1Z0-485 · Question #55
Identify two tasks that the Database Resource Manager can perform, which the I/O Resource Manager cannot.
The correct answer is B. Manage the number of parallel sessions for a query. D. Terminate database sessions when certain limits have been reached. IORM is similar to Oracle Database Resource Manager (DBRM) in that it provides a means for controlling allocation of system resources. Where DBRM's primary goals are to control CPU resources, limit the degree of parallelism, and impose resource consumption constraints for…
Question
Identify two tasks that the Database Resource Manager can perform, which the I/O Resource Manager cannot.
Options
- AManage I/O based on the application that is connected to the database.
- BManage the number of parallel sessions for a query.
- CManage I/O and CPU between databases on the same cluster or physical database host.
- DTerminate database sessions when certain limits have been reached.
- EManage the throughput of an I/O-bound application based on the service name used for the
How the community answered
(23 responses)- A9% (2)
- B83% (19)
- C4% (1)
- E4% (1)
Explanation
IORM is similar to Oracle Database Resource Manager (DBRM) in that it provides a means for controlling allocation of system resources. Where DBRM's primary goals are to control CPU resources, limit the degree of parallelism, and impose resource consumption constraints for different types of sessions within an Oracle database, IORM's goal is to govern I/O resource allocations between databases on a shared storage infrastructure. When consolidating Oracle databases on Exadata, IORM can be used to ensure that I/O is controlled between databases as well as classifications of consumes that utilize the same ASM disk infrastructure and, as such, provide resource control capabilities beyond what DBRM provides within a database. / Using the Database Resource Manager, you can: * Guarantee certain users a minimum amount of processing resources regardless of the load on the system and the number of users * Distribute available processing resources by allocating percentages of CPU time to different users and applications. In a data warehouse, a higher percentage may be given to ROLAP (relational on-line analytical processing) applications than to batch jobs. * Limit the degree of parallelism of any operation performed by members of a group of users etc
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