docs(DLB): update FAQ/create troubleshooting on cluster scaling MTA-5133 (scaleway#3805)

* docs(DLB): update FAQ/create troubleshooting on cluster scaling MTA-5133

* docs(DLB): update

* docs(DLB): update

* docs(dlb): update faq

* Apply suggestions from code review

Co-authored-by: Jessica <[email protected]>

---------

Co-authored-by: Jessica <[email protected]>

Author: 2 people

faq/data-lab.mdx

@@ -24,4 +24,12 @@ Apache Spark processes data in memory, which allows it to perform tasks up to 10
 
 ## How am I billed for Distributed Data Lab?
 
-During the private beta, Scaleway Distributed Data Lab is free.
+Distributed Data Lab is billed based on two factors:
+- the main node configuration selected
+- the worker node configuration selected, and the number of worker nodes in the cluster
+
+## Can I upscale or downscale a Distributed Data Lab?
+
+Yes, you can upscale a Data Lab cluster to distribute your workloads across a greater number of worker nodes for faster processing. You can also scale it down to zero to reduce costs, while retaining your configuration and context.
+
+You can still access the notebook of a Data Lab cluster with zero worker nodes, but you cannot perform any calculation. You can resume the activity of your cluster by provisioning at least one worker node.

pages/data-lab/how-to/manage-delete-data-lab.mdx

@@ -34,6 +34,10 @@ This page explains how to manage and delete your Distributed Data Lab.
 4. From this view, you can:
 
   - Add, consult, or delete tags for your cluster.
+  - Update the number of worker nodes provisioned for your cluster.
+      <Message type="note">
+      Provisioning zero worker nodes lets you retain and access you cluster and notebook configurations, but will not allow you to run calculations.
+      </Message>
   - [Delete your Data Lab cluster](/data-lab/how-to/manage-delete-data-lab/#how-to-delete-a-distributed-data-lab).
 
 <Message type="note">

pages/data-lab/troubleshooting/cannot-run-data-lab.mdx

@@ -0,0 +1,39 @@
+---
+meta:
+  title: Troubleshooting Distributed Data Lab execution issues
+  description: This page helps you troubleshoot problems when you cannot execute calculations with your Distributed Data Lab cluster
+content:
+  h1: Troubleshooting Distributed Data Lab execution issues
+  paragraph: This page helps you troubleshoot problems when you cannot execute calculations with your Distributed Data Lab cluster
+tags: execution run distributed data-lab worker-node error cannot process issue troubleshooting solution
+dates:
+  validation: 2024-10-08
+  posted: 2024-10-08
+categories:
+  - managed-services
+---
+
+<Macro id="requirements" />
+
+- A Scaleway account logged into the [console](https://console.scaleway.com)
+- [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
+- A [Distributed Data Lab](/data-lab/how-to/create-data-lab/)
+
+## Timeout errors
+
+### Problem
+
+Executing calculations within the notebook returns a timeout error after a few minutes.
+
+### Cause
+
+The Distributed Data Lab cluster has zero worker nodes provisioned and cannot raise any resource to perform the required operations.
+
+### Solution
+
+[Edit your cluster configuration](/data-lab/how-to/manage-delete-data-lab/) by provisioning at least one worker node to be able to run calculations with it.
+
+<Message type="note">
+You can provision zero worker nodes again to retain you cluster and notebook configurations while minimizing its cost.
+</Message>
+