Explanation/Reference:
Explanation:
The large pool can provide large memory allocations for the following:
/(B)UGA (User Global Area) for the shared server and the Oracle XA interface (used where transactions interact with multiple databases)
/Message buffers used in the parallel execution of statements
/(A) Buffers for Recovery Manager (RMAN) I/O slaves
Note:
* large pool
Optional area in the SGA that provides large memory allocations for backup and restore operations, I/O server processes, and session memory for the shared server and Oracle XA.
* Oracle XA
An external interface that allows global transactions to be coordinated by a transaction manager other than Oracle Database.
* UGA
User global area. Session memory that stores session variables, such as logon information, and can also contain the OLAP pool.
* Configuring the Large Pool
Unlike the shared pool, the large pool does not have an LRU list (not D). Oracle Database does not attempt to age objects out of the large pool. Consider configuring a large pool if the database instance uses any of the following Oracle Database features:
* Shared server
In a shared server architecture, the session memory for each client process is included in the shared pool.
* Parallel query
Parallel query uses shared pool memory to cache parallel execution message buffers.
* Recovery Manager
Recovery Manager (RMAN) uses the shared pool to cache I/O buffers during backup and restore operations. For I/O server processes, backup, and restore operations, Oracle Database allocates buffers that are a few hundred kilobytes in size.

utlrp.sql and utlprp.sql
The utlrp.sql and utlprp.sql scripts are provided by Oracle to recompile all invalid objects in the database. They are typically run after major database changes such as upgrades or patches. They
are located in the $ORACLE_HOME/rdbms/admin directory and provide a wrapper on the
UTL_RECOMP package. The utlrp.sql script simply calls the utlprp.sql script with a command line
parameter of "0". The utlprp.sql accepts a single integer parameter that indicates the level of
parallelism as follows.
0 - The level of parallelism is derived based on the CPU_COUNT parameter.
1 - The recompilation is run serially, one object at a time.
N - The recompilation is run in parallel with "N" number of threads.
Both scripts must be run as the SYS user, or another user with SYSDBA, to work correctly.
Reference: Recompiling Invalid Schema Objects

* To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access and modification.
Heat Map provides data access tracking at the segment-level and data modification tracking at the segment and row level.
* To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access and modification. You can also use Automatic Data Optimization (ADO) to automate the compression and movement of data between different tiers of storage within the database.

Explanation/Reference:
Explanation:
Note:
* DBMS_REDACT.FULL completely redacts the column data.
* DBMS_REDACT.NONE applies no redaction on the column data. Use this function for development testing purposes. LOB columns are not supported.
* The DBMS_REDACT package provides an interface to Oracle Data Redaction, which enables you to mask (redact) data that is returned from queries issued by low-privileged users or an application.
* If you create a view chain (that is, a view based on another view), then the Data Redaction policy also applies throughout this view chain. The policies remain in effect all of the way up through this view chain, but if another policy is created for one of these views, then for the columns affected in the subsequent views, this new policy takes precedence.