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𝐆𝐨𝐨𝐠𝐥𝐞 𝐢𝐬 𝐨𝐟𝐟𝐞𝐫𝐢𝐧𝐠 𝐚 𝐏𝐚𝐢𝐝 𝐖𝐢𝐧𝐭𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩😍

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Location:- Bangalore/Hyderabad

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Winter internships will start in January 2025 and will be 22-24 weeks in duration

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𝐖𝐨𝐫𝐤 𝐅𝐫𝐨𝐦 𝐇𝐨𝐦𝐞 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 𝐚𝐧𝐝 𝐉𝐨𝐛𝐬 𝟐𝟎𝟐𝟒

Top MNCs Hiring:- Amazon, Hike, Zoom, Bentley Systems

Role :- Multiple Roles 

Qualification:- Graduate/Post Graduate 

Salary Package:- 5 LPA To 30 LPA

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Roles:- Software& Application Engineering Interns

Qualification:- Currently pursuing a Bachelor’s /Masters degree

Salary :- Upto 1Lakh/Month

Location :- Hyderabad ,Bangalore 

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Commonly asked SQL interview questions, along with brief explanations for each:

1) What is SQL?

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

It allows you to perform tasks such as querying data, updating records, and creating and modifying schemas.

2 )What are the different types of SQL statements?

SQL statements are categorized into different types:

- DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE

- DDL (Data Definition Language): CREATE, ALTER, DROP

- DCL (Data Control Language): GRANT, REVOKE

- TCL (Transaction Control Language): COMMIT, ROLLBACK, SAVEPOINT

3) What is a JOIN? Explain the different types of JOINs.

A JOIN is used to combine rows from two or more tables based on a related column.

- INNER JOIN: Returns records with matching values in both tables.

- LEFT (OUTER) JOIN: Returns all records from the left table and matched records from the right table.

- RIGHT (OUTER) JOIN: Returns all records from the right table and matched records from the left table.

- FULL (OUTER) JOIN: Returns all records when there is a match in either left or right table.

4)What is the difference between WHERE and HAVING clauses?

WHERE is used to filter records before any groupings are made, whereas HAVING is used to filter groups or aggregates after the GROUP BY clause has been applied.

5) What is an index? How does it help in database performance?

An index is a database object that improves the speed of data retrieval operations on a table at the cost of additional storage space and slower writes.

It works by creating a data structure (usually a B-tree) that allows the database to find rows more quickly.

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