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Merge pull request #216124 from jess-hu-340/1027-update-cfpqa17st
[Doc update] Update control (cfpqa and cfedfa) related outdated screenshot
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articles/data-factory/control-flow-execute-data-flow-activity.md

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ms.custom: synapse
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ms.topic: conceptual
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ms.author: makromer
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ms.date: 07/20/2022
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ms.date: 10/27/2022
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# Data Flow activity in Azure Data Factory and Azure Synapse Analytics
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1. Select the new Data Flow activity on the canvas if it is not already selected, and its **Settings** tab, to edit its details.
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:::image type="content" source="media/control-flow-execute-data-flow-activity/data-flow-activity.png" alt-text="Shows the UI for a Data Flow activity.":::
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1. Checkpoint key is used to set the checkpoint when data flow is used for changed data capture. You can overwrite it. Data flow activities use a guid value as checkpoint key instead of “pipelinename + activityname” so that it can always keep tracking customer’s change data capture state even there’s any renaming actions. All existing data flow activity will use the old pattern key for backward compatibility. Checkpoint key option after publishing a new data flow activity with change data capture enabled data flow resource is shown as below.
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1. Checkpoint key is used to set the checkpoint when data flow is used for changed data capture. You can overwrite it. Data flow activities use a guid value as checkpoint key instead of “pipeline name + activity name” so that it can always keep tracking customer’s change data capture state even there’s any renaming actions. All existing data flow activity will use the old pattern key for backward compatibility. Checkpoint key option after publishing a new data flow activity with change data capture enabled data flow resource is shown as below.
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:::image type="content" source="media/control-flow-execute-data-flow-activity/data-flow-activity-checkpoint.png" alt-text="Shows the UI for a Data Flow activity with checkpoint key.":::
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3. Select an existing data flow or create a new one using the New button. Select other options as required to complete your configuration.

articles/data-factory/control-flow-power-query-activity.md

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ms.service: data-factory
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ms.topic: conceptual
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ms.date: 12/12/2021
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ms.date: 10/27/2022
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# Power Query activity in Azure Data Factory
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The Power Query activity allows you to build and execute Power Query mash-ups to execute data wrangling at scale in a Data Factory pipeline. You can create a new Power Query mash-up from the New resources menu option or by adding a Power Activity to your pipeline.
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![Screenshot that shows Power Query in the factory resources pane.](media/data-flow/power-query-activity-1.png)
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:::image type="content" source="media/data-flow/power-query-activity-1.png" alt-text="Diagram that shows the General tab of the Power Query activity.":::
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You can work directly inside of the Power Query mash-up editor to perform interactive data exploration and then save your work. Once complete, you can take your Power Query activity and add it to a pipeline. Azure Data Factory will automatically scale it out and operationalize your data wrangling using Azure Data Factory's data flow Spark environment.
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:::image type="content" source="media/control-flow-power-query-activity/for-each-activity-using-power-query-output.png" alt-text="Shows the ForEach Activity's Settings tab with  Add dynamic content  link for the Items property.":::
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1. Any activity outputs are displayed and can be used when defining your dynamic content by selecting them in the **Add dynamic content** pane.
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1. Any activity outputs are displayed and can be used when defining your dynamic content by selecting them in the **Pipeline expression builder** pane.
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:::image type="content" source="media/control-flow-power-query-activity/using-power-query-output-in-dynamic-content.png" alt-text="Shows the  Add dynamic content  pane referencing the Power Query defined above.":::
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