Clarify that managed endpoints are for v2 only

To avoid confusion

Author: dem108

includes/aml-compute-target-deploy.md

@@ -8,7 +8,7 @@ ms.author: sgilley
 manager: cgronlund
 ms.custom: "include file"
 ms.topic: "include"
-ms.date: 09/30/2022
+ms.date: 03/28/2023
 ---
 
 
@@ -17,7 +17,7 @@ The compute target you use to host your model will affect the cost and availabil
 | Compute target | Used for | GPU support | Description |
 | ----- | ----- | ----- | ----- | 
 | [Local web service](../articles/machine-learning/v1/how-to-deploy-local-container-notebook-vm.md) | Testing/debugging |    | Use for limited testing and troubleshooting. Hardware acceleration depends on use of libraries in the local system. |
-| [Azure Machine Learning endpoints](../articles/machine-learning/concept-endpoints.md) | Real-time inference <br/><br/>Batch&nbsp;inference | Yes |  Fully managed computes for real-time (managed online endpoints) and batch scoring (batch endpoints) on serverless compute. |
+| [Azure Machine Learning endpoints](../articles/machine-learning/concept-endpoints.md) (SDK/CLI v2 only) | Real-time inference <br/><br/>Batch&nbsp;inference | Yes |  Fully managed computes for real-time (managed online endpoints) and batch scoring (batch endpoints) on serverless compute. |
 | [Azure Machine Learning Kubernetes](../articles/machine-learning/how-to-attach-kubernetes-anywhere.md) | Real-time inference <br/><br/> Batch inference | Yes | Run inferencing workloads on on-premises, cloud, and edge Kubernetes clusters. |  
 | [Azure Container Instances](../articles/machine-learning/v1/how-to-deploy-azure-container-instance.md) (SDK/CLI v1 only) | Real-time inference <br/><br/> Recommended for dev/test purposes only.| &nbsp;  | Use for low-scale CPU-based workloads that require less than 48 GB of RAM. Doesn't require you to manage a cluster. <br/><br/> Supported in the designer. |