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Merge pull request #119540 from JordiNeil/patch-2
Update stream-analytics-resource-model.md
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articles/stream-analytics/stream-analytics-resource-model.md

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@@ -33,7 +33,7 @@ Once you have developed your job by configuring inputs, output and a query, you
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When your job is started, the Stream Analytics service takes care of compiling your query and assigns certain amount of compute and memory based on the number of Streaming Units configured in your job. You don't have to worry about any underlying infrastructure as cluster maintenance, security patches as that is automatically taken care by the platform. When running jobs in the Standard SKU, you are charged for the Streaming Units only when the job runs.
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## Stream Analytics cluster
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By default, Stream Analytics jobs run in the Standard multi-tenant environment which forms the Standard SKU. Stream Analytics also provides a Dedicated SKU where you can provision an entire Stream Analytics cluster that belongs to you. Doing so gives you full control of which jobs run on your cluster. The minimum size of a Stream Analytics cluster is 36 Streaming Units and you are charged for the entire cluster capacity from when it gets provisioned. You can learn more about the [benefits of Stream Analytics clusters and when to use it](cluster-overview.md).
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By default, Stream Analytics jobs run in the Standard multi-tenant environment which forms the Standard SKU. Stream Analytics also provides a Dedicated SKU where you can provision an entire Stream Analytics cluster that belongs to you. Doing so gives you full control of which jobs run on your cluster. The minimum size of a Stream Analytics cluster is 12 Streaming Units and you are charged for the entire cluster capacity from when it gets provisioned. You can learn more about the [benefits of Stream Analytics clusters and when to use it](cluster-overview.md).
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:::image type="content" source="./media/stream-analytics-resource-model/stream-analytics-standard-sku.png" alt-text="Diagram that shows Standard multi-tenant environment in Stream Analytics." border="false":::
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