How can I define and apply cluster policies using the Azure Databricks APIs and CLIs?

To define and apply cluster policies using the Azure Databricks APIs and CLIs, follow these general steps:

1. Define the Cluster Policy:
   • Determine the desired configuration settings, permissions, and lifecycle management rules for your cluster policy.
   • Prepare a JSON or YAML file that represents the cluster policy with the necessary parameters and values.
2. Use Azure Databricks APIs:
   • Create a new cluster policy by making a POST request to the /api/2.0/preview/azure/clusters/policies/create endpoint. Provide the required details, including the policy name, description, and the JSON or YAML file containing the policy definition.
   • Retrieve a list of existing cluster policies using a GET request to the /api/2.0/preview/azure/clusters/policies/list endpoint.
   • Update an existing cluster policy by making a PATCH request to the /api/2.0/preview/azure/clusters/policies/edit endpoint, specifying the policy ID and the updated policy definition.
3. Use Azure Databricks CLI:
   • Install and configure the Azure Databricks CLI on your local machine.
   • Use the databricks clusters policy create command to create a new cluster policy, providing the necessary parameters and the path to the JSON or YAML file containing the policy definition.
   • Use the databricks clusters policy list command to retrieve a list of existing cluster policies.
   • Update an existing cluster policy using the databricks clusters policy update command, specifying the policy ID and the updated policy definition.
4. Apply Cluster Policies to Clusters:
   • When creating a cluster, specify the policy_id parameter and provide the ID of the desired cluster policy. This associates the cluster with the defined policy, applying the specified configuration and rules to the cluster.

It’s important to refer to the official Azure Databricks documentation for the exact syntax, parameters, and endpoints to use when working with the APIs and CLIs. The documentation provides detailed examples and guidance on how to interact with Azure Databricks programmatically to define and apply cluster policies.