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New Oracle 1Z0-1194-24 Dumps Questions & New 1Z0-1194-24 Test Papers

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Oracle Cloud Database 2024 Migration Professional Sample Questions (Q103-Q108):

NEW QUESTION # 103
Which migration type would be MOST suitable for replicating the entire database schema and its data to the target environment?

A. Physical Migration using tools like RMAN or transportable tablespaces
B. Homogeneous Upgrade Migration to a newer Oracle Database version
C. Logical Migration using tools like Data Pump or SQL*Loader
D. User Interface Migration through Oracle Cloud Infrastructure (OCI) Console

Answer: A

Explanation:
Physical Migration using tools like RMAN or transportable tablespaces is the most suitable migration type for replicating the entire database schema and its data to the target environment.
Here's why:
Complete replication: Physical migration methods directly transfer the entire database or its components (like tablespaces) to the target environment, ensuring a complete replication of the schema and data.
Efficiency: RMAN and transportable tablespaces are optimized for large-scale data transfers, making them efficient for replicating entire databases.
Flexibility: These methods can be used for both homogeneous (same database version) and heterogeneous (different database version) migrations.
Control: You have more control over the migration process, including the ability to customize the transfer and recovery options.
The other options are not as suitable:
a) User Interface Migration through Oracle Cloud Infrastructure (OCI) Console: This method is typically used for simpler migrations or for specific components, not for replicating the entire database.
b) Homogeneous Upgrade Migration to a newer Oracle Database version: While this method involves replicating the database, it's primarily focused on upgrading the database version, not necessarily replicating the entire database to a different environment.
c) Logical Migration using tools like Data Pump or SQL*Loader: While these tools can be used to export and import data, they require manual creation of the schema in the target environment, which can be time-consuming and error-prone

NEW QUESTION # 104
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 # 105
Which consideration is most important when choosing an Autonomous Database (ADB) configuration for high performance and low latency?

A. Choose a more recent Autonomous Database version for compatibility with the application.
B. Select a higher service level (e.g., Performance) for the ADB instance.
C. Ensure the chosen Autonomous Database region aligns with your application.
D. Opt for an Autonomous JSON Database if the application utilizes JSON data structures.

Answer: B

Explanation:
Here's why:
Performance Optimization: Higher service levels provide additional resources like CPU, memory, and storage, which can significantly improve performance and reduce latency for demanding applications.
Workload Requirements: The chosen service level should align with the specific performance requirements of your application, ensuring that it can handle the expected workload.
While the other options are also relevant, they are not as directly related to high performance and low latency:
B). Choose a more recent Autonomous Database version for compatibility with the application. While version compatibility is important, it's not the primary factor for high performance and low latency.
C). Opt for an Autonomous JSON Database if the application utilizes JSON data structures. This is relevant if your application specifically requires JSON data structures, but it doesn't directly address high performance and low latency.
D). Ensure the chosen Autonomous Database region aligns with your application's location. While regional proximity can impact latency, it's not the most critical factor for high performance and low latency.

NEW QUESTION # 106
A company needs to migrate a large e-commerce database to a new Oracle Cloud environment with minimal disruption to online sales. Which ZDM use case best aligns with this scenario?

A. Database consolidation to reduce hardware costs and simplify management.
B. Disaster recovery site setup to ensure business continuity in case of outages.
C. Application workload migration to leverage the scalability benefits of the cloud.
D. Schema and data type conversion during migration to a new database platform.

Answer: C

Explanation:
Here's a breakdown of why:
E-commerce database migration: The primary goal of migrating a large e-commerce database to a new Oracle Cloud environment is to leverage the scalability and performance benefits of the cloud to support the growing demands of the business.
The other options are less relevant:
A). Database consolidation is typically done to reduce costs and complexity, which may not be the primary goal for an e-commerce database migration.
B). Disaster recovery site setup is important for business continuity but is not directly related to leveraging the cloud for performance and scalability.
C). Schema and data type conversion may be necessary during the migration process but is not the primary reason for migrating to the cloud in this case.

NEW QUESTION # 107
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. Utilizing the TRANSPORT_DATA parameter to include table data during import.
C. Setting the NETWORK_TIMEOUT parameter to a higher value.
D. Configuring the STATISTICS parameter to gather detailed import statistics.

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 # 108
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