fixing typo

Author: Larry Franks

articles/machine-learning/reference-yaml-job-command.md

@@ -48,7 +48,7 @@ The source JSON schema can be found at https://azuremlschemas.azureedge.net/late
 | `inputs.<input_name>` | number, integer, boolean, string or object | One of a literal value (of type number, integer, boolean, or string) or an object containing a [job input data specification](#job-inputs). | | |
 | `outputs` | object | Dictionary of output configurations of the job. The key is a name for the output within the context of the job and the value is the output configuration. <br><br> Outputs can be referenced in the `command` using the `${{ outputs.<output_name> }}` expression. | |
 | `outputs.<output_name>` | object | You can leave the object empty, in which case by default the output will be of type `uri_folder` and Azure ML will system-generate an output location for the output. File(s) to the output directory will be written via read-write mount. If you want to specify a different mode for the output, provide an object containing the [job output specification](#job-outputs). | |
-| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If it's UserIdentityConfiguration the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used | |
+| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If it's UserIdentityConfiguration the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used. | |
 
 ### Distribution configurations
 

articles/machine-learning/reference-yaml-job-pipeline.md

@@ -42,7 +42,7 @@ The source JSON schema can be found at https://azuremlschemas.azureedge.net/late
 | `inputs.<input_name>` | number, integer, boolean, string or object | One of a literal value (of type number, integer, boolean, or string) or an object containing a [job input data specification](#job-inputs). | | |
 | `outputs` | object | Dictionary of output configurations of the pipeline job. The key is a name for the output within the context of the job and the value is the output configuration. <br><br> These pipeline outputs can be referenced by the outputs of an individual step job in the pipeline using the `${{ parents.outputs.<output_name> }}` expression. For more information on how to bind the inputs of a pipeline step to the inputs of the top-level pipeline job, see the [Expression syntax for binding inputs and outputs between steps in a pipeline job](reference-yaml-core-syntax.md#binding-inputs-and-outputs-between-steps-in-a-pipeline-job). | |
 | `outputs.<output_name>` | object | You can leave the object empty, in which case by default the output will be of type `uri_folder` and Azure ML will system-generate an output location for the output based on the following templatized path: `{settings.datastore}/azureml/{job-name}/{output-name}/`. File(s) to the output directory will be written via read-write mount. If you want to specify a different mode for the output, provide an object containing the [job output specification](#job-outputs). | |
-| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If it's UserIdentityConfiguration the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used | |
+| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If it's UserIdentityConfiguration the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used. | |
 
 ### Attributes of the `settings` key
 

articles/machine-learning/reference-yaml-job-sweep.md

@@ -47,7 +47,7 @@ The source JSON schema can be found at https://azuremlschemas.azureedge.net/late
 | `inputs.<input_name>` | number, integer, boolean, string or object | One of a literal value (of type number, integer, boolean, or string) or an object containing a [job input data specification](#job-inputs). | | |
 | `outputs` | object | Dictionary of output configurations of the job. The key is a name for the output within the context of the job and the value is the output configuration. <br><br> Outputs can be referenced in the `command` using the `${{ outputs.<output_name> }}` expression. | |
 | `outputs.<output_name>` | object | You can leave the object empty, in which case by default the output will be of type `uri_folder` and Azure ML will system-generate an output location for the output. File(s) to the output directory will be written via read-write mount. If you want to specify a different mode for the output, provide an object containing the [job output specification](#job-outputs). | |
-| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If UserIdentityConfiguration, the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used | |
+| `identity` | object | The identity is used for data accessing. It can be [UserIdentityConfiguration](#useridentityconfiguration), [ManagedIdentityConfiguration](#managedidentityconfiguration) or None. If UserIdentityConfiguration, the identity of job submitter will be used to access input data and write result to output folder, otherwise, the managed identity of the compute target will be used. | |
 
 ### Sampling algorithms