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Merge pull request #244729 from msakande/fixing-typo-in-endpoints-concept
fixing typo and updating ms date
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articles/machine-learning/concept-endpoints.md

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@@ -11,7 +11,7 @@ ms.author: sehan
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ms.reviewer: mopeakande
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reviewer: msakande
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ms.custom: devplatv2
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ms.date: 02/07/2023
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ms.date: 07/12/2023
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#Customer intent: As an MLOps administrator, I want to understand what a managed endpoint is and why I need it.
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@@ -41,7 +41,7 @@ An **endpoint** is a stable and durable URL that can be used to request or invok
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- a stable and durable URL (like _endpoint-name.region.inference.ml.azure.com_),
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- an authentication mechanism, and
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- an authentication mechanism.
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- an authorization mechanism.
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A **deployment** is a set of resources and computes required for hosting the model or component that does the actual inferencing. A single endpoint can contain multiple deployments. These deployments can host independent assets and consume different resources based on the needs of the assets. Endpoints have a routing mechanism that can direct requests to specific deployments in the endpoint.
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