A."-tgtroot"

B."-dbversion"

C."-tdemasterkey"

D."-sourcedb"

E."-sourceid"

F."-dbpatchievel"

A.MATERIALIZED_VIEWS

B.VIEWS_AS_TABLES

C.SUBSET_AS_TABLES

D.TABLES_AS_VIEWS

A.ZDM_BASE group access enabled

B.Jmx connections to be accepted from multiple hosts

C.Root user or SSH key-based access to target database server

D.Root user or SSH key-based access to source database server

A.Autonomous Database

B.Database Cloud service Bare Metal

C.Infrastructure as a service

D.Exadata Cloud Service

A.ELT architecture does not require dedicated hardware and leverages native data management engines, such as Big Data and RDBMs.

B.ELT architecture can easily become a bottleneck by placing excessive loads on the target servers.

C.ELT architecture reduces the amount of network traffic over traditional ETL tools, which use a dedicated server.

D.Traditional ETL tools use a dedicated server, which provides better performance as it can be sized to any workload.