Databricks Interview Questions
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- 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.
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