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Update how-to-access-data-batch-endpoints-jobs.md
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articles/machine-learning/how-to-access-data-batch-endpoints-jobs.md

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@@ -82,7 +82,7 @@ To successfully invoke a batch endpoint and create jobs, ensure you have the fol
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## Create jobs basics
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To create a job from a batch endpoint you have to invoke it. Invocation can be done using the Azure CLI, the Azure Machine Learning SDK for Python, or a REST API call. The following examples show the basics of invocation for a batch endpoints that recieves a single input data folder for processing. See [Understanding inputs and outputs](how-to-access-data-batch-endpoints-jobs.md#understanding-inputs-and-outputs) for examples with different inputs and outputs.
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To create a job from a batch endpoint you have to invoke it. Invocation can be done using the Azure CLI, the Azure Machine Learning SDK for Python, or a REST API call. The following examples show the basics of invocation for a batch endpoint that receives a single input data folder for processing. See [Understanding inputs and outputs](how-to-access-data-batch-endpoints-jobs.md#understanding-inputs-and-outputs) for examples with different inputs and outputs.
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# [Azure CLI](#tab/cli)
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