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 User 1: Share as owner

User 2: Share as co-owner

User 3: Share as run only user

According to the scenario, you want to share the MaintenanceScheduler cloud flow with three users who have different roles and permissions. To do this, you can use the following sharing methods:

Share as owner: This method allows you to add another user as an owner of the cloud flow, who can view, edit, run, and manage the flow. You can use this method to share the cloud flow with User 1, who is a senior maintenance manager and needs full access to the flow.

Share as co-owner: This method allows you to add a SharePoint list as a co-owner of the cloud flow, so that anyone who has edit access to the list also has edit access to the flow. You can use this method to share the cloud flow with User 2, who is a maintenance manager and needs to edit the flow. You can add the SharePoint list that User 2 has access to as a co-owner of the flow.

Share as run only user: This method allows you to grant run-only permissions to another user for the cloud flow, who can only run the flow manually or view its run history. You can use this method to share the cloud flow with User 3, who is a maintenance technician and needs to run the flow on demand.

Edit the cloud flow.

Modify the Run a flow built with Power Automate for desktop action.

Set the priority value based on the volume for an order.

To implement a solution to manage the priority of incoming orders, you need to perform three actions in sequence:

Edit the cloud flow that triggers the desktop flow. This is where you can define the logic for setting the priority value based on the volume for an order1.

Modify the Run a flow built with Power Automate for desktop action in the cloud flow. This is where you can pass the priority value as a parameter to the desktop flow1.

Set the priority value based on the volume for an order in the desktop flow. This is where you can use the priority value as a dynamic content to determine how the desktop flow will run on the target machine1.

According to the scenario, the DataCollector flow sometimes fails because some fields on web pages are missing or have different attributes than expected. To resolve this issue, you can use one of these two methods:

Add an If web page contains action before each Populate text field on a web page action to determine whether a field exists on the web page and write data only when true. This way, you can avoid errors caused by missing fields.

Modify selectors for each Populate text field on a web page action to ensure that field attributes are mapped correctly and match those on web pages. This way, you can avoid errors caused by mismatched attributes.

According to the scenario, the RailStatusUpdater flow sometimes fails because of network issues that prevent it from running a desktop flow on a machine. To resolve this issue, you can use one of these two methods:

Put the desktop flow action into a Do until loop that runs until the desktop flow is successful. This way, the cloud flow will retry running the desktop flow until it succeeds or reaches a maximum number of attempts.

Create a duplicate action for the desktop flow and configure the duplicate action to run if the first desktop flow action fails. This way, the cloud flow will have a second chance to run the desktop flow if the first attempt fails.

According to the scenario, PipelineManager1 is an owner of the RailStatusUpdater cloud flow. As an owner, PipelineManager1 can perform various actions on the flow, such as modifying or deleting it, viewing its run history, and adding or removing other owners. However, PipelineManager1 cannot override the DLP policy, modify the owner’s connection credentials, or set the cloud flow priority, as these actions require higher permissions or roles.

According to the scenario, the capacity planning flow fails when the gateway is offline. To avoid this issue, you can create a gateway cluster that consists of two or more gateways that share the same configuration and data sources. This way, if one gateway is offline, another gateway in the cluster can handle the requests and ensure high availability for your flow.

No, No , No, Yes

According to the scenario, you are unable to save ProdManager because it uses a connection reference that is missing from ProductionMonitor. To resolve this issue, you can use the Connection References page to add the missing embedded connection references to ProductionMonitor. This way, you can ensure that both cloud flows use the same connection reference and avoid errors.

Adding the current user as a co-owner of ProductionMonitor will not resolve the issue, because co-owners cannot modify the connections or connection references used by a cloud flow. Changing the value of the Run only users setting for ProductionMonitor will also not resolve the issue, because this setting only affects how run-only users can access connections when they run a cloud flow manually.