30+ Shree Vikunth Logistic Interview Questions and Answers

Multi tasking, multi processing, and multi programming are different approaches to managing tasks in an operating system.

• Multi tasking allows multiple tasks to run concurrently on a single processor.

• Multi processing involves multiple processors running tasks simultaneously.

• Multi programming allows multiple programs to be loaded into memory and executed concurrently.

• Examples of multi tasking operating systems include Windows, macOS, and Linux.

• Examples of multi processing opera...read more

Use a shared variable and synchronization mechanisms to ensure natural order printing of numbers.

• Create two threads, one for printing even numbers and the other for printing odd numbers.

• Use a shared variable to keep track of the current number to be printed.

• Implement synchronization mechanisms like locks or semaphores to ensure only one thread can access the shared variable at a time.

• Each thread should check if it is its turn to print the number based on the parity of the cur...read more

Heap memory can be monitored using tools like profilers. Objects are removed from heap memory through garbage collection.

• Use profilers like VisualVM or Java Mission Control to monitor heap memory usage

• Analyze heap dumps to identify memory leaks and optimize memory usage

• Garbage collection automatically removes unreferenced objects from heap memory

• Different garbage collection algorithms like Mark and Sweep, Copying, and Generational are used

• Tuning garbage collection parameters ...read more

Yes, a load balancer can handle multiple addition of new instances or pods.

• A load balancer distributes incoming traffic across multiple instances or pods.

• To handle multiple additions, the load balancer should be able to dynamically update its routing configuration.

• Load balancers can use various algorithms to distribute traffic, such as round-robin, least connections, or weighted distribution.

• Load balancers can also perform health checks on instances or pods to ensure they are...read more

Yes, a distributed system can handle 1M requests per second by using load balancing, horizontal scaling, and caching.

• Implement load balancing to distribute incoming requests across multiple servers.

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

• Implement caching to store frequently accessed data and reduce the load on the backend.

• Optimize the system by using efficient algorithms and data structures.

• Ensure fault tolerance and high availability by re...read more

Memory allocation refers to the process of assigning memory to programs during runtime.

• Stack allocation is done automatically and is limited in size.

• Heap allocation is done manually and is larger in size.

• Stack memory is used for local variables and function calls.

• Heap memory is used for dynamic memory allocation.

• Memory leaks can occur if heap memory is not properly managed.

Handling an application running on different instances involves load balancing, monitoring, and synchronization.

• Implement load balancing to distribute the workload evenly across instances.

• Monitor the performance and health of each instance to ensure optimal operation.

• Use synchronization techniques to maintain consistency and avoid conflicts between instances.

• Implement failover mechanisms to handle instances going offline or becoming unresponsive.

• Consider using containerizatio...read more

Caching improves application performance by storing frequently accessed data in memory.

• Identify the data that needs to be cached

• Choose a caching strategy (e.g., in-memory cache, distributed cache)

• Implement caching logic in the application code

• Set appropriate cache expiration policies

• Handle cache invalidation when data changes

Printing a matrix in spiral order

• Start from the first element and print it

• Move in a spiral order towards the center of the matrix

• Repeat until all elements are printed

Use list comprehension to find substrings in a list of strings in Python

• Use list comprehension to iterate through the list of strings

• Use the 'in' keyword to check if the substring is present in each string

• Filter out strings that do not contain the substring

SOLID principles are a set of five design principles for writing maintainable and scalable code.

• Single Responsibility Principle (SRP) - A class should have only one reason to change.

• Open/Closed Principle (OCP) - A class should be open for extension but closed for modification.

• Liskov Substitution Principle (LSP) - Subtypes should be substitutable for their base types.

• Interface Segregation Principle (ISP) - A client should not be forced to depend on methods it does not use.

• Depe...read more

Splunk is a powerful logging system used for collecting, indexing, and analyzing machine-generated data.

• Splunk is used for real-time monitoring, searching, and analyzing log data from various sources.

• It can be used to troubleshoot issues, monitor system performance, and detect security threats.

• Splunk allows users to create custom dashboards and reports for visualizing data insights.

• It supports a wide range of data sources including logs, metrics, and events.

• Splunk can be inte...read more

Microservices architecture is an approach to software development where a single application is composed of small, independent services that communicate with each other through APIs.

• Each service is responsible for a specific function or feature of the application

• Services are loosely coupled, allowing for easier scalability and maintenance

• Communication between services is typically done through lightweight protocols like HTTP or messaging queues

• Microservices can be deployed in...read more