Morgan Stanley Senior Software Developer Interview Questions, Process, and Tips

Mutable data types can be changed after creation, while non-mutable data types cannot be changed.

• Mutable data types in Python include lists and dictionaries.

• Non-mutable data types in Python include tuples and strings.

• Changing a mutable data type will modify the original object, while changing a non-mutable data type will create a new object.

A decorator is a design pattern that allows behavior to be added to individual objects, either statically or dynamically, without affecting the behavior of other objects.

• Decorators are functions that take another function and extend its behavior without explicitly modifying it.

• They are commonly used in Python to add functionality to existing functions or classes.

• Example: Adding logging to a function using a decorator.

I am familiar with design patterns such as Singleton, Factory, Observer, and MVC.

• Singleton pattern ensures a class has only one instance and provides a global point of access to it.

• Factory pattern creates objects without specifying the exact class of object that will be created.

• Observer pattern defines a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and up...read more

Design a system for a company in hospitality

• Implement a centralized reservation system for booking rooms, tables, and other services

• Incorporate a customer feedback system to gather reviews and ratings for continuous improvement

• Include a staff scheduling and management module to efficiently allocate resources

• Integrate a payment gateway for secure transactions and invoicing

• Utilize data analytics to track customer prefere

Implemented threads in a multi-threaded application to improve performance and concurrency.

• Implemented threads in a multi-threaded application to handle multiple tasks concurrently

• Used threads to improve performance by parallelizing tasks

• Implemented threads in a web server to handle multiple client requests simultaneously