Question
You have an Azure Databricks workspace that contains a cluster named Cluster1.
Cluster1 has the following characteristics:
- Configured as a single node cluster
- Uses a general purpose virtual machine node type
The cluster runtime environment has the following configurations:
- Uses Databricks Runtime for Machine Learning (Databricks Runtime ML)
- Includes common machine learning libraries
- Supports Python workloads
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Explanation
Statement 1 (No): GPU compute requires the worker type to be a GPU instance type, and Cluster1 uses a general purpose virtual machine that has no GPU. Using Databricks Runtime ML does not add GPU hardware.
Statement 2 (No): A single node cluster has a driver that acts as both master and worker, with no worker nodes, and it runs Spark locally. It is intended for non-distributed workloads, and it cannot be converted to a multi-node cluster.
Statement 3 (Yes): Databricks Runtime ML comes with common machine learning libraries preinstalled, and the cluster supports Python. Such workloads run on the single node without any extra library installation.
