Synechron
10+ Pan Gulf Technologies Interview Questions and Answers
Q1. Explain the usage of that particular design pattern
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.
Q2. Explain design patterns you know
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 objects without exposing the instantiation logic, Observer al...read more
Q3. Write code for that design pattern
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()
Q4. What are the java8 features
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 engine, and improved security.
Q5. Internal working of data Structures
Data structures are used to organize and store data in a way that enables efficient access and modification.
Data structures can be classified as linear or non-linear
Examples of linear data structures include arrays, linked lists, and stacks
Examples of non-linear data structures include trees and graphs
Data structures can be implemented using various programming languages
Efficient algorithms for searching, sorting, and manipulating data depend on the choice of data structure
Q6. Concurrent HashMap versus HashMap?
Concurrent HashMap is thread-safe and allows concurrent access, while HashMap is not thread-safe.
Concurrent HashMap is suitable for multi-threaded environments where multiple threads can access and modify the map concurrently.
HashMap is not thread-safe and can lead to data corruption if accessed concurrently by multiple threads.
Concurrent HashMap uses internal locking mechanisms to ensure thread safety, while HashMap does not provide such mechanisms.
Example: In a web applicat...read more
Q7. Multi threading Implementation
Multi threading is a technique to execute multiple threads concurrently in a single process.
Multi threading improves application performance by utilizing multiple CPU cores.
It requires careful synchronization to avoid race conditions and deadlocks.
Java provides built-in support for multi threading through the Thread class and Runnable interface.
Thread pools can be used to manage and reuse threads efficiently.
Multi threading can be used in various applications such as web serv...read more
Q8. Java 8 features.
Java 8 introduced several new features including lambda expressions, streams, and default methods.
Lambda expressions allow for functional programming and simplify code.
Streams provide a way to process collections of data in a functional way.
Default methods allow for adding new methods to interfaces without breaking existing implementations.
Other features include the Optional class, Date and Time API, and Nashorn JavaScript engine.
Q9. Partitioning a large Database.
Partitioning a large database involves dividing the data into smaller chunks to improve performance and manageability.
Identify key columns for partitioning, such as date ranges or customer IDs.
Choose a partitioning strategy, such as range partitioning or hash partitioning.
Implement partitioning using database features like table partitioning in Oracle or partitioned tables in PostgreSQL.
Q10. Collection’s framework
Collection's framework is a set of interfaces and classes that provide high-performance, high-quality implementations of data structures.
Provides interfaces like List, Set, Map for storing and manipulating collections of objects
Includes classes like ArrayList, LinkedList, HashSet, HashMap for concrete implementations
Allows for easy iteration, sorting, searching, and manipulation of collections
Supports generics to ensure type safety and compatibility
Q11. hooks in react describe
Hooks in React are functions that let you use state and other React features in functional components.
Hooks were introduced in React 16.8 to allow functional components to have state and lifecycle methods.
useState() is a hook that allows you to add state to functional components.
useEffect() is a hook that lets you perform side effects in functional components.
Custom hooks are reusable functions that can contain stateful logic and be shared across components.
Q12. Redux flow describe
Redux is a predictable state container for JavaScript apps.
Redux is a state management library commonly used with React.
It follows a unidirectional data flow pattern.
Actions are dispatched to update the state through reducers.
State changes are handled immutably.
Selectors can be used to access specific parts of the state.
Middleware can be used for side effects like async operations.
Example: Dispatching an action to add an item to a shopping cart.
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