Correct Answer: BDTo process 10,000 records in a single run for a Microsoft Power Automate cloud flow using the List rows action with Microsoft Dataverse, two approaches are appropriate. First, return the first 5,000 records and use the @odata.nextLink in the response to fetch the remaining records, ensuring efficient handling of large datasets. This method allows continuation of data retrieval, overcoming record limits in a single query. Second, enabling pagination and setting the threshold to 10,000 ensures that multiple pages of records are processed seamlessly in a single run without exceeding individual query constraints. These methods collectively support the goal of processing 10,000 records in one flow execution.