Technical Lead 2 Interview Questions and Answers

Different SDLC models include Waterfall, Agile, Scrum, and DevOps. The best model depends on the project requirements. STLC is Software Testing Life Cycle.

• Waterfall model follows a linear sequential flow, while Agile focuses on iterative development.

• Scrum is a subset of Agile that uses fixed-length iterations called sprints.

• DevOps combines development and operations to improve collaboration and productivity.

• The best SDLC model depends on project requirements, team expertise, ...read more

Sanity, smoke, retesting, and regression are types of testing performed during software development.

• Sanity testing: Quick test to check if the software is stable enough for further testing.

• Smoke testing: Initial testing to ensure the basic functionalities of the software are working.

• Retesting: Testing done to verify that a specific bug or issue has been fixed.

• Regression testing: Testing done to ensure that new code changes have not adversely affected existing functionalities....read more

Truncate removes all data from a table while delete removes specific rows. Agile is a project management methodology.

• Truncate is faster than delete as it doesn't log individual row deletions

• Truncate resets the identity of the table while delete doesn't

• Agile emphasizes on iterative development, continuous feedback, and collaboration

• Agile frameworks include Scrum, Kanban, and Extreme Programming

Non-functional testing focuses on the performance, usability, reliability, and other aspects of a system beyond its basic functionality.

• Non-functional testing evaluates the system's performance under load, its security, scalability, and other aspects.

• Examples include stress testing, load testing, security testing, usability testing, and compatibility testing.

• Non-functional testing helps ensure that the system meets the required quality standards and performs well in real-worl...read more

JPA is a Java specification for mapping Java objects to relational databases. Spring Boot provides easy integration with JPA for data persistence.

• Spring Boot provides built-in support for JPA through Spring Data JPA

• Entities in JPA are annotated with @Entity to map to database tables

• Repositories in Spring Data JPA are interfaces that extend JpaRepository for CRUD operations

• Configuration for JPA can be done in application.properties or application.yml file