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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q81-Q86):

NEW QUESTION # 81
How can Oracle Data Pump be leveraged to migrate data into a multitenant architecture?

  • A. Data Pump can directly import data into PDBs, bypassing the CDB altogether. (This is not possible)
  • B. Data Pump can be used to migrate entire databases, including schema and data, directly into individual PDBs within the CDB.
  • C. Data Pump can be used to export data from the source and import it into the CDB, with PDBs subsequently created and populated.
  • D. Data Pump is not recommended for migrating data into a multitenant architecture due to its limitations.

Answer: C

Explanation:
Here's a breakdown of the other options:
A). Data Pump can directly import data into PDBs, bypassing the CDB altogether. This is not possible. Data Pump operates at the CDB level.
C). Data Pump can be used to migrate entire databases, including schema and data, directly into individual PDBs within the CDB. This is not the ideal approach. While it's technically possible, it's not recommended as it can lead to inconsistencies and management challenges.
D). Data Pump is not recommended for migrating data into a multitenant architecture due to its limitations. This is incorrect. Data Pump is a powerful tool that can be effectively used for migrating data into a multitenant architecture.
The recommended approach is to:
Export the data from the source database using Data Pump.
Import the exported data into the CDB.
Create PDBs within the CDB.
Populate the PDBs with the imported data.


NEW QUESTION # 82
In a ZDM scenario with a large database and high transaction volume, which of the following techniques can help mitigate potential performance issues during cutover?

  • A. Utilizing supplemental logging on the target database to capture additional information for troubleshooting.
  • B. Enabling archive logging on the source database before starting the migration.
  • C. Employing a staged cutover approach, migrating schemas or partitions sequentially.
  • D. Performing a full database export and import using Data Pump before initiating ZDM.

Answer: C

Explanation:
Here's a breakdown of why:
Staged cutover minimizes the impact on the source database during the migration process by gradually transitioning objects or partitions to the target database. This helps to avoid overwhelming the source database with a sudden influx of traffic.
Reduced risk: A staged cutover approach allows you to identify and address any issues with individual components before proceeding with the entire migration, reducing the risk of a complete failure.
Improved performance: By gradually transferring objects or partitions, you can more effectively manage the workload on both the source and target databases, leading to better overall performance.
The other options are not as effective in mitigating performance issues during cutover:
a). Enabling archive logging: While archive logging can be useful for disaster recovery, it's not directly related to improving performance during cutover.
b). Performing a full database export and import: This approach can be time-consuming and may not be suitable for large databases with high transaction volumes.
c). Utilizing supplemental logging: Supplemental logging can be helpful for troubleshooting, but it's not a direct solution for mitigating performance issues during cutover.


NEW QUESTION # 83
Which characteristic of Autonomous Database (ADB) makes it a suitable option for high availability requirements?

  • A. ADB leverages Oracle Real Application Clusters (RAC) technology for high availability.
  • B. ADB offers various deployment models, including single instance and multi-tenant.
  • C. ADB offers disaster recovery capabilities for failover to a secondary region.
  • D. ADB provides automatic patching and backups, minimizing administrative overhead.

Answer: C

Explanation:
This feature ensures that the database can continue to operate in case of a failure in the primary region, providing high availability and minimizing downtime.
Here's a breakdown of the other options:
A). ADB offers various deployment models, including single instance and multi-tenant. While deployment models are important for flexibility, they don't directly address high availability.
B). ADB provides automatic patching and backups, minimizing administrative overhead. These features contribute to database health and management, but they don't guarantee high availability.
C). ADB leverages Oracle Real Application Clusters (RAC) technology for high availability. While RAC is a high availability solution, it's typically used for on-premises deployments. Autonomous Database offers a different approach to high availability based on disaster recovery capabilities.


NEW QUESTION # 84
Which of the following is a critical factor to consider when configuring Zero Downtime Migration?

  • A. Compatibility of the source and target databases
  • B. Number of users accessing the database
  • C. End-user training requirements
  • D. Size of the source database only

Answer: A

Explanation:
Compatibility between the source and target databases is critical to ensure that all features and data types are supported during and after migration.


NEW QUESTION # 85
If a company requires both high availability and low downtime during migration, which approach would best meet this need?

  • A. Offline migration
  • B. Data Pump export/import
  • C. Incremental backups
  • D. Online migration with Oracle GoldenGate

Answer: D

Explanation:
Online migration with Oracle GoldenGate allows for high availability and low downtime, as it supports real-time data replication.


NEW QUESTION # 86
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