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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q20-Q25):
NEW QUESTION # 20
Which of the following steps is NOT required during ZDM configuration for such a schema?
- A. Ensure all partitions are online on the standby database.
- B. Refresh materialized views on the standby database before cutover.
- C. Set the flashback recovery area size on the standby database to match the source.
- D. Configure supplemental logging for materialized view refresh on the source database.
Answer: C
Explanation:
Here's a breakdown of why:
Schema-only migration: In a schema-only migration, data is not transferred to the standby database. Therefore, the flashback recovery area size on the standby database is not relevant.
The other options are essential for a successful schema-only migration:
A). Refreshing materialized views ensures that the standby database has the latest data.
B). All partitions must be online to ensure that the schema is complete on the standby database.
D). Supplemental logging is required to capture the necessary information for refreshing materialized views on the standby database.
Therefore, setting the flashback recovery area size on the standby database is not required for a schema-only migration and can be omitted from the ZDM configuration.
NEW QUESTION # 21
Which migration strategy is most efficient for migrating a group of Oracle Databases with varying sizes and functionalities, where some require high availability and others are less critical?
- A. A single, one-size-fits-all migration approach for all databases
- B. A phased migration strategy with prioritization based on criticality
- C. A homogeneous migration strategy using the same method for all databases
- D. A heterogeneous migration strategy with different methods tailored to each database
Answer: D
Explanation:
A single, one-size-fits-all approach ignores the specific needs of each database.
A phased migration focuses on prioritization but may not consider the most suitable method for each database.
A homogeneous strategy might utilize a suboptimal method for some databases.
A heterogeneous strategy allows for customization. You can use ZDM for high-availability databases, Data Pump for less critical ones, and potentially choose different methods based on size and workload.
NEW QUESTION # 22
Which of the following strategies would be MOST effective for improving RMAN migration performance while leveraging Data Pump for specific data subsets?
- A. Create incremental backups using RMAN and then use Data Pump to restore and import specific data subsets from the latest backup.
- B. Use RMAN to restore the entire database and then use Data Pump to export and import specific tables or schemas.
- C. Use RMAN to restore the database to a smaller instance in OCI and then use Data Pump to migrate data from the smaller instance to the final target database.
- D. Use RMAN to restore the database to a temporary instance and then use Data Pump to export and import the required data to the final target database.
Answer: D
Explanation:
Here's why:
Parallelism: This approach allows for parallel operations, as RMAN can restore the entire database to a temporary instance while Data Pump exports and imports specific data subsets to the final target database.
Efficiency: By using RMAN for the initial restore and Data Pump for specific data subsets, you can optimize the migration process for large databases with complex data structures.
Flexibility: This strategy offers flexibility as you can customize the migration process to meet your specific requirements and priorities.
While the other options might be suitable in certain scenarios, they are generally less efficient or less flexible:
A). Use RMAN to restore the entire database and then use Data Pump to export and import specific tables or schemas. This approach can be time-consuming for large databases, especially if you only need to migrate a small subset of the data.
B). Create incremental backups using RMAN and then use Data Pump to restore and import specific data subsets from the latest backup. While this can be effective for incremental updates, it might not be the most efficient approach for a full migration.
D). Use RMAN to restore the database to a smaller instance in OCI and then use Data Pump to migrate data from the smaller instance to the final target database. This approach can be time-consuming and might introduce additional complexity.
NEW QUESTION # 23
Which GoldenGate component is essential for establishing connectivity and data conversion between the source and target databases?
- A. Extract
- B. Decoder
- C. Replicat
- D. Manager
Answer: B
Explanation:
Here's a breakdown of why:
Decoder: The Decoder component in GoldenGate is responsible for decoding the redo logs from the source database and converting the data into a format that can be understood by the Replicat process. It plays a crucial role in establishing connectivity and ensuring data consistency between the source and target databases.
The other options are not directly responsible for connectivity and data conversion:
A). The Manager component coordinates the overall GoldenGate process but doesn't handle data conversion.
B). The Replicat component applies data changes to the target database but doesn't handle data conversion.
C). The Extract component captures data changes from the source database but doesn't handle data conversion.
NEW QUESTION # 24
Which target database option in OCI is the most suitable for migrating a large, mission-critical Oracle Database 19c Enterprise Edition that utilizes advanced features like In-Memory Option and Database Vault, considering feature compatibility and performance needs?
- A. Autonomous Database Basic
- B. Exadata Cloud Service Database VM
- C. Autonomous Database Data Warehouse
- D. Database System - Virtual Machine
Answer: B
Explanation:
Here's why:
Feature Compatibility: Exadata Cloud Service Database VM offers the highest level of compatibility with Oracle Database Enterprise Edition, including advanced features like In-Memory Option and Database Vault.
Performance: Exadata is specifically designed for high-performance OLTP and data warehousing workloads, making it ideal for mission-critical applications.
Scalability: Exadata Cloud Service Database VM can be easily scaled up or down to meet changing performance requirements.
Managed Service: As a managed service, Exadata Cloud Service Database VM handles tasks like patching, backups, and monitoring, reducing administrative overhead and ensuring high availability.
While Autonomous Database options offer some benefits, they might not be fully compatible with all advanced features of Oracle Database Enterprise Edition, especially for highly customized environments. Additionally, Autonomous Database options might have limitations in terms of customization and control compared to Exadata Cloud Service Database VM.
NEW QUESTION # 25
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