Xitadel CAE Technologies Interview Questions and Answers

Code a system to query an API, do multiprocessing and improve efficiency

• Use a library like requests in Python to query the API

• Implement multiprocessing using a library like multiprocessing or threading in Python

• Optimize efficiency by caching API responses or using asynchronous programming

Implement merge sort and find kth largest element in an array.

• Merge sort is a divide and conquer algorithm that recursively divides the array into two halves, sorts them and then merges them.

• Kth largest element can be found using quick select algorithm or by sorting the array and returning the kth element from the end.

• Merge sort has a time complexity of O(nlogn) and space complexity of O(n).

• Quick select has a time complexity of O(n) in average case and O(n^2) in worst case.

• So...read more

Singleton design pattern restricts the instantiation of a class to one object.

• Ensures only one instance of a class exists

• Provides a global point of access to that instance

• Used when only one instance of a class is needed throughout the application

• Example: Database connection manager

Memory management in Python involves automatic memory allocation and deallocation through garbage collection.

• Python uses automatic memory management through garbage collection to allocate and deallocate memory.

• Memory is managed using reference counting and a cycle-detecting garbage collector.

• Python's memory management is efficient for most use cases, but can lead to memory leaks if circular references are not handled properly.

Garbage collection in Python is an automatic memory management process that helps in reclaiming memory occupied by objects that are no longer in use.

• Python uses a built-in garbage collector to manage memory automatically.

• The garbage collector in Python uses reference counting and a cycle-detecting algorithm to reclaim memory.

• Explicitly calling the 'gc.collect()' function can trigger garbage collection in Python.

• Garbage collection helps in preventing memory leaks and optimizin...read more

NoSQL databases are non-relational databases that store and retrieve data in a non-tabular format.

• Document-oriented databases (MongoDB, Couchbase)

• Key-value stores (Redis, Riak)

• Column-family stores (Cassandra, HBase)

• Graph databases (Neo4j, OrientDB)

Scaling refers to the process of increasing or decreasing the capacity of a system to handle more or less load.

• Vertical Scaling: Adding more resources to a single node

• Horizontal Scaling: Adding more nodes to a system

• Load Balancing: Distributing the load across multiple nodes

• Database Sharding: Splitting a database into smaller parts to distribute the load

• Caching: Storing frequently accessed data in memory for faster access

Angular is a popular front-end framework for building web applications.

• Angular is developed and maintained by Google.

• It uses TypeScript for building scalable and maintainable applications.

• Angular has a powerful CLI for generating components, services, and more.

• It has a large and active community with many third-party libraries and plugins available.

• Angular has a modular architecture that allows for easy code reuse and testing.