我正在尝试在Azure中部署一个databricks工作区并创建一个单节点集群。为此，我使用以下Terraform www.example.com文件：main.tf file:

terraform {
  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = "3.55.0"
    }
    databricks = {
      source  = "databricks/databricks"
      version = "1.0.0"
    }
  }
}

# Configure Azure provider
provider "azurerm" {
  features {}
}

# Configure Databricks provider
provider "databricks" {
  host = azurerm_databricks_workspace.databricks_workspace.workspace_url
}

# Create resource group
resource "azurerm_resource_group" "resource_group" {
  name     = var.resource_group_name
  location = var.resource_group_location
}

# Create Databricks workspace
resource "azurerm_databricks_workspace" "databricks_workspace" {
  location            = azurerm_resource_group.resource_group.location
  name                = "databricks-test-001"
  resource_group_name = azurerm_resource_group.resource_group.name
  sku                 = "standard"

  depends_on = [
    azurerm_resource_group.resource_group
  ]
}

# Create cluster
data "databricks_node_type" "smallest" {
  local_disk = true

  depends_on = [
    azurerm_databricks_workspace.databricks_workspace
  ]
}

data "databricks_spark_version" "latest_lts" {
  long_term_support = true

  depends_on = [
    azurerm_databricks_workspace.databricks_workspace
  ]
}

resource "databricks_cluster" "single_node" {
  cluster_name            = "Single Node"
  spark_version           = data.databricks_spark_version.latest_lts.id
  node_type_id            = data.databricks_node_type.smallest.id
  autotermination_minutes = 10

  spark_conf = {
    # Single-node
    "spark.databricks.cluster.profile" : "singleNode"
    "spark.master" : "local[*]"
  }

  custom_tags = {
    "ResourceClass" = "SingleNode"
  }

  depends_on = [
    azurerm_databricks_workspace.databricks_workspace
  ]
}

# Create Notebook
resource "databricks_notebook" "notebook" {
  content_base64 = base64encode("print('Welcome to Databricks-Labs notebook')")
  path           = "/Shared/Demo/demo_example_notebook"
  language       = "PYTHON"

  depends_on = [
    databricks_cluster.single_node,
    azurerm_databricks_workspace.databricks_workspace
  ]
}

当我应用terraform计划时，我得到以下错误：

• 要求：24，（最小）新限额要求：二十四岁在https提交配额增加请求：//aka. ms/ProdportalCRP/#blade/Microsoft_Azure_Capacity/UsageAndQuota。ReactView/Parameters/%7B%22subscriptionId%22：% 22a9f6a84e-aa76 - 4493-ad46 - 7335d8bc7ea5%22，%22命令%22：%22openQuotaApprovalBlade%22，%22quotas%22：[%7B%22位置%22：%22westus%22，%22providerId%22：%22Microsoft.Compute%22，%22resourceName%22：%22StandardNCADSA100v4系列%22，%22quotaRequest%22：%7B%22属性%22：%7B%22limit%22：24，%22unit%22：%22Count%22，%22name%22：%7B%22value%22：%22StandardNCADSA100v4Family%22%7D%7D%7D%7D]%7D，通过指定“详细信息”部分中列出的参数来成功部署。请在https://docs.microsoft.com/en-us/azure/azure-supportability/per-vm-quota-requests databricks_error_message阅读有关配额限制的更多信息：错误代码：QuotaExceeded，错误消息：操作无法完成，因为它导致超出批准的StandardNCADSA100v4系列内核配额。其他详细信息-部署模型：资源经理，位置：westus，电流限制：0、当前使用情况：0，附加要求：24、（最小）新要求限制：二十四岁在https提交配额增加请求：//aka. ms/ProdportalCRP/#blade/Microsoft_Azure_Capacity/UsageAndQuota。ReactView/Parameters/%7B%22subscriptionId%22：% 22a9f6a84e-aa76 - 4493-ad46 - 7335d8bc7ea5%22，%22命令%22：%22openQuotaApprovalBlade%22，%22quotas%22：[%7B%22位置%22：%22westus%22，%22providerId%22：%22Microsoft.Compute%22，%22resourceName%22：%22StandardNCADSA100v4系列%22，%22quotaRequest%22：%7B%22属性%22：%7B%22limit%22：24，%22unit%22：%22Count%22，%22name%22：%7B%22value%22：%22StandardNCADSA100v4Family%22%7D%7D%7D%7D]%7D，通过指定“详细信息”部分中列出的参数来成功部署。请在[https://docs.microsoft.com/en-us/azure/azure-supportability/per-vm-quota-requests]](https://docs.microsoft.com/en-us/azure/azure-supportability/per-vm-quota-requests%5D)阅读更多关于配额限制的信息。请访问www.example.com了解更多详情 * https://docs.databricks.com/dev-tools/api/latest/clusters.html#clusterclusterstate for more details*

我知道配额限制需要增加，我已经提交了一个请求，但被拒绝了。我也尝试在不同的Azure区域进行部署，但由于同样的原因，也没有成功。我不明白的是，为什么如果我转到创建的Databasericks工作区并尝试从那里创建一个单节点集群，它的工作完全没有问题。对我来说，这意味着配额限制可能不是真正的问题。我将感谢任何关于可能是什么问题的建议。