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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q79-Q84):

NEW QUESTION # 79
When considering a migration strategy, which of the following should be analyzed?

A. The hardware specifications of the source server
B. The programming languages used in the application
C. The current operating system version
D. The compatibility of source and target database versions

Answer: D

NEW QUESTION # 80
During an Oracle Database migration to OCI, which of the following statements accurately reflects the concept of a Logical Migration?

A. It focuses on replicating the schema (table definitions) and data independently.
B. It requires minimal downtime and is ideal for applications with strict availability requirements.
C. It involves copying the physical database files and associated data blocks to the target environment.
D. It utilizes tools like RMAN for backups and restores to move the entire database.

Answer: A

Explanation:
This statement accurately reflects the concept of a Logical Migration in Oracle Database migration to OCI.
Logical Migration involves:
Exporting the database schema and data from the source database into a transportable format.
Importing the exported data into the target database, creating the necessary schema structures as needed.
This approach provides flexibility and allows for customization, but it may require more manual steps and can be less efficient for large databases.

NEW QUESTION # 81
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 Data Warehouse
B. Autonomous Database Basic
C. Exadata Cloud Service Database VM
D. Database System - Virtual Machine

Answer: C

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 # 82
During a Data Pump import operation with a large dataset, which parameter can be used to optimize performance and minimize downtime?

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

Answer: A

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 # 83
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 # 84
......

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