Synechron Interview Questions, Process, and Tips

Design patterns are reusable solutions to common software problems.

• Creational patterns: Singleton, Factory, Abstract Factory

• Structural patterns: Adapter, Decorator, Facade

• Behavioral patterns: Observer, Strategy, Command

• Architectural patterns: Model-View-Controller, Model-View-ViewModel

• Concurrency patterns: Thread Pool, Producer-Consumer

• Examples: Singleton ensures only one instance of a class exists, Factory creates obj...read more

The design pattern is used to solve a specific problem in software development.

• Design patterns are reusable solutions to common problems in software development.

• They provide a standard way to solve a problem that can be adapted to different situations.

• Examples of design patterns include Singleton, Factory, Observer, and Decorator.

• Using design patterns can improve code quality, maintainability, and scalability.

Factory Method Pattern

• Defines an interface for creating objects, but lets subclasses decide which class to instantiate

• Encapsulates object creation logic to a separate class

• Useful when a class can't anticipate the type of objects it needs to create

• Example: java.util.Calendar.getInstance()

• Example: javax.xml.parsers.DocumentBuilderFactory.newInstance()

Java8 features include lambda expressions, functional interfaces, streams, and default methods.

• Lambda expressions allow functional programming and simplify code.

• Functional interfaces enable the use of lambda expressions.

• Streams provide a way to process collections of data in a functional way.

• Default methods allow interfaces to have method implementations.

• Other features include the Date and Time API, Nashorn JavaScript

Hive metastore is a central repository that stores metadata for Hive tables and partitions.

• Hive metastore stores metadata such as table schema, location, and partition information.

• It allows multiple Hive sessions to access and share metadata.

• Metastore can be implemented using different databases like MySQL, PostgreSQL, or Derby.

• It is crucial for query optimization and data retrieval in Hive.