JPMorgan Chase & Co. BSS Engineer Interview Questions and Answers

I have 5 years of experience with cloud computing.

• 5 years of hands-on experience working with AWS, Azure, and Google Cloud Platform

• Implemented cloud-based solutions for scalability and cost-efficiency

• Managed cloud infrastructure, including virtual machines, storage, and networking

• Utilized cloud services like EC2, S3, RDS, and Lambda for various projects

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

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

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