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

Author: SamyOubouaziz

faq/data-lab.mdx

@@ -25,3 +25,9 @@ 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.
+
+## 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.