Update faq/data-lab.mdx

Co-authored-by: Rowena Jones <[email protected]>

Author: SamyOubouaziz

faq/data-lab.mdx

@@ -42,7 +42,7 @@ Distributed Data Lab is billed based on two factors:
 
 Yes, you can upscale a Data Lab cluster to distribute your workloads across more 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.
+You can still access the notebook of a Data Lab cluster with zero worker nodes, but you cannot perform any calculations. You can resume the activity of your cluster by provisioning at least one worker node.
 
 ### Can I run a Distributed Data Lab using GPUs?