Add docs for continuous block in the databricks_job resource

docs/resources/cluster.md

@@ -342,7 +342,7 @@ resource "databricks_cluster" "this" {
 
 The following options are available:
 
-* `zone_id` - (Required) Identifier for the availability zone/datacenter in which the cluster resides. This string will be of a form like `us-west-2a`. The provided availability zone must be in the same region as the Databricks deployment. For example, `us-west-2a` is not a valid zone ID if the Databricks deployment resides in the `us-east-1` region. Enable automatic availability zone selection (“Auto-AZ”), by setting the value `auto`. Databricks selects the AZ based on available IPs in the workspace subnets and retries in other availability zones if AWS returns insufficient capacity errors.
+* `zone_id` - (Required) Identifier for the availability zone/datacenter in which the cluster resides. This string will be of a form like `us-west-2a`. The provided availability zone must be in the same region as the Databricks deployment. For example, `us-west-2a` is not a valid zone ID if the Databricks deployment resides in the `us-east-1` region. Enable automatic availability zone selection ("Auto-AZ"), by setting the value `auto`. Databricks selects the AZ based on available IPs in the workspace subnets and retries in other availability zones if AWS returns insufficient capacity errors.
 * `availability` - (Optional) Availability type used for all subsequent nodes past the `first_on_demand` ones. Valid values are `SPOT`, `SPOT_WITH_FALLBACK` and `ON_DEMAND`. Note: If `first_on_demand` is zero, this availability type will be used for the entire cluster. Backend default value is `SPOT_WITH_FALLBACK` and could change in the future
 * `first_on_demand` - (Optional) The first `first_on_demand` nodes of the cluster will be placed on on-demand instances. If this value is greater than 0, the cluster driver node will be placed on an on-demand instance. If this value is greater than or equal to the current cluster size, all nodes will be placed on on-demand instances. If this value is less than the current cluster size, `first_on_demand` nodes will be placed on on-demand instances, and the remainder will be placed on availability instances. This value does not affect cluster size and cannot be mutated over the lifetime of a cluster. Backend default value is `1` and could change in the future
 * `spot_bid_price_percent` - (Optional) The max price for AWS spot instances, as a percentage of the corresponding instance type’s on-demand price. For example, if this field is set to 50, and the cluster needs a new `i3.xlarge` spot instance, then the max price is half of the price of on-demand `i3.xlarge` instances. Similarly, if this field is set to 200, the max price is twice the price of on-demand `i3.xlarge` instances. If not specified, the default value is `100`. When spot instances are requested for this cluster, only spot instances whose max price percentage matches this field will be considered. For safety, we enforce this field to be no more than `10000`.

docs/resources/cluster_policy.md

@@ -20,7 +20,7 @@ Cluster policy permissions limit which policies a user can select in the Policy
 
 ## Example Usage
 
-Let us take a look at an example of how you can manage two teams: Marketing and Data Engineering. In the following scenario we want the marketing team to have a really good query experience, so we enabled delta cache for them. On the other hand we want the data engineering team to be able to utilize bigger clusters so we increased the dbus per hour that they can spend. This strategy allows your marketing users and data engineering users to use Databricks in a self service manner but have a different experience in regards to security and performance. And down the line if you need to add more global settings you can propagate them through the “base [cluster](cluster.md) policy”.
+Let us take a look at an example of how you can manage two teams: Marketing and Data Engineering. In the following scenario we want the marketing team to have a really good query experience, so we enabled delta cache for them. On the other hand we want the data engineering team to be able to utilize bigger clusters so we increased the dbus per hour that they can spend. This strategy allows your marketing users and data engineering users to use Databricks in a self service manner but have a different experience in regards to security and performance. And down the line if you need to add more global settings you can propagate them through the "base [cluster](cluster.md) policy".
 
 `modules/base-cluster-policy/main.tf` could look like:
 

docs/resources/instance_profile.md

@@ -153,7 +153,7 @@ The following arguments are supported:
 * `instance_profile_arn` - (Required) `ARN` attribute of `aws_iam_instance_profile` output, the EC2 instance profile association to AWS IAM role. This ARN would be validated upon resource creation.
 * `iam_role_arn` - (Optional) The AWS IAM role ARN of the role associated with the instance profile. It must have the form `arn:aws:iam::<account-id>:role/<name>`. This field is required if your role name and instance profile name do not match and you want to use the instance profile with Databricks SQL Serverless.
 * `is_meta_instance_profile` - (Optional) Whether the instance profile is a meta instance profile. Used only in [IAM credential passthrough](https://docs.databricks.com/security/credential-passthrough/iam-passthrough.html).
-* `skip_validation` - (Optional) **For advanced usage only.** If validation fails with an error message that does not indicate an IAM related permission issue, (e.g. “Your requested instance type is not supported in your requested availability zone”), you can pass this flag to skip the validation and forcibly add the instance profile.
+* `skip_validation` - (Optional) **For advanced usage only.** If validation fails with an error message that does not indicate an IAM related permission issue, (e.g. "Your requested instance type is not supported in your requested availability zone"), you can pass this flag to skip the validation and forcibly add the instance profile.
 
 ## Attribute Reference
 

docs/resources/job.md

@@ -101,7 +101,11 @@ The following arguments are required:
 
 * `quartz_cron_expression` - (Required) A [Cron expression using Quartz syntax](http://www.quartz-scheduler.org/documentation/quartz-2.3.0/tutorials/crontrigger.html) that describes the schedule for a job. This field is required.
 * `timezone_id` - (Required) A Java timezone ID. The schedule for a job will be resolved with respect to this timezone. See Java TimeZone for details. This field is required.
-* `pause_status` - (Optional) Indicate whether this schedule is paused or not. Either “PAUSED” or “UNPAUSED”. When the pause_status field is omitted and a schedule is provided, the server will default to using "UNPAUSED" as a value for pause_status.
+* `pause_status` - (Optional) Indicate whether this schedule is paused or not. Either `PAUSED` or `UNPAUSED`. When the `pause_status` field is omitted and a schedule is provided, the server will default to using `UNPAUSED` as a value for `pause_status`.
+
+### continuous Configuration Block
+
+* `pause_status` - (Optional) Indicate whether this continuous job is paused or not. Either `PAUSED` or `UNPAUSED`. When the `pause_status` field is omitted in the block, the server will default to using `UNPAUSED` as a value for `pause_status`.
 
 ### git_source Configuration Block