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A multinational retailer processes email messages that come into a centralized mailbox in different languages. The retailer requests the creation of a flow that will extract recognized entities in those messages. Which statement is valid?
Entity extraction will automatically detect the language of the email messages.
Select the language from a list of available languages in the entity extraction action.
Entity extraction supports only English language messages or documents.
A finance advisor department implements a solution that processes documents that are received from suppliers and customers. Additionally, the solution extracts the different recognized entities that they relate to. Recently, the department noticed that many documents weren't processed by the Power Automate flow that you created. Multiple failed runs are listed in the activity log. What could explain this issue?
The failed runs are for lengthy documents.
The flow is turned off, so the runs will fail.
Processed documents are in French.
A petting zoo manager wants to identify email messages about animals so that they can be routed to the proper specialized staff. In the list of supported entity types, animals aren't detected. What is the reason for the lack of detection?
A custom value must be added for the animal entity type.
The prebuilt entity extraction model must be trained to recognize the animal entity type.
The prebuilt entity extraction model can't be customized, and new entity types can't be added.
You must answer all questions before checking your work.
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