Java Backend Development is a highly in-demand and well-paying job in the tech industry.

If you're looking to become an excellent Java Developer, here's a roadmap that includes various online resources:

1. Core Java

First comes the fundamentals of Java Programming, here you will understand OOP concepts, conditional statements, collection frameworks,and many more.

https://youtube.com/playlist?list=PLd3UqWTnYXOnjGmyjD3zbIkyLXP15-6w0&si=UYvQhVNlZQYCH1Il

2. JDBC

A  Java API that allows you to access tabular data, especially data stored in a relational database.

https://youtube.com/playlist?list=PLsyeobzWxl7rU7Jz3zDRpqB-EODzBbHOI&si=Cc45vpeRXGIUKbfn

3. SQL

Get a good understanding of SQL, which is necessary to work with JDBC to write queries.

https://youtu.be/7S_tz1z_5bA

4. JSP + Servlet

Learn JSP and Servlet, which are used for writing web pages for web applications and handling client requests on the server-side.

https://youtube.com/playlist?list=PLE0F6C1917A427E96&si=TQeOIgluG3R29622

5. Spring Framework

5.1. Core Spring Framework

https://youtu.be/GB8k2-Egfv0?si=dHYp6rFkGVl9RMt8

5.2. Spring REST & Spring DATA

https://youtu.be/GwYUjzPrQTM?si=hJfmpukii2WnofxQ

5.3. Spring Security
Spring Security is the primary choice for implementing application-level security

https://youtu.be/sm-8qfMWEV8?si=uMkpBxOUXIptZif9

6. Hibernate Framework

Hibernate is a Java framework that simplifies the development of Java application to interact with the database. It is an open source, lightweight, ORM (Object Relational Mapping) tool.

https://youtu.be/Yv2xctJxE-w?si=q4FIOBxxX-Y0Qj5q

7. Spring Boot

Spring Boot is the ultimate framework and Makes Java Web Development less boilerplate, it can help you make production-ready applications in no time.

https://youtu.be/msXL2oDexqw?si=XB19MCCECAggcB18

8. Basic DevOps

8.1. Learn to Use AWS & Deploy Java Apps

https://youtube.com/playlist?list=PLVz2XdJiJQxxurKT1Dqz6rmiMuZNdClqv&si=bJyg0Np11PkGDIKO

8.2. Learn Basic Docker:

https://youtu.be/p28piYY_wv8?si=Xoqje7MJad1NeE9g

8.3. Learn Basic Kubernetes:

https://youtu.be/rTNR7vDQDD8?si=dgzwxQof7yGHUP4n

8.4. Deploy Spring Boot App on Kubernetes:

https://youtu.be/EZolJ4lNiYc?si=Kw09qKwMp_LxHTvw

9. Basic of git and GitHub
https://youtu.be/apGV9Kg7ics?si=MHtCgD8o7XqpU4W3

10. Java Microservices

https://youtu.be/tuJqH3AV0e8?si=1jjrWl4l4uYGrE5i

14. Java Quick revision for Interviews

https://youtu.be/oYXivKMSEqM?si=tngbZrvgbAwsShEb

15. Spring JMS(java messaging services)

JMS is a standard Java API that allows a Java application to send messages to another application.

https://youtube.com/playlist?list=PLmCsXDGbJHdibOx6axScPiuHA8ftsrmut&si=J0qjBSbB4GDCeTOv

𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 Resources/Notes: https://t.me/udacityfreecourse

Java interview questions along with brief answers

1. What is the difference between == and .equals() in Java?
- == compares object references, while .equals() compares the content of objects.

2. Explain the difference between ArrayList and LinkedList.
- ArrayList uses a dynamic array to store elements, providing fast random access. LinkedList uses a doubly-linked list, offering efficient insertion and deletion.

3. What is the significance of the static keyword in Java?
- The static keyword is used to create variables and methods that belong to the class rather than instances of the class. These can be accessed without creating an object.

4. What is the difference between an abstract class and an interface?
- An abstract class can have both abstract (unimplemented) and concrete (implemented) methods, while an interface can only have abstract methods. A class can implement multiple interfaces, but it can extend only one abstract class.

5. What is the purpose of the finally block in exception handling?
- The finally block is used to ensure that a specific block of code is always executed, regardless of whether an exception is thrown or not.

6. Explain the concept of multithreading in Java.
- Multithreading is the concurrent execution of two or more threads. Threads allow programs to run tasks in parallel, improving performance. In Java, you can create threads by extending the Thread class or implementing the Runnable interface.

7. What is the NullPointerException and how can it be avoided?
- NullPointerException occurs when you try to access a method or field of an object that is null. To avoid it, ensure that objects are properly initialized before accessing their members.

8. How does garbage collection work in Java?
- Garbage collection is the process of automatically reclaiming memory occupied by unreferenced objects. Java uses a garbage collector to identify and delete objects that are no longer reachable.

9. Explain the final keyword in Java.
- The final keyword can be applied to variables, methods, and classes. When applied to a variable, it means the variable's value cannot be changed. When applied to a method, it prevents method overriding. When applied to a class, it prevents the class from being subclassed.

10. What is the Java Virtual Machine (JVM)?
- JVM is a virtual machine that executes Java bytecode. It abstracts the hardware and operating system details, allowing Java programs to run on any device with a compatible JVM.

These questions cover a range of Java concepts commonly discussed in interviews. Be prepared to elaborate on your answers and provide examples if requested during an interview.

