Delta ConcurrentAppendException when loading different tables in Lakehouse, but at the same time

I am getting similar error "ConcurrentAppendException" when trying to update delta tables from lakehouse using parallel operations. Queries from parallel operations very simple like "update table set status = {value} where id ={id}" - where id is different in every operation. But still it is failing with error ConcurrentAppendException. I am loogin through various forums and found suggestions like -

1. retry mechanism - this is not feasible as on every transaction I can't add this code

2. batch updates - not in scope as part of parallely executing pipeline I am running these notebooks with update queries

3. Partitioning - for partitioning id column is primary key column so it will create lot of files

4. Isolation level - This is not sure but I think, In Microsoft Fabric, Delta tables in the Lakehouse use Snapshot Isolation by default. But I haven't found any way to change this to serializable.

5. In delta.io they are indicating to use more specific filter as per partition but in my case I don't have much data in table and also no other column to make it specific filter. As I am directly doing it on primary key

Seems like very basic requirement in Data engineering but struggling to achieve it in Microsoft Fabric. Do we have any solution on this?