Examine the parameters for your database instance:

Which three statements are true about the process of automatic optimization by using cardinality feedback? (Choose three.)
Examine the parameters for your database instance:
Which three statements are true about the process of automatic optimization by using cardinality feedback? (Choose three.)
The optimizer automatically changes a plan during subsequent execution of a SQL statement if there is a huge difference in optimizer estimates and execution statistics. The optimizer enables monitoring for cardinality feedback after the first execution of a query to adjust the execution plan based on observed differences. After the optimizer identifies a query as a re-optimization candidate, statistics collected by the collectors are submitted to the optimizer for more accurate re-optimization.
D is correct: cardinality feedback is called Statistics feedback in 12c. "In some cases, there are other techniques available to improve estimation; for instance, dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates. In cases where these techniques apply, statistics feedback is not enabled. However, if multi-column statistics are not present for the relevant combination of columns, the optimizer can fall back on statistics feedback." Reference: https://blogs.oracle.com/optimizer/post/statistics-feedback-formerly-cardinality-feedback
I Think A C E. CF(cardinality feedback) is helping Dynamic sampling. In order to disable CF. You need to set _optimizer_use_feedback" to false at a session or statement level. So given answer D is wrong. E is correct.
So given answer D is wrong. E is correct. A C E. Any comment please.
In some cases, there are other techniques available to improve estimation; for instance, dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates. In cases where these techniques apply, statistics feedback is not enabled.
In some cases, there are other techniques available to improve estimation; for instance, dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates. In cases where these techniques apply, statistics feedback is not enabled.