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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
which of the following tools is most valuable for pre-processing the data before import?

A. Oracle RMAN for backup and recovery of the source database.
B. Oracle GoldenGate for ongoing data replication and schema conversion.
C. Oracle Database Migration Service (DMS) for schema conversion and data transformation.
D. Oracle SQL Developer Data Pump utility for managing export/import jobs.

Answer: C

Explanation:
Here's a breakdown of why:
DMS for pre-processing: DMS is specifically designed for heterogeneous database migrations and offers features for schema conversion, data transformation, and data cleansing. These functionalities are crucial for preparing data before import, ensuring compatibility and quality.
The other options are less suitable for pre-processing:
Oracle GoldenGate is primarily used for real-time data replication and may not be as effective for pre-processing data.
Data Pump is a utility for managing export/import jobs and doesn't provide extensive pre-processing capabilities.
RMAN is a backup and recovery tool and is not directly involved in data pre-processing.

NEW QUESTION # 41
How should GoldenGate be configured to handle the migration of materialized views and ensure data consistency on the target database?

A. Utilize GoldenGate filtering to exclude materialized views from the migration.
B. Disable materialized view refresh on the source database before and after migration.
C. Configure GoldenGate to capture DML statements that update underlying tables of materialized views.
D. Migrate materialized views after all other schema objects have been replicated.

Answer: C

Explanation:
Here's a breakdown of why:
Materialized view updates: To ensure data consistency, GoldenGate should capture DML statements that update the underlying tables of materialized views. This allows the target database to refresh the materialized views based on the changes captured from the source.
The other options are incorrect:
A). Disabling materialized view refresh on the source database is not necessary and can lead to data inconsistencies.
B). Migrating materialized views after other schema objects can introduce delays and potential inconsistencies.
C). Filtering materialized views from the migration would prevent them from being replicated to the target database, leading to data inconsistencies.

NEW QUESTION # 42
What is the most appropriate action to resolve an error indicating that the target database already exists during a migration to OCI using source backups?

A. Rename the existing target database and continue the migration.
B. Use the RMAN duplicate command to create a new target database.
C. Drop the existing target database and retry the migration.
D. Use the RMAN convert command to convert the existing target database.

Answer: C

Explanation:
Here's why:
Clear path: Dropping the existing target database ensures a clean slate for the migration and prevents any conflicts or inconsistencies.
Efficiency: This approach is straightforward and avoids unnecessary steps or complexities.
Control: By dropping the existing database, you have full control over the target environment and can ensure that it is properly configured for the migration.
The other options are not recommended:
B). Rename the existing target database and continue the migration. This might lead to confusion and potential issues if the existing database is still used for other purposes.
C). Use the RMAN duplicate command to create a new target database. This is not necessary as you can simply drop the existing database and create a new one.
D). Use the RMAN convert command to convert the existing target database. This is not applicable in this case, as the existing database is not a source database but rather a target database.

NEW QUESTION # 43
In a ZDM scenario with a large database, how does partitioning within the source database impact the technical architecture design?

A. Partitioning simplifies the architecture by reducing the number of redo apply servers needed.
B. Partitioning increases the complexity of the architecture by requiring additional staging databases.
C. Partitioning enables a rolling cutover strategy by migrating individual partitions sequentially.
D. Partitioning requires no changes to the architecture, as GoldenGate can handle all data types.

Answer: C

Explanation:
Here's a breakdown of why:
Partitioning and rolling cutover: When a database is partitioned, it can be migrated in stages, allowing for a rolling cutover. This means that individual partitions can be migrated to the target database without affecting the entire system, minimizing downtime and reducing the risk of failure.
The other options are incorrect:
A). Partitioning does require changes to the architecture. The GoldenGate configuration and the target database need to be set up to handle partitioned data.
B). Partitioning doesn't necessarily reduce the number of redo apply servers needed. It depends on the size and complexity of the partitions.
D). Partitioning doesn't require additional staging databases. The same staging database can be used for all partitions.

NEW QUESTION # 44
During ZDM planning for a large database with high transaction volume, which factor should receive the highest priority to minimize downtime during cutover?

A. Increasing the number of redo apply servers in the standby database.
B. Performing a rolling cutover by migrating individual database partitions sequentially.
C. Optimizing network bandwidth between source and target databases.
D. Selecting the most efficient data transformation techniques within the migration tool.

Answer: B

Explanation:
Here's a breakdown of why this is the most effective strategy:
Minimizes downtime: A rolling cutover allows you to switch over individual partitions of the database without affecting the entire system. This means that the application can continue to function while the migration is in progress, reducing overall downtime.
Manages risk: If there are issues with the migration of a specific partition, the impact on the overall system is limited. You can isolate and address the problem without affecting the entire database.
Leverages parallel processing: Rolling cutovers can be performed in parallel, further reducing downtime and improving efficiency.
While the other factors are also important, they are less likely to have a direct impact on minimizing downtime during the cutover itself. Network bandwidth and redo apply servers are primarily concerned with data transfer and synchronization, while data transformation techniques can affect the overall migration time but not necessarily the downtime during cutover.

NEW QUESTION # 45
......

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Use Real Oracle 1Z0-1194-24 Exam Questions And Achieve Brilliant Results

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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q40-Q45):

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