Adani Group Data Engineer Interview Questions, Process, and Tips

Q1. SQL MongoDB Postgress MySQL
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Q2. What is MySQL and its responsibilities?
Ans. 
MySQL is a popular open-source relational database management system.
• MySQL is used for storing and managing data in a structured format.

• It allows users to create, read, update, and delete data using SQL queries.

• MySQL is commonly used in web applications to store user information, product data, and more.

• It supports features like transactions, indexing, and replication for data consistency and reliability.
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Q3. What is SQL and its main role as db engg.?
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SQL is a programming language used for managing and querying relational databases.
• SQL stands for Structured Query Language

• Main role is to interact with databases by querying, updating, and managing data

• Used to create, retrieve, update, and delete data in relational databases

• Allows for data manipulation, data definition, and data control operations

• Examples include SELECT, INSERT, UPDATE, DELETE statements
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Q4. What is mongoDB ?
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mongoDB is a popular NoSQL database management system.
• NoSQL database

• Document-oriented

• Scalable and flexible

• Supports dynamic schemas

• Used for handling large volumes of data
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Q5. What is postgress?
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PostgreSQL is an open-source relational database management system known for its robustness and extensibility.
• PostgreSQL is commonly referred to as Postgres.

• It is known for its ACID compliance, extensibility, and support for various data types.

• PostgreSQL supports SQL and JSON querying, as well as various programming languages for stored procedures.

• It is widely used in enterprise applications and web development.

• Example...read more
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There are more the 10 people in the group discussion round i was selected one of them

Q1. They asked about azure data factory, azure databricks, azure technology
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Q2. What is azure data factory
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Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
• Azure Data Factory is used to move and transform data from various sources to destinations.

• It supports data integration and orchestration of workflows.

• You can create data pipelines using a visual interface or code.

• It integrates with various data sources like Azure Blob Storage, SQL Database, and m
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Q1. They asked about my college project
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