Answer: D A) Standard Cluster: This mode is used for general-purpose workloads and provides the ability to scale the cluster resources based on the workload requirements. Standard clusters can be configured with multiple worker nodes to handle large-scale data processing tasks. B) High Concurrency Cluster: This mode is optimized for scenarios where multiple users or applications need to share the same cluster resources. It dynamically allocates resources among different users based on demand, allowing for efficient execution of concurrent workloads. C) Single Node Cluster: This mode is a lightweight option that consists of a single worker node. It is suitable for development, testing, or scenarios where a small amount of data needs to be processed. These cluster modes provide flexibility and scalability to meet different use cases and workload requirements in Azure Databricks.
1 year ago | 0
Cloudpandith
Q) What are the different types of cluster modes in Azure Databricks?
1 year ago | [YT] | 0