Databricks Interview Questions

What is Databricks?
Databricks is a cloud-based platform designed for big data analytics. It provides an integrated environment for data science, data engineering, and machine learning.
How does Databricks integrate with Azure?
Databricks is optimized for the Azure cloud platform, allowing seamless integration with Azure services and the ability to leverage open-source libraries.
What is a DBU in the context of Databricks?
DBU stands for Databricks Unit, which is a unit of processing capability per hour, billed on a per-second usage.
Can you explain the difference between Azure Databricks and Databricks?
Azure Databricks is a collaboration between Microsoft and Databricks to offer an optimized version of the platform for Azure, including integration with Azure services and additional features like enterprise-grade security.
What are the benefits of using Azure Databricks?
Benefits include streamlined workflows, collaborative workspaces, integrated data processing, and advanced analytics capabilities, leading to increased productivity and reduced costs.
Is it possible to use Databricks with Azure Notebooks?
Yes, Databricks can be used with Azure Notebooks, but data transmission to the cluster needs to be coded manually unless using Databricks Connect for integration.
What types of clusters are available in Azure Databricks?
Azure Databricks offers several types of clusters, such as Interactive, Job, Low-priority, and High-priority clusters, each serving different purposes and workloads.
What is caching in Databricks?
Caching in Databricks refers to storing data in memory to improve the speed of data retrieval and processing.
Is it advisable to clear the cache in Databricks?
Clearing the cache can be beneficial when the cached data is no longer needed, as it frees up memory resources.
What is autoscaling in Databricks?
Autoscaling is a feature that automatically adjusts the number of nodes in a cluster based on the workload, ensuring efficient resource utilization.