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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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@@ -27,6 +27,8 @@ Batch endpoints can be used to perform long batch operations over large amounts
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Batch endpoints provide a durable API that consumers can use to create batch jobs. The same interface can be used to indicate the inputs and the outputs your deployment expects. Use inputs to pass any information your endpoint needs to perform the job.
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:::image type="content" source="./media/concept-endpoints/batch-endpoint-inputs-outputs.png" alt-text="Diagram showing how inputs and outputs are used in batch endpoints.":::
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The number and type of inputs and outputs depend on the [type of batch deployment](concept-endpoints-batch.md#batch-deployments). Model deployments always require 1 data input and produce 1 data output. However, pipeline component deployments provide a more general construct to build endpoints. You can indicate any number of inputs and outputs.
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The following table summarizes it:

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