💻 Want to Clear Your Next Java Developer Interview?
Prepare these topics to ace your next Java interview! 🚀
𝐓𝐨𝐩𝐢𝐜 𝟏: 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐅𝐥𝐨𝐰 𝐚𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞
🔹 Describe your project and its architecture.
🔹 Challenges faced and your role in the project.
🔹 Tech stack used and the reasoning behind it.
🔹 Problem-solving, collaboration, and lessons learned.
🔹 Reflect on what you'd do differently.
𝐓𝐨𝐩𝐢𝐜 𝟐: 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚
🔹 String concepts (hashcode, equals).
🔹 Immutability, OOPS concepts.
🔹 Serialization, Collection Framework.
🔹 Exception handling, multithreading.
🔹 Java Memory Model, garbage collection.
𝐓𝐨𝐩𝐢𝐜 𝟑: 𝐉𝐚𝐯𝐚 𝟖/𝟏𝟏/𝟏𝟕 Features
🔹 Java 8 features: Lambda expressions, Stream API, Optional API.
🔹 Functional interfaces, default/static methods.
🔹 Pattern matching, text blocks, modules.
𝐓𝐨𝐩𝐢𝐜 𝟒: 𝐒𝐩𝐫𝐢𝐧𝐠 & 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
🔹 Dependency Injection, IOC, Spring MVC.
🔹 Bean lifecycle, scopes, profiles.
🔹 REST API, CRUD, AOP, Exception handling.
🔹 JWT, OAuth, actuators, WebFlux.
🔹 Microservices, Spring Cloud, JPA.
𝐓𝐨𝐩𝐢𝐜 𝟓: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 (𝐒𝐐𝐋/𝐍𝐨𝐒𝐐𝐋)
🔹 JPA repositories, entity relationships.
🔹 SQL queries (e.g., Nth highest salary).
🔹 Relational and non-relational DB concepts.
🔹 Joins, indexing, stored procedures.
𝐓𝐨𝐩𝐢𝐜 𝟔: 𝐂𝐨𝐝𝐢𝐧𝐠
🔹 DSA-based questions.
🔹 Sorting/searching with Java APIs.
🔹 Stream API coding questions.
𝐓𝐨𝐩𝐢𝐜 𝟕: 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
🔹 Familiarize yourself with tools like Jenkins, Kubernetes, Kafka, and cloud technologies.
𝐓𝐨𝐩𝐢𝐜 𝟖: 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬
🔹 Master design patterns like singleton, factory, observer, etc.
✨ Nail your interview with confidence! ✨
#JavaInterview #JavaDeveloper
Prepare these topics to ace your next Java interview! 🚀
𝐓𝐨𝐩𝐢𝐜 𝟏: 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐅𝐥𝐨𝐰 𝐚𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞
🔹 Describe your project and its architecture.
🔹 Challenges faced and your role in the project.
🔹 Tech stack used and the reasoning behind it.
🔹 Problem-solving, collaboration, and lessons learned.
🔹 Reflect on what you'd do differently.
𝐓𝐨𝐩𝐢𝐜 𝟐: 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚
🔹 String concepts (hashcode, equals).
🔹 Immutability, OOPS concepts.
🔹 Serialization, Collection Framework.
🔹 Exception handling, multithreading.
🔹 Java Memory Model, garbage collection.
𝐓𝐨𝐩𝐢𝐜 𝟑: 𝐉𝐚𝐯𝐚 𝟖/𝟏𝟏/𝟏𝟕 Features
🔹 Java 8 features: Lambda expressions, Stream API, Optional API.
🔹 Functional interfaces, default/static methods.
🔹 Pattern matching, text blocks, modules.
𝐓𝐨𝐩𝐢𝐜 𝟒: 𝐒𝐩𝐫𝐢𝐧𝐠 & 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭
🔹 Dependency Injection, IOC, Spring MVC.
🔹 Bean lifecycle, scopes, profiles.
🔹 REST API, CRUD, AOP, Exception handling.
🔹 JWT, OAuth, actuators, WebFlux.
🔹 Microservices, Spring Cloud, JPA.
𝐓𝐨𝐩𝐢𝐜 𝟓: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 (𝐒𝐐𝐋/𝐍𝐨𝐒𝐐𝐋)
🔹 JPA repositories, entity relationships.
🔹 SQL queries (e.g., Nth highest salary).
🔹 Relational and non-relational DB concepts.
🔹 Joins, indexing, stored procedures.
𝐓𝐨𝐩𝐢𝐜 𝟔: 𝐂𝐨𝐝𝐢𝐧𝐠
🔹 DSA-based questions.
🔹 Sorting/searching with Java APIs.
🔹 Stream API coding questions.
𝐓𝐨𝐩𝐢𝐜 𝟕: 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
🔹 Familiarize yourself with tools like Jenkins, Kubernetes, Kafka, and cloud technologies.
𝐓𝐨𝐩𝐢𝐜 𝟖: 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬
🔹 Master design patterns like singleton, factory, observer, etc.
✨ Nail your interview with confidence! ✨
#JavaInterview #JavaDeveloper
👍4❤2
📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
The process of building a stock price prediction model using Python.
1. Import required modules
2. Obtaining historical data on stock prices
3. Selection of features.
4. Definition of features and target variable
5. Preparing data for training
6. Separation of data into training and test sets
7. Building and training the model
8. Making forecasts
9. Trading Strategy Testing
👍5
Software development is complex, and the fancy names don't help.
Hashing vs. Encryption vs. Encoding
𝗛𝗮𝘀𝗵𝗶𝗻𝗴
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
• Base64
• UTF-8
• ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
Hashing vs. Encryption vs. Encoding
𝗛𝗮𝘀𝗵𝗶𝗻𝗴
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
• Base64
• UTF-8
• ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
👍8❤5
Top 5 Powerful Python Functions Every Developer Should Know
👇👇
https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
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https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
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1. Web Development ➝
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2. CSS ➝
◀️ http://css-tricks.com
3. JavaScript ➝
◀️ http://t.me/javanoscript_courses
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16. Generative AI➝
◀️ https://news.1rj.ru/str/generativeai_gpt
17. App Development ➝
◀️ https://news.1rj.ru/str/appsuser
18. Power BI ➝
◀️ https://news.1rj.ru/str/powerbi_analyst
19. Tableau ➝
◀️ https://www.tableau.com/learn/training
20. Machine Learning ➝
◀️ http://developers.google.com/machine-learning/crash-course
21. Artificial intelligence ➝
◀️ http://t.me/machinelearning_deeplearning/
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◀️ https://medium.com/@data_analyst
◀️ https://www.linkedin.com/company/sql-analysts
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◀️ http://learn.microsoft.com/shows/java-for-beginners/
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◀️ https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019
25. Data Structures ➝
◀️ https://leetcode.com/study-plan/data-structure/
26. Cybersecurity ➝
◀️ https://news.1rj.ru/str/EthicalHackingToday
27. Linux ➝
◀️ https://bit.ly/3KhPdf1
◀️ https://training.linuxfoundation.org/resources/
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◀️ http://learn.microsoft.com/training/paths/build-javanoscript-applications-typenoscript/
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◀️ http://introtodeeplearning.com
30. Compiler Design ➝
◀️ http://online.stanford.edu/courses/soe-ycscs1-compilers
31. DSA ➝
◀️ http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/
32. Prompt Engineering ➝
◀️ https://www.promptingguide.ai/
◀️ https://news.1rj.ru/str/aiindi
Join @free4unow_backup for more free courses
Like for more ❤️
ENJOY LEARNING👍👍
👍10❤7🔥1