers from a list
• Create a list of numbers

• Use stream() method to convert list to stream

• Use filter() method with lambda expression to filter even numbers

• Collect the filtered numbers using collect() method
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Q4. Questions related to Java 8 features
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Q1. What is the difference between an enterprise architect and a technical architect?
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Q1. Tell me about your self
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Q2. What is derivatives.
Ans. 
Derivatives are financial instruments whose value is derived from an underlying asset or benchmark.
• Derivatives are contracts between two parties that specify the conditions for buying or selling an asset at a future date and price.

• They are used for hedging against price fluctuations, speculating on future price movements, or gaining exposure to an asset without owning it.

• Common types of derivatives include futures cont...read more
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Q3. Few Journal entries
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Q4. Strength & weakness
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Q5. Accounting entire
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Q6. Privious organization experience
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Q1. Tell me about yourself
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Q2. How to forecast revenue
Ans. 
Forecasting revenue involves analyzing historical data, market trends, and sales projections to predict future income.
• Analyze historical sales data to identify patterns and trends

• Consider market conditions and economic factors that may impact sales

• Utilize sales projections from the sales team or industry experts

• Use forecasting models such as time series analysis or regression analysis

• Adjust forecasts based on any exter
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