Airflow 2: SubdagOperator behaviour issues with respect to the tasks within - airflow

SubDagOperator success is based on success state of the tasks within. Lately after Migration from Airflow 1.10 to Airflow 2, we have seen 2 instances which are not normal.
a) Scenario 1:
Total run duration shown for the subdagoperator is not the sum of the time taken by all the underlying tasks.
-- Underlying tasks took 1 hour to complete as per the GANTT chart but on hovering over SubdagOperator it shows 10 mins
b) Scenario 2:
Dag : Schedule to run at 12:50 am UTC on Sunday
Task1(BigqueryOperator) --> Task2(SubDagOperator) --> Task3(BigqueryOperator)
Task1>> Task2 >> Task3
Task2 has 3 tasks within it running it parallel, all of them using BigqueryOperator
Subtask1
Subtask2
Subtask3
Also Task2.Subtask1 uses one of the table as input from Task1
In ideal scenario first Task1 will complete before triggering the Task2 or any of its underlying subtasks.
Opposite to above we see from logs of Task2.Subtask1 that the task got triggered 2 minutes before the table in Task1 got created. Eventually failing the Task2.Subtask1 with input table not found.
Are the tasks within SubdagOperator treated differently in Airflow 2.
Note : We have 2 schedulers in Airflow 2. Is it something to do with commnunication gap between schedulers

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