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Quick Recap of SQL Concepts

1. What is SQL?
SQL (Structured Query Language) is a standard programming language used for managing and manipulating relational databases.

2. What are the different types of SQL commands?
- Data Definition Language (DDL): Used to define the structure of database objects (CREATE, ALTER, DROP).
- Data Manipulation Language (DML): Used to manipulate data in the database (SELECT, INSERT, UPDATE, DELETE).
- Data Control Language (DCL): Used to control access and permissions on database objects (GRANT, REVOKE).

3. What is a database schema?
A database schema is a logical structure that represents the layout of the database, including tables, columns, relationships, constraints, and indexes.

4. What is a primary key?
A primary key is a unique identifier for each record in a table. It ensures that each row in the table is uniquely identified and helps maintain data integrity.

5. What is a foreign key?
A foreign key is a column or set of columns in one table that references the primary key in another table. It establishes a relationship between the two tables.

6. What is normalization in SQL?
Normalization is the process of organizing data in a database to reduce redundancy and dependency by dividing large tables into smaller tables and defining relationships between them.

7. What is an index in SQL?
An index is a data structure that improves the speed of data retrieval operations on a database table. It allows for faster searching and sorting of data based on specific columns.

8. What is a JOIN in SQL?
A JOIN is used to combine rows from two or more tables based on a related column between them. Common types of JOINs include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

9. What is a subquery in SQL?
A subquery is a query nested within another query. It allows you to perform complex queries by using the result of one query as input for another query.

10. What is the difference between SQL and NoSQL databases?
- SQL databases are relational databases that store data in structured tables with predefined schemas, while NoSQL databases are non-relational databases that store data in flexible, schema-less formats.
- SQL databases use SQL for querying and manipulating data, while NoSQL databases use various query languages or APIs.
- SQL databases are suitable for complex queries and transactions, while NoSQL databases are better for handling large volumes of unstructured data and scaling horizontally.

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List of most asked Programming Interview Questions.

Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.

Arrays

- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?

Linked Lists

- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?

Strings

- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?

Binary Trees

- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?

Graph

- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.

Dynamic Programming

1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?

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How many times will "Hello" be printed of python code?

a) 1
b) 2
c) 3
d) 4


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Complete Roadmap to Become a Java Developer:

1. Core Java (fundamentals of Java programming language)
2. Maven
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5. Spring Data - JPA, Hibernate (with H2, MySQL, MongoDB and Redis)
6. Testing (JUnit 5, JPA Test, MockMVC, etc.)
7. Spring Security
8. Microservices and Spring Cloud
9. Docker and Kubernetes
10. Deployment of Spring Boot Apps on Cloud (AWS)
11. Optional - Serverless, Batch processing etc
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