Azure Databricks Interview


        Azure Databricks Interview

Azure Databricks interviews typically assess your knowledge and experience with big data processing, Apache Spark, cloud computing, and data engineering principles. They may cover a wide range of topics, from basic concepts to advanced scenarios.

Types of questions you might encounter:

  • Conceptual questions:
    • What is Azure Databricks, and why is it used?
    • Explain the architecture of Azure Databricks.
    • What are the different types of clusters available in Azure Databricks?
    • What is a notebook in Databricks, and how is it used?
    • How does Databricks integrate with other Azure services?
  • Technical questions:
    • How do you read data from various sources into Databricks?
    • Explain Spark transformations and actions with examples.
    • How do you optimize Spark jobs for performance?
    • What are Delta tables, and what are their advantages?
    • How do you schedule and automate jobs in Databricks?
  • Scenario-based questions:
    • Design a solution for real-time data processing using Databricks.
    • How would you troubleshoot a failing Spark job?
    • Explain your experience with Databricks in a previous project.

How to prepare:

  1. Review the basics: Make sure you have a solid understanding of Apache Spark, big data concepts, and cloud computing fundamentals.
  2. Familiarize yourself with Azure Databricks: Understand its architecture, components, and features. Go through the documentation and tutorials provided by Microsoft.
  3. Practice Spark: Work on Spark projects using Python or Scala. Try out different transformations, actions, and data processing techniques.
  4. Explore Databricks notebooks: Create and run notebooks in Databricks to get hands-on experience. Experiment with different data sources and scenarios.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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