Top 40 commonly asked DSA questions :

𝗔𝗿𝗿𝗮𝘆𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀:
1. Find the missing number in an array of integers.
2. Implement an algorithm to rotate an array.
3. Check if a string is a palindrome.
4. Find the first non-repeating character in a string.
5. Implement an algorithm to reverse a linked list.
6. Merge two sorted arrays.
7. Implement a stack using arrays/linked list.
8. Write a program to remove duplicates from a sorted array.

𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀:
1. Detect a cycle in a linked list.
2. Find the intersection point of two linked lists.
3. Reverse a linked list in groups of k.
4. Implement a function to add two numbers represented by linked lists.
5. Clone a linked list with next and random pointer.

𝗧𝗿𝗲𝗲𝘀 𝗮𝗻𝗱 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗧𝗿𝗲𝗲𝘀 (𝗕𝗦𝗧):
1. Find the height of a binary tree.
2. Check if a binary tree is balanced.
3. Find the lowest common ancestor in a binary tree.
4. Serialize and deserialize a binary tree.
5. Implement an algorithm for in-order traversal without recursion.
6. Convert a BST to a sorted doubly linked list.

You can check these amazing resources for DSA Preparation

All the best 👍👍

🔟 Python resources to boost your resume in 2023

𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻
This a great course to get started with learning Python, if you have no coding experience.
👉 https://kaggle.com/learn/intro-to-programming

𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲
Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science.
👉 https://kaggle.com/learn/python

𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻
Part 1 prepares you for PCEP – Certified Entry-Level Python Programmer Certification.
Part 2 prepares you for PCAP – Certified Associate in Python Programming Certification.
👉 https://netacad.com/courses/programming/pcap-programming-essentials-python

𝟰. Python Data Structure and Algorithms
👉 https://t.me/programming_guide/76

𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
You'll learn Python fundamentals like variables, loops, conditionals, and functions.
Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization.
👉 https://freecodecamp.org/learn/scientific-computing-with-python/

𝟲. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
You'll learn how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
👉 https://freecodecamp.org/learn/data-analysis-with-python/

𝟳. 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
You will learn how to implement the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
👉 https://cognitiveclass.ai/courses/data-visualization-python#about-course

𝟴. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
You will build several neural networks and explore more advanced techniques like natural language processing and reinforcement learning.
👉 https://freecodecamp.org/learn/machine-learning-with-python/

9. Practice Python
👉 https://learnpython.org/

10. Free Python course by datacamp
👉 https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1

ENJOY LEARNING 👍👍

Essential Tools, Frameworks, & Concepts in Java Programming

1. Core Java Concepts:

Object-Oriented Programming (OOP)

Exception Handling

Multithreading

Collections Framework

Generics

Java I/O (Input/Output)

Lambda Expressions and Streams (Java 8 and beyond)


2. Java Frameworks:

Spring Framework: Comprehensive framework for enterprise applications.

Hibernate: ORM (Object Relational Mapping) framework.

Apache Struts: For building web applications.

Play Framework: Lightweight and reactive web application framework.


3. Build Tools:

Maven

Gradle


4. Java Testing Frameworks:

JUnit

TestNG


5. Web Development with Java:

Servlets and JSP (Java Server Pages)

Spring MVC

Thymeleaf


6. Java for Microservices:

Spring Boot

Spring Cloud

Quarkus


7. Database Integration:

JDBC (Java Database Connectivity)

JPA (Java Persistence API)


8. IDEs for Java Development:

IntelliJ IDEA

Eclipse

NetBeans


9. Advanced Concepts:

JVM (Java Virtual Machine) Internals

Garbage Collection

Memory Management

Reflection API


10. Java for Cloud and Distributed Systems:

Apache Kafka

Apache Hadoop

Kubernetes (with Java apps)


11. Networking in Java:

Sockets and ServerSockets

RMI (Remote Method Invocation)


12. Popular Java Libraries:

Apache Commons

Google Guava

Jackson (for JSON parsing)


13. Java for Android Development:

Android Studio

Java SDK


Free books and courses to learn Java👇👇

https://imp.i115008.net/QOz50M

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https://imp.i115008.net/Jrjo1R

https://bit.ly/3BSHP5S

https://t.me/Java_Programming_Notes

https://introcs.cs.princeton.edu/java/11cheatsheet/

Join @free4unow_backup for more free courses

ENJOY LEARNING👍👍

Soft skills questions will be part of your next data job interview!

Here is what you should prepare for:

1. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Be ready to discuss how you explain complex data insights to non-technical stakeholders.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“How do you ensure that your data insights are understood and get used by non-technical stakeholders?”

2. 𝗧𝗲𝗮𝗺 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Show your ability to work well with others.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“Can you talk about a time when you had to manage a conflict within a team? How did you resolve it?”

3. 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴: Highlight your critical thinking and problem-solving skills.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“Describe a situation where you had to make a quick decision based on incomplete data. What was the outcome?”

4. 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Demonstrate your flexibility and openness to change.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“How do you handle sudden changes in project priorities or scope?”

5. 𝗧𝗶𝗺𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Prove your ability to manage multiple tasks and deadlines.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“Tell me about a time when you were under tight deadlines. How did you manage to meet them?”

6. 𝗘𝗺𝗽𝗮𝘁𝗵𝘆 𝗮𝗻𝗱 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴: Show your ability to understand stakeholder needs.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯:
“How do you approach understanding the needs of different stakeholders when starting a new project?”


Structure your answers using the STAR method (Situation, Task, Action, Result). This helps you provide clear and concise responses that highlight your skills.

By preparing for these soft skills questions, you’ll demonstrate that you’re not just technically fit, but also a well-rounded professional ready to make an impact on the business.

You can find useful tips to improve your soft skills here: 👇 https://t.me/englishlearnerspro/