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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q50-Q55):

NEW QUESTION # 50
Which type of Autonomous Database (ADB) is most suitable for a large, read-mostly database where scalability and manageability are key considerations?

A. Autonomous Database Dedicated
B. Autonomous Database Single Instance
C. Autonomous Data Warehouse (ADW)
D. Autonomous JSON Database

Answer: C

Explanation:
Autonomous Data Warehouse (ADW) is the most suitable Autonomous Database (ADB) option for a large, read-mostly database where scalability and manageability are key considerations.
Here's why:
Scalability: ADW is designed to handle massive datasets and complex queries efficiently. It can scale both vertically (by increasing resources) and horizontally (by adding more nodes) to accommodate growing workloads.
Read-Heavy Workloads: ADW is optimized for read-heavy workloads, making it ideal for scenarios where data is frequently queried but less frequently updated.
Manageability: Autonomous Database, including ADW, is fully managed by Oracle, eliminating the need for extensive database administration tasks.
This reduces operational overhead and allows you to focus on your core business.
While other ADB options might be suitable for different use cases, ADW's specific features and optimizations make it the best choice for large, read-mostly databases that require scalability and manageability.

NEW QUESTION # 51
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. Employing a staged cutover approach, migrating schemas or partitions sequentially.
C. Utilizing supplemental logging on the target database to capture additional information for troubleshooting.
D. Enabling archive logging on the source database before starting the migration.

Answer: B

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 # 52
Which OCI target database option is the most cost-efficient choice for a development database with frequent schema changes?

A. Database System Class with Bare Metal
B. Autonomous Database (ADB) Free Tier
C. Exadata Cloud Service
D. Autonomous Database (ADB) Single Instance

Answer: B

Explanation:
Here's why:
Free Usage: The Autonomous Database Free Tier offers a free tier with limited resources, which is ideal for development environments.
Schema Changes: Autonomous Database is designed for frequent schema changes and automatically handles tasks like patching, backups, and tuning, reducing administrative overhead and costs.
Scalability: If your development database grows, you can easily upgrade to a paid tier.
While the other options offer more resources and features, they might not be as cost-effective for a development database with frequent schema changes.
A). Database System Class with Bare Metal: This option provides the highest level of control and customization but is also the most expensive.
B). Autonomous Database (ADB) Single Instance: This is a paid option that offers more resources than the Free Tier but might not be the most cost-effective for development purposes.
D). Exadata Cloud Service: This is a high-performance option that is not suitable for development databases due to its cost.

NEW QUESTION # 53
During GoldenGate monitoring, you observe a significant increase in redo log files on the source database. What potential cause could explain this phenomenon?

A. GoldenGate commit cycles are configured with a low frequency.
B. The source database is experiencing high transaction volume.
C. GoldenGate is capturing zbyt many DML statements.
D. The target database is lagging behind the source in replication.

Answer: B

Explanation:
Here's a breakdown of why:
High transaction volume: When the source database experiences a significant increase in transaction volume, it generates more redo logs. This is a normal behavior and is not necessarily a cause for concern.
The other options are less likely:
A). If GoldenGate is capturing too many DML statements, it would likely lead to performance issues on the source database, not an increase in redo log files.
C). A low commit frequency could lead to delays in data replication but wouldn't directly cause an increase in redo log files on the source database.
D). If the target database is lagging behind the source in replication, it might lead to increased redo log files on the target database, not the source.
Therefore, high transaction volume on the source database is the most likely cause for the observed increase in redo log files.

NEW QUESTION # 54
Which GoldenGate component is essential for establishing connectivity and data conversion between the source and target databases?

A. Extract
B. Manager
C. Replicat
D. Decoder

Answer: D

Explanation:
Here's a breakdown of why:
Decoder: The Decoder component in GoldenGate is responsible for decoding the redo logs from the source database and converting the data into a format that can be understood by the Replicat process. It plays a crucial role in establishing connectivity and ensuring data consistency between the source and target databases.
The other options are not directly responsible for connectivity and data conversion:
A). The Manager component coordinates the overall GoldenGate process but doesn't handle data conversion.
B). The Replicat component applies data changes to the target database but doesn't handle data conversion.
C). The Extract component captures data changes from the source database but doesn't handle data conversion.

NEW QUESTION # 55
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