Free Oracle 1z0-1094-23 Practice Exam with Questions & Answers | Set: 3

For Oracle Database sources in ODI projects, the Reverse Knowledge Module (RKM) for Oracle is used for reverse-engineering database objects, and the Loading Knowledge Module (LKM) SQL to Oracle is used for extracting and loading data. These KMs enable efficient metadata capture and data integration from Oracle sources.

In Oracle Data Integrator (ODI) Change Data Capture (CDC) processes, the JV$D view and J$ table are critical components for monitoring changed data capture activities. The JV$D view provides information about the CDC subscriber view definitions, while the J$ table stores the actual changed data records. Inspecting these database objects can help debug and verify that the CDC process is correctly capturing and writing changed data.

For migrating a non-TDE-encrypted 19c CDB to Database Cloud Service using RMAN and backups stored in OCI Object Storage, the "instantiate from backup" option simplifies the process. This method automatically handles the necessary encryption for the cloud environment, streamlining the migration and ensuring compliance with cloud security standards.

Oracle Data Integrator Enterprise Edition primarily uses an ELT (Extract, Load, Transform) approach to process and transform data. This methodology involves extracting data from source systems, loading it into the target system, and then performing transformations within the target database. This leverages the power and scalability of the database engine, making it suitable for large volumes of data and complex transformations across disparate RDBMS and Big Data systems.

To extract data from Fusion SaaS applications and load it into Autonomous Data Warehouse (ADW) using Oracle Data Integrator (ODI), the essential topology elements include the Oracle (ADW) data server, File data server for handling flat files, and Object Storage to store and manage data files in the cloud. These components work together to facilitate the extraction, storage, and loading of data in an efficient and scalable manner.

The FLASHBACK_TIME parameter in a Data Pump parameter file is used to ensure a consistent export by setting a specific point in time for the export operation. This feature leverages Oracle Database's flashback technology to view the data as it existed at a previous point in time, ensuring that the exported data set is consistent and reflects the database state at the specified flashback time, which is crucial for maintaining data integrity during migration to Autonomous Database.

In the multitenant architecture of Oracle Database, each Pluggable Database (PDB) has its own set of data files, and they are not shared between PDBs. This architecture allows for data isolation and security among different PDBs within the same Container Database (CDB). The background processes, System Global Area (SGA), and redo log files, however, are shared among all PDBs within a CDB to optimize resource usage and management.

Installing Oracle Zero Downtime Migration (ZDM) software requires a system with at least 8 GB of RAM to ensure adequate performance. Additionally, specific Linux packages, including "glibc-devel" and "expect," must be installed to satisfy dependencies that ZDM components might have, ensuring a successful installation and operation of the ZDM service host.

Data Pump can move data to the cloud by importing from a dump file stored in Oracle Cloud Infrastructure (OCI) Object Storage or directly from an Oracle Database using a database link. These methods allow for efficient data transfer to the cloud, with the dump file method providing a way to stage data in OCI Object Storage and the database link method enabling direct data transfer between databases.

When migrating a database with a difference in endian format from on-premises to Oracle Cloud, Data Pump Conventional Export/Import and RMAN cross-Platform Transportable PDB are valid methods. Data Pump allows for data conversion during import/export operations, while RMAN's cross-platform capabilities enable the migration of PDBs across different endian formats, ensuring data integrity and compatibility.