Intellewings Fullstack Developer Intern Interview Questions, Process, and Tips

First round was coding as well as some technical questions of DBMS. Question level was medium to hard.

Project was assigned using HTML, CSS, JS, React and MySql

Q1. Last round was technical interview round. Questions from webD, Sql, DSA was asked.
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Q2. What is redux in react?
Ans. 
Redux is a predictable state container for JavaScript apps.
• Redux is a state management tool commonly used with React.

• It helps in managing the state of the application in a predictable way.

• Redux stores the entire state of the application in a single immutable state tree.

• Actions are dispatched to update the state, and reducers specify how the state changes in response to actions.

• Redux is commonly used for larger applicat
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Q3. Difference between == and ===
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The difference between == and === is that == checks for equality after type coercion, while === checks for equality without type coercion.
• == is a loose equality comparison, allowing for type coercion (e.g. '1' == 1 is true)

• === is a strict equality comparison, requiring both value and type to be the same (e.g. '1' === 1 is false)
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Q4. What is transactions and limits in sql?
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Transactions in SQL are a way to ensure data integrity by grouping multiple SQL statements into a single unit of work.
• Transactions help maintain the ACID properties of a database (Atomicity, Consistency, Isolation, Durability).

• They allow multiple SQL statements to be executed as a single unit, either all succeeding or all failing.

• Limits in SQL refer to constraints set on the amount of data that can be stored or process...read more
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Q5. What is Hashmap and its time complexity?
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Hashmap is a data structure that stores key-value pairs and provides constant time complexity for insertion, deletion, and retrieval.
• Hashmap is also known as dictionary, associative array, or hash table.

• It uses a hash function to map keys to their corresponding values in an array.

• Time complexity for insertion, deletion, and retrieval is O(1) on average, but can be O(n) in worst case scenarios.

• Example: HashMapread more
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