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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which OCI target database option is most suitable for cost-efficiency and minimal management overhead?

A. Virtual Machines (VMs) running Oracle Database software
B. Database Service with flexible resource configuration
C. Dedicated Database instances with pay-as-you-go billing
D. Autonomous Database with Automatic Workload Management (AWM)

Answer: D

Explanation:
Here's why:
Automatic Management: Autonomous Database (ADB) is a fully managed service, eliminating the need for many manual administrative tasks like patching, tuning, and backups.
Cost-Efficiency: ADB automatically scales resources based on workload demands, ensuring you pay only for what you use. Its pay-as-you-go model further optimizes costs.
Workload Management: AWM in ADB automatically optimizes resource allocation, ensuring efficient use of resources and minimizing costs.

NEW QUESTION # 28
Which migration strategy is most efficient for migrating a group of Oracle Databases with varying sizes and functionalities, where some require high availability and others are less critical?

A. A homogeneous migration strategy using the same method for all databases
B. A heterogeneous migration strategy with different methods tailored to each database
C. A single, one-size-fits-all migration approach for all databases
D. A phased migration strategy with prioritization based on criticality

Answer: B

Explanation:
A single, one-size-fits-all approach ignores the specific needs of each database.
A phased migration focuses on prioritization but may not consider the most suitable method for each database.
A homogeneous strategy might utilize a suboptimal method for some databases.
A heterogeneous strategy allows for customization. You can use ZDM for high-availability databases, Data Pump for less critical ones, and potentially choose different methods based on size and workload.

NEW QUESTION # 29
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 SQL Developer Data Pump utility for managing export/import jobs.
C. Oracle Database Migration Service (DMS) for schema conversion and data transformation.
D. Oracle GoldenGate for ongoing data replication and schema conversion.

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 # 30
Which consideration is most relevant for maintaining Oracle Database Archive Logging functionality when migrating to a target database in OCI?

A. The target database needs to be configured with the same archive log retention settings as the source.
B. OCI Object Storage can be used to archive redo logs generated on the target database in OCI.
C. Enabling Flashback Database on the target database will automatically manage archive logs.
D. You need to enable Oracle Database Automatic Data Warehousing (ADW) on the target database.

Answer: B

Explanation:
Archive log retention settings (A) are configurable on the target as well. ADW (B) is for data warehousing and doesn't directly manage archive logs. Flashback Database (D) uses archive logs but doesn't handle archiving itself. OCI Object Storage (C) provides a cost-effective and scalable solution for archiving redo logs generated on the target database in OCI.

NEW QUESTION # 31
During a Data Pump import operation with a large dataset, which parameter can be used to optimize performance and minimize downtime?

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

Answer: B

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 # 32
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