Azure Databricks Interview Questions And Answers | Azure Databricks Interview | Intellipaat
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In this YouTube video on Azure Databricks, we aim to show you a comprehensive set of interview questions that provide a valuable resource for aspiring candidates looking to secure a job in the field of data engineering and analytics. By watching this video and actively engaging with the interview questions discussed, viewers can gain a comprehensive understanding of the key concepts and skills required for success in Databricks interviews.
✅What is Databricks used for in Azure?
Azure Databricks is a fully managed first-party service for creating an open data lakehouse in Azure. Light up a range of analytical workloads rapidly with a lakehouse built on top of an open data lake, enabling common governance throughout your whole data estate.
✅How to prepare for a Databricks interview?
To prepare for a Databricks interview, focus on the following areas. Familiarize yourself with the Databricks platform and its key components. Gain expertise in Apache Spark, including concepts like RDDs, DataFrames, and Spark SQL. Understand distributed computing and parallel processing. Practice coding in Python or Scala, as Databricks primarily supports these languages. Be prepared to showcase your experience in data processing, data engineering, and working with big data technologies. Review common interview questions related to Spark, data pipelines, optimization techniques, and cloud-based data platforms like Azure or AWS.
✅Is a Databricks interview tough?
Hiring at Databricks entails advancing through multiple rounds of technical and soft-skill interviews. The procedure is difficult for those who are unprepared. But if you are well prepared and have gone through a complete set of questions like ours, landing a job will not be tough.
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