Question

Persistent data model acceleration is good for.. There are 2

1) Extremely large volume of events
2) Slow pivot reports
3) Slow transforming commands
4) When report conditions are not met

Answer 1

Persistent data model acceleration is beneficial for extremely large volumes of events, slow pivot reports, slow transforming commands, and when report conditions are not met.

Step-by-step explanation:

Persistent data model acceleration is beneficial in several scenarios: