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  1. Home
  2. Oracle Certification
  3. 1Z0-1194-24 Exam
  4. Oracle.1Z0-1194-24.v2025-03-17.q51 Dumps
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Question 11

Which characteristic of Autonomous Database (ADB) makes it a suitable option for high availability requirements?

Correct Answer: D
This feature ensures that the database can continue to operate in case of a failure in the primary region, providing high availability and minimizing downtime.
Here's a breakdown of the other options:
A). ADB offers various deployment models, including single instance and multi-tenant. While deployment models are important for flexibility, they don't directly address high availability.
B). ADB provides automatic patching and backups, minimizing administrative overhead. These features contribute to database health and management, but they don't guarantee high availability.
C). ADB leverages Oracle Real Application Clusters (RAC) technology for high availability. While RAC is a high availability solution, it's typically used for on-premises deployments. Autonomous Database offers a different approach to high availability based on disaster recovery capabilities.
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Question 12

Which of the following is a limitation of using GoldenGate for migrations? (Select all that apply)

Correct Answer: A,C
GoldenGate can be more complex to configure and may incur higher costs due to licensing compared to simpler tools like Data Pump.
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Question 13

What is a key characteristic of 'offline migration'?

Correct Answer: B
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Question 14

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

Correct Answer: D
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
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Question 15

A large financial institution needs to migrate its customer database to a more robust platform to handle increased transaction volume. Which ZDM use case best suits this scenario?

Correct Answer: A
Here's a breakdown of why:
Increased transaction volume: A financial institution dealing with a large customer database and increased transaction volume needs a robust platform that can handle the load. Cloud platforms often offer high availability features, such as redundancy and fault tolerance, which can ensure uninterrupted service even in case of failures.
The other options are less relevant:
B). Data archiving is typically done to offload inactive data and free up storage space, which may not be the primary goal in this case.
C). Schema optimization is more focused on improving performance on the existing database platform, which might not be sufficient to handle