JPMorgan Chase & Co. Software Engineer Interview Questions, Process, and Tips

Kubernetes is an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.

• Kubernetes helps in automating the deployment, scaling, and management of containerized applications.

• It allows for easy scaling of applications by adding or removing containers based on demand.

• Kubernetes provides features like load balancing, self-healing, and rolling updates fo...read more

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

• Kubernetes architecture consists of a master node and multiple worker nodes.

• Master node components include API server, scheduler, controller manager, and etcd.

• Worker node components include kubelet, kube-proxy, and container runtime (e.g. Docker).

• Kubernetes uses Pods as the ...read more

Sorting a 1d array of strings

• Use a sorting algorithm like bubble sort, selection sort, or merge sort

• Consider using built-in sorting functions in programming languages like sort() in Python or Arrays.sort() in Java

• Ensure to compare strings correctly based on their ASCII values

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]

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

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