Merge pull request #281571 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)

Author: Taojunshen

articles/azure-cache-for-redis/monitor-cache-reference.md

@@ -4,7 +4,7 @@ description: This article contains important reference material you need when yo
 ms.date: 05/13/2024
 ms.custom: horz-monitor
 ms.topic: reference
-author: robb
+author: rboucher
 ms.author: robb
 ms.service: cache
 ---
@@ -133,7 +133,11 @@ The following list provides details and more information about the supported Azu
 - Sets
   - The number of set operations to the cache during the specified reporting interval. This value is the sum of the following values from the Redis INFO all command: `cmdstat_set`, `cmdstat_hset`, `cmdstat_hmset`, `cmdstat_hsetnx`, `cmdstat_lset`, `cmdstat_mset`, `cmdstat_msetnx`, `cmdstat_setbit`, `cmdstat_setex`, `cmdstat_setrange`, and `cmdstat_setnx`.
 - Total Keys  
-  - The maximum number of keys in the cache during the past reporting time period. This number maps to `keyspace` from the Redis INFO command. Because of a limitation in the underlying metrics system for caches with clustering enabled, Total Keys return the maximum number of keys of the shard that had the maximum number of keys during the reporting interval.
+  - The maximum number of keys in the cache during the past reporting time period. This number maps to `keyspace` from the Redis INFO command.
+    
+  > [!IMPORTANT]
+  > Because of a limitation in the underlying metrics system for caches with clustering enabled, Total Keys return the maximum number of keys of the shard that had the maximum number of keys during the reporting interval.
+  
 - Total Operations
   - The total number of commands processed by the cache server during the specified reporting interval. This value maps to `total_commands_processed` from the Redis INFO command. When Azure Cache for Redis is used purely for pub/sub, there are no metrics for `Cache Hits`, `Cache Misses`, `Gets`, or `Sets`, but there are `Total Operations` metrics that reflect the cache usage for pub/sub operations.
 - Used Memory

articles/machine-learning/how-to-identity-based-service-authentication.md

@@ -444,9 +444,10 @@ When you disable the admin user for ACR, Azure Machine Learning uses a managed i
     [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
     ```azurecli-interactive
-    az ml workspace show -w <my workspace> \
-    -g <my resource group>
-    --query containerRegistry
+    az ml workspace show --name <my workspace name> \
+    --resource-group <my resource group> \
+    --subscription <my subscription id> \
+    --query container_registry
     ```
 
     This command returns a value similar to the following text. You only want the last portion of the text, which is the ACR instance name:
@@ -469,7 +470,7 @@ If ACR admin user is disallowed by subscription policy, you should first create
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
 ```azurecli-interactive
-az ml workspace create -w <workspace name> \
+az ml workspace create -n <workspace name> \
 -g <workspace resource group> \
 -l <region> \
 --container-registry /subscriptions/<subscription id>/resourceGroups/<acr resource group>/providers/Microsoft.ContainerRegistry/registries/<acr name>
@@ -561,7 +562,7 @@ Create machine learning compute cluster with system-assigned managed identity en
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
 ```azurecli-interactive
-az ml compute show --name <cluster name> -w <workspace> -g <resource group>
+az ml compute show --name <cluster name> -n <workspace> -g <resource group>
 ```
 
 Optionally, you can update the compute cluster to assign a user-assigned managed identity:
@@ -608,7 +609,7 @@ In this scenario, Azure Machine Learning service builds the training or inferenc
         [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
         ```azurecli-interactive
-        az ml workspace show -w <workspace name> -g <resource group> --query identityPrincipalId
+        az ml workspace show -n <workspace name> -g <resource group> --query identityPrincipalId
         ```
 
     1. Grant the Managed Identity Operator role:
@@ -628,7 +629,7 @@ In this scenario, Azure Machine Learning service builds the training or inferenc
     The following command demonstrates how to use the YAML file to create a connection with your workspace. Replace `<yaml file>`, `<workspace name>`, and `<resource group>` with the values for your configuration:
 
     ```azurecli-interactive
-    az ml connection create --file <yml file> --resource-group <resource group> --workspace-name <workspace>
+    az ml connection create --file <yml file> --resource-group <resource group> --name <workspace>
     ```
 
 1. Once the configuration is complete, you can use the base images from private ACR when building environments for training or inference. The following code snippet demonstrates how to specify the base image ACR and image name in an environment definition: