Concept: When working with Azure Databricks, two azure video
dp-100-data-scientist-assoc video for concept: When working with Azure Databricks, two fundamental concepts to understand are workspaces and clusters. A cluster
Full Certification Question
Concept: When working with Azure Databricks, two fundamental concepts to understand are workspaces and clusters. A cluster is a collection of computational resources used to execute code in notebooks or jobs. Clusters can run ETL pipelines, machine learning models, data science, and analytics workloads. Before using a cluster, you must select one of the available runtimes. Databricks runtimes are the core software components that operate on Azure Databricks clusters. Azure Databricks provides multiple runtime types, each optimized for different use cases. Question: Which of the following are valid runtime type options for Azure Databricks clusters? (Choose three.)