WalzoneInterview Prep
📞 Interviewing soon? Practice with a realistic AI mock phone interview — it calls you, then scores you. First 15 min FREE →

Core Java · Guru · question 83 of 100

What is a distributed system? What are the challenges of building and maintaining distributed systems?

📕 Buy this interview preparation book: 100 Core Java questions & answers — PDF + EPUB for $5

A distributed system is a collection of independent computers that work together as a single system to provide a set of services to users. In a distributed system, each computer in the network is referred to as a node, and they communicate and coordinate with each other to perform tasks. The main advantage of a distributed system is that it allows resources to be shared and enables greater scalability and fault tolerance.

Building and maintaining a distributed system can be challenging due to several factors. One of the main challenges is ensuring that the system remains reliable and available despite the failures or unavailability of individual nodes. This requires careful design and implementation of fault-tolerant mechanisms such as replication, load balancing, and failover.

Another challenge of distributed systems is managing data consistency across nodes. In a distributed system, data can be replicated across multiple nodes, and updates to data can occur concurrently at different nodes. Ensuring that all nodes have consistent and up-to-date data requires the implementation of mechanisms such as distributed locking, versioning, and conflict resolution.

Security is also a major concern in distributed systems. Since data is often transmitted over public networks, it is vulnerable to attacks such as eavesdropping, tampering, and denial of service. Therefore, distributed systems must be designed with robust security mechanisms such as encryption, authentication, and access control.

Finally, developing and testing distributed systems can be more complex and time-consuming than developing traditional monolithic systems. This is due to the need to consider interactions and dependencies between nodes, as well as the need to test the system in a variety of failure scenarios.

Here is an example of a simple distributed system in Java using RMI (Remote Method Invocation) to call methods on a remote object:


public interface RemoteService extends Remote {
    public void hello() throws RemoteException;
}

// Remote implementation
public class RemoteServiceImpl implements RemoteService {
    public void hello() throws RemoteException {
        System.out.println("Hello from the remote service!");
    }
}

// Server
public class Server {
    public static void main(String[] args) throws Exception {
        RemoteService remoteService = new RemoteServiceImpl();
        Naming.rebind("RemoteService", remoteService);
        System.out.println("Remote service started.");
    }
}

// Client
public class Client {
    public static void main(String[] args) throws Exception {
        RemoteService remoteService = (RemoteService) Naming.lookup("RemoteService");
        remoteService.hello();
    }
}

In this example, the RemoteService interface defines a method that can be called remotely, and the RemoteServiceImpl class provides the implementation of that method. The Server class starts the remote service by binding the implementation to a name using the Naming class. The Client class looks up the remote service by the same name and calls the hello() method on it.

Reading is step one. Saying it out loud is the interview. Our AI interviewer calls your phone and runs a realistic Core Java interview — then scores it.
📞 Practice Core Java — free 15 min
📕 Buy this interview preparation book: 100 Core Java questions & answers — PDF + EPUB for $5

All 100 Core Java questions · All topics