soql
Decode Trail Latest Questions
Demo orgs usually assume perfect data, linear flows, and cooperative users.Production orgs rarely behave this way once real pressure, volume, and edge cases appear.Many Salesforce issues surface only after go-live, not during demos.
Once a customer agrees verbally, teams often assume the deal is complete.In reality, pricing approval, confirmation, and payment are distinct business events.Merging them can create confusion across finance and sales teams.
I upgraded to a GPU with much more VRAM.I increased the batch size to use the available memory.Now the training is noticeably slower per epoch.There are no errors, but performance feels worse than before.
Unable to read properties of undefined
Early gains were easy, but progress has slowed significantly.Most basic controls are already in place.I’m trying to understand how teams continue improving beyond this point.
Training data looks correct.Live predictions use the same features by name.Yet values don’t match expectations. This undermines trust in the system?
