Master Azure Data Engineer

  1. What is Azure Data Factory, and what’s it used for?     Answer: Azure Data Factory (ADF) is a cloud-based data integration service that enables you to create, schedule, and orchestrate data workflows, making it essential for ETL processes across various data sources.     2. Explain Azure Synapse Analytics and how it differs from Azure SQL Database.     Answer: Azure Synapse Analytics is an analytics service for big data and data warehousing. It handles massive analytical workloads, whereas Azure SQL Database is more optimized for transactional (OLTP) workloads.     3. What are Azure Databricks, and why are they popular?    Answer: Azure Databricks is a Spark-based analytics platform optimized for Azure, known for simplifying Spark jobs and its seamless integration with Azure services like Data Lake.     4. Can you explain the role of Azure Data Lake Storage?     Answer: Azure Data L...

    1. What is Databricks, and how is it different from Apache Spark?    Answer: Databricks is a cloud-based data platform built on Apache Spark. It offers collaborative workspaces, managed Spark clusters, and other features like MLflow and Delta Lake that enhance data engineering, machine learning, and analytics workflows.     2. Explain the architecture of Databricks.    Answer: Databricks has a multi-layered architecture with a control plane and a data plane. The control plane manages metadata, job scheduling, and cluster configurations, while the data plane executes data processing tasks on cloud infrastructure (e.g., AWS, Azure).     3. What is a Databricks notebook, and what are its main features?    Answer: A Databricks notebook is an interactive workspace where users can write, run, and visualize code in languages like SQL, Python, Scala, and R. It supports collaboration, visualization, version contro...

    1. What are the differences between `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, and `FULL JOIN`?    Answer:    - `INNER JOIN` returns records with matching values in both tables.    - `LEFT JOIN` returns all records from the left table and matches records from the right table.    - `RIGHT JOIN` returns all records from the right table and matches records from the left table.    - `FULL JOIN` returns all records when there is a match in either left or right table.     2. Explain `GROUP BY` and `HAVING`. How do they differ?    Answer: `GROUP BY` groups rows with the same values in specified columns, while `HAVING` is used to filter records that aggregate results meet a certain condition. Unlike `WHERE`, `HAVING` works with aggregated data.     3. What’s the difference between `WHERE` and `HAVING`?    Answer: `WHERE` filters rows before any aggregation, while `HAVI...