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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which of the following considerations is MOST important when using source backups for secure migration?

  • A. Encrypting the backup file on the source system using tools like RMAN is sufficient for security.
  • B. You can leverage Oracle Data Redaction to anonymize sensitive data before backup.
  • C. Granting least privilege access to the user performing the import in OCI is essential.
  • D. The OCI Database service automatically encrypts all data during the import process.

Answer: C

Explanation:
Here's a breakdown of the other options:
A). The OCI Database service automatically encrypts all data during the import process. While OCI Database offers encryption options, it's not guaranteed that all data will be automatically encrypted during the import process, especially if specific encryption settings are not configured.
B). You can leverage Oracle Data Redaction to anonymize sensitive data before backup. This is a good practice, but it's not sufficient to ensure secure migration. You still need to protect the backup file and the data during the import process.
C). Encrypting the backup file on the source system using tools like RMAN is sufficient for security. This is partially correct, but it's not enough. You also need to ensure that the backup file is securely transferred to OCI and that the import process is performed by a user with appropriate permissions.


NEW QUESTION # 21
To optimize the target database environment in OCI, what should be reviewed?

  • A. The target database configuration and resources
  • B. The network speed between the source and target
  • C. The historical performance of the source database
  • D. The number of users accessing the database

Answer: A


NEW QUESTION # 22
During ZDM planning for a large database with high transaction volume, which factor should receive the highest priority to minimize downtime during cutover?

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

Answer: A

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 # 23
During a Data Pump import operation with a large dataset, which parameter can be used to optimize performance and minimize downtime?

  • A. Utilizing the TRANSPORT_DATA parameter to include table data during import.
  • B. Configuring the STATISTICS parameter to gather detailed import statistics.
  • C. Enabling the ROWGRANULARITY parameter for row-level import processing.
  • D. Setting the NETWORK_TIMEOUT parameter to a higher value.

Answer: C

Explanation:
Here's a breakdown of why:
ROWGRANULARITY parameter: This parameter allows for row-level import processing, which can significantly improve performance for large datasets. By processing data at the row level, Data Pump can optimize resource utilization and reduce the overall import time.
The other options are less effective for optimizing performance and minimizing downtime:
A). The NETWORK_TIMEOUT parameter is primarily used for network-related timeouts and doesn't directly impact import performance.
B). The STATISTICS parameter is used to gather detailed import statistics after the import is complete. While it can provide valuable information for analysis, it doesn't directly optimize performance during the import process.
D). The TRANSPORT_DATA parameter is used to specify whether table data should be included during the export or import operation. It's a mandatory parameter and doesn't directly impact performance.


NEW QUESTION # 24
In the context of Data Pump import with schema remapping, what does the REMAP_SCHEMA parameter facilitate?

  • A. Filtering specific data records based on user-defined criteria during import.
  • B. Renaming tables and other database objects during the import process.
  • C. Migrating user accounts and their associated privileges to the target database.
  • D. Mapping data types between source and target databases to ensure compatibility.

Answer: B

Explanation:
The REMAP_SCHEMA parameter in Data Pump is used to change the schema name of database objects during the import process. This allows you to rename tables, views, indexes, and other schema objects when migrating data from one schema to another.
Here's an example of how to use the REMAP_SCHEMA parameter:
SQL
impdp username/password DIRECTORY=DATA_PUMP_DIR DUMPFILE=dumpfile.dmp REMAP_SCHEMA=source_schema:target_schema This command will import all objects from the source_schema schema, but the schema name will be changed to target_schema on the target database.


NEW QUESTION # 25
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