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Merge pull request #238680 from Naveenommi-MSFT/patch-45
(AzureCXP) fixes MicrosoftDocs/azure-docs#109723
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articles/machine-learning/concept-endpoints.md

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@@ -41,7 +41,7 @@ Finally, let's imagine that after running for a couple of months, the organizati
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An **endpoint**, is a stable and durable URL that can be used to request or invoke the model, provide the required inputs, and get the outputs back. An endpoint provides:
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- a stable and durable URL (like endpoint-name.region.inference.ml.azure.com).
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- An authentication and authentication mechanism.
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- An authentication and authorization mechanism.
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A **deployment** is a set of resources required for hosting the model or component that does the actual inferencing. A single endpoint can contain multiple deployments which can host independent assets and consume different resources based on what the actual assets require. Endpoints have a routing mechanism that can route the request generated for the clients to specific deployments under the endpoint.
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