Merge pull request #245 from Blackmist/297846-fresh

freshness updates

Author: prmerger-automator[bot]

articles/machine-learning/v1/how-to-use-secrets-in-runs.md

@@ -5,12 +5,12 @@ description: Learn how to pass secrets to training jobs in secure fashion using
 services: machine-learning
 author: Blackmist
 ms.author: larryfr
-ms.reviewer: roastala
 ms.service: azure-machine-learning
 ms.subservice: enterprise-readiness
-ms.date: 11/16/2022
+ms.date: 09/12/2024
 ms.topic: how-to
-ms.custom: UpdateFrequency5, sdkv1
+ms.custom: UpdateFrequency5, sdkv1, FY25Q1-Linter
+# Customer Intent: As a data scientist, I want to use secrets in my training jobs so that I can securely pass authentication information to my training scripts.
 ---
 
 # Use authentication credential secrets in Azure Machine Learning training jobs
@@ -22,7 +22,7 @@ In this article, you learn how to use secrets in training jobs securely. Authent
 Instead, your Azure Machine Learning workspace has an associated resource called a [Azure Key Vault](/azure/key-vault/general/overview). Use this Key Vault to pass secrets to remote jobs securely through a set of APIs in the Azure Machine Learning Python SDK.
 
 The standard flow for using secrets is:
- 1. On local computer, log in to Azure and connect to your workspace.
+ 1. On local computer, sign in to Azure and connect to your workspace.
  2. On local computer, set a secret in Workspace Key Vault.
  3. Submit a remote job.
  4. Within the remote job, get the secret from Key Vault and use it.
@@ -43,9 +43,9 @@ keyvault = ws.get_default_keyvault()
 keyvault.set_secret(name="mysecret", value = my_secret)
 ```
 
-Do not put the secret value in your Python code as it is insecure to store it in file as cleartext. Instead, obtain the secret value from an environment variable, for example Azure DevOps build secret, or from interactive user input.
+Don't put the secret value in your Python code as it is insecure to store it in file as cleartext. Instead, obtain the secret value from an environment variable, for example Azure DevOps build secret, or from interactive user input.
 
-You can list secret names using the [`list_secrets()`](/python/api/azureml-core/azureml.core.keyvault.keyvault#list-secrets--) method and there is also a batch version,[set_secrets()](/python/api/azureml-core/azureml.core.keyvault.keyvault#set-secrets-secrets-batch-) that allows you to set multiple secrets at a time.
+You can list secret names using the [`list_secrets()`](/python/api/azureml-core/azureml.core.keyvault.keyvault#list-secrets--) method and there's also a batch version,[set_secrets()](/python/api/azureml-core/azureml.core.keyvault.keyvault#set-secrets-secrets-batch-) that allows you to set multiple secrets at a time.
 
 > [!IMPORTANT]
 > Using `list_secrets()` will only list secrets created through `set_secret()` or `set_secrets()` using the Azure Machine Learning SDK. It will not list secrets created by something other than the SDK. For example, a secret created using the Azure portal or Azure PowerShell will not be listed.
@@ -68,9 +68,9 @@ secret_value = run.get_secret(name="mysecret")
 
 Be careful not to expose the secret value by writing or printing it out.
 
-There is also a batch version, [get_secrets()](/python/api/azureml-core/azureml.core.run.run#get-secrets-secrets-) for accessing multiple secrets at once.
+There's also a batch version, [get_secrets()](/python/api/azureml-core/azureml.core.run.run#get-secrets-secrets-) for accessing multiple secrets at once.
 
-## Next steps
+## Related content
 
  * [View example notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/manage-azureml-service/authentication-in-azureml/authentication-in-azureml.ipynb)
  * [Learn about enterprise security with Azure Machine Learning](../concept-enterprise-security.md)