update

Author: luohua13

docs/en/kuberay/how_to/rayjob.mdx

@@ -36,7 +36,7 @@ For more details, refer to [RayJob Quickstart](https://docs.ray.io/en/latest/clu
 
 ### Step-by-Step Instructions
 
-### Step 1: Install a RayJob
+#### Step 1: Install a RayJob
 
 Create a file named `rayjob.yaml` with the following content:
 ```yaml
@@ -153,7 +153,7 @@ kubectl apply -f rayjob.yaml
 ```
 
 
-### Step 2: Verify the Kubernetes cluster status
+#### Step 2: Verify the Kubernetes cluster status
 
 ```bash
 # Step 2.1: List all RayJob custom resources in the `default` namespace.
@@ -195,7 +195,7 @@ the entrypoint is python `/home/ray/samples/sample_code.py`, and `sample_code.py
 mounted to the head Pod of the RayCluster. Because the default value of `shutdownAfterJobFinishes` is false,
 the KubeRay operator doesn't delete the RayCluster or the submitter when the Ray job finishes.
 
-### Step 3: Check the output of the Ray job
+#### Step 3: Check the output of the Ray job
 
 ```bash
 kubectl logs -l=job-name=rayjob-sample
@@ -214,7 +214,7 @@ kubectl logs -l=job-name=rayjob-sample
 ```
 The Python script `sample_code.py` used by `entrypoint` is a simple Ray script that executes a counter's increment function 5 times.
 
-### Step 4: Clean Up
+#### Step 4: Clean Up
 
 ```bash
 kubectl delete -f rayjob.yaml

docs/en/kuberay/how_to/rayservice.mdx

@@ -227,7 +227,7 @@ curl -X POST -H 'Content-Type: application/json' rayservice-sample-serve-svc:800
 # [Expected output]: "15 pizzas please!"
 ```
 
-### Step 5: Clean Up
+#### Step 5: Clean Up
 
 ```bash
 kubectl delete -f rayservice.yaml