Siemens Software Architect Interview Questions and Answers

Dependency Inversion is a design principle where high-level modules do not depend on low-level modules, but both depend on abstractions. Dependency Injection is a design pattern where the objects are passed their dependencies rather than creating them internally.

• Dependency Inversion: High-level modules depend on abstractions, not on low-level modules. Promotes decoupling and flexibility.

• Dependency Injection: Objects are passed their dependencies rather than creating them inte...read more

Test automation framework is a set of guidelines, standards, and tools used for automating software testing.

• It helps in reducing manual testing efforts and increases test coverage.

• It provides a structured approach to test automation.

• It includes tools for test case management, test data management, and test execution.

• It supports various programming languages and testing frameworks.

• Examples include Selenium, Appium, TestNG, JUnit, and Cucumber.

Data can be pushed from server to client using technologies like WebSockets, Server-Sent Events, or HTTP long polling.

• Use WebSockets for real-time bidirectional communication between server and client.

• Server-Sent Events allow server to push data to client over a single, long-lived connection.

• HTTP long polling involves the client making repeated HTTP requests to the server, which holds the response until new data is available.

Yes, process industry refers to industries that produce goods through a series of steps or processes.

• Process industry involves manufacturing products through a series of steps or processes.

• Examples include chemical plants, oil refineries, food processing plants, and pharmaceutical companies.

• Efficiency and optimization are key factors in process industry to ensure quality and cost-effectiveness.

Code optimisation involves identifying and eliminating bottlenecks to improve performance.

• Identify and eliminate unnecessary code

• Use efficient algorithms and data structures

• Reduce I/O operations

• Minimize database queries

• Use caching

• Profile and measure performance

• Parallelize code where possible