BNP Paribas Engineer Interview Questions and Answers for Experienced

Knapsack Algorithm problem

Q1. OOPs concept & Design
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Q1. Can't recall at this time
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Q1. How to design scalable system
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Designing a scalable system involves considering factors like load balancing, horizontal scaling, and fault tolerance.
• Utilize load balancing to distribute traffic evenly across servers.

• Implement horizontal scaling by adding more servers to handle increased load.

• Ensure fault tolerance by designing for redundancy and failover mechanisms.

• Use caching and database sharding to improve performance and scalability.

• Consider mic...read more
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Q2. How to debug and optimize code
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Debugging and optimizing code involves identifying and fixing errors and improving performance.
• Use debugging tools like breakpoints, print statements, and logging to identify issues

• Analyze code for inefficiencies and refactor where necessary

• Optimize algorithms and data structures for better performance

• Profile code to identify bottlenecks and optimize critical sections

• Test changes to ensure they improve performance with
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Q1. Hadoop basics on computing
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Q2. Distribution basics for processing the data
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Q1. Architecture of bigdata systems
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Bigdata systems architecture involves distributed storage, processing, and analysis of large volumes of data.
• Utilize distributed file systems like HDFS for storage

• Use parallel processing frameworks like Apache Spark or Hadoop for data processing

• Implement data pipelines for ETL processes

• Leverage NoSQL databases like Cassandra or MongoDB for real-time data querying

• Consider data partitioning and replication for fault tole
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Q2. How will the bigdata system distribution for storage andcompute happen
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Big data system distribution for storage and compute involves partitioning data across multiple nodes for efficient processing.
• Data is partitioned across multiple nodes to distribute storage and processing load.

• Hadoop Distributed File System (HDFS) is commonly used for storage distribution.

• Apache Spark utilizes a cluster computing framework for distributed computing.

• Data locality is important to minimize data transfer ...read more
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Q1. Design a system like youtube
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Design a system similar to YouTube for video sharing and streaming
• Implement user authentication and authorization for uploading and viewing videos

• Create a database to store video metadata, user information, and comments

• Develop a recommendation algorithm based on user preferences and viewing history

• Utilize a content delivery network (CDN) for efficient video streaming

• Include features like video monetization, live stream
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Q1. Project related
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Q1. Scenario based question on kafka
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