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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q106-Q111):
NEW QUESTION # 106
Which of the following statements about DMS configuration is TRUE?
- A. It is only necessary for initial database setups.
- B. It is a one-time setup that does not need to be revisited.
- C. It should align with both source and target database requirements.
- D. It requires minimal documentation and can be completed quickly.
Answer: C
Explanation:
DMS configuration should align with both source and target database requirements to ensure compatibility and successful migration.
NEW QUESTION # 107
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. Performing a full database export and import using Data Pump before initiating ZDM.
- B. Enabling archive logging on the source database before starting the migration.
- C. Employing a staged cutover approach, migrating schemas or partitions sequentially.
- D. Utilizing supplemental logging on the target database to capture additional information for troubleshooting.
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 # 108
When migrating an Oracle Database to OCI using Data Pump, which of the following actions is NOT required during the Migration phase?
- A. Configuring Data Pump import parameters for the target database
- B. Executing the Data Pump Export utility on the source database
- C. Manually creating tables and indexes in the target database before import
- D. Executing the Data Pump Import utility on the target database
Answer: C
Explanation:
Here's why:
Data Pump's functionality: Data Pump is designed to export and import entire database schemas, including tables, indexes, and other objects. It automatically creates the necessary structures in the target database based on the export file.
Efficiency and accuracy: Manually creating structures can be time-consuming and error-prone. Data Pump's automated process ensures consistency and efficiency.
The other actions are essential during the Migration phase:
a) Executing the Data Pump Export utility on the source database: This creates the export file containing the database schema and data.
b) Configuring Data Pump import parameters for the target database: This specifies the target database connection, import file location, and other relevant settings.
d) Executing the Data Pump Import utility on the target database: This imports the data from the export file into the target database, creating the necessary structures as needed.
NEW QUESTION # 109
Which of the following describes a key difference between Autonomous Database and a traditional Oracle Database?
(Choose two)
- A. Autonomous Database automatically scales resources based on demand.
- B. Autonomous Database automates patching and maintenance tasks.
- C. Autonomous Database requires constant manual tuning.
- D. Traditional Oracle Database can utilize machine learning for optimizations.
Answer: A,B
Explanation:
The Autonomous Database automatically scales resources based on demand and automates patching and maintenance tasks, which are not typically features of traditional Oracle Databases.
NEW QUESTION # 110
In a Zero Downtime Migration (ZDM) scenario using Oracle GoldenGate, how does the system ensure data consistency between the source and target databases during the initial data load phase?
- A. GoldenGate automatically validates and corrects data inconsistencies during the load process.
- B. Data consistency is guaranteed by replicating the commit order of transactions from source to target.
- C. The initial load process involves applying redo generated on the source after the data copy.
- D. GoldenGate utilizes checksums and verification techniques to detect and resolve data discrepancies.
Answer: B
Explanation:
GoldenGate ensures data consistency during the initial data load phase by replicating transactions in the same order they were committed on the source database. This ensures that the target database receives the same updates in the correct sequence, maintaining data integrity.
Here's a breakdown of why the other options are incorrect:
A). GoldenGate automatically validates and corrects data inconsistencies during the load process: While GoldenGate has mechanisms to detect inconsistencies, it doesn't automatically correct them. The primary method for ensuring consistency is by replicating transactions in the correct order.
B). The initial load process involves applying redo generated on the source after the data copy: This is true, but it's a secondary step to ensure that the target database is up-to-date with any changes that occurred on the source after the initial data copy. The primary method for ensuring consistency is still replicating transactions in the correct order.
D). GoldenGate utilizes checksums and verification techniques to detect and resolve data discrepancies: While checksums and verification techniques can be used to detect data discrepancies, they are not the primary method for ensuring consistency. The primary method is still replicating transactions in the correct order.
NEW QUESTION # 111
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