BNP Paribas Software Developer Interview Questions and Answers

Behavioural and culture fit

Q1. Core Java, Java 8 features, OOPS Concepts, Design Patterns used in project, Spring core, Spring Security, Spring transaction management, Spring JPA
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Q1. Project Experience, DSA related questions, scenario based questions
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CodeVue coding test, one coding questions based on regular expressions

Q1. Contract Negotiation, Previous Experiences
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Two questions were asked one ease level one moderate level, both questions were based on dsa topics. I would highly recommend to solve leetcode easy and medium questions.

Q1. Two HR type questions were asked on this platform, try to answer them as honestly as possible and keep it real.
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Q1. CFG is an nationwide hackathon in which students from various different universities are put in one team and have to make a working project within the designated time frame.
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Q1. Investment banks mostly ask multithreading questions or core concepts of java language.
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Q1. In 2nd round also, they asked java and spring related questions.
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There was one coding round that contains one average type algo and we have to write the program for that.

Q1. Explain difference between numpy array and list
Ans. 
Numpy arrays are more efficient for numerical operations compared to lists.
• Numpy arrays are homogeneous in nature, while lists can contain different data types.

• Numpy arrays support vectorized operations, making them faster for numerical computations.

• Numpy arrays require less memory compared to lists for large datasets.

• Example: np_array = np.array([1, 2, 3]) vs list = [1, 2, 3]
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Q2. Coding question: Reverse words in sentence
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Q1. Covid Case Study
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Q2. Merge two dataframe
Ans. 
Merging two dataframes combines them into a single dataframe based on a common column or index.
• Use the merge() function in pandas library in Python to merge dataframes

• Specify the common column or index to merge on

• Choose the type of join (inner, outer, left, right) based on your requirement
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Q1. Java Api debugging.
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Q2. DSA coding question with modifications
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Q1. Ai parking management system design
Ans. 
Designing an AI parking management system to optimize parking space usage and improve efficiency.
• Utilize sensors to detect available parking spaces in real-time

• Implement machine learning algorithms to predict parking demand and optimize space allocation

• Integrate with mobile apps for users to easily find and reserve parking spots

• Use computer vision for license plate recognition and enforcement of parking rules
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Q1. Behavioral questions
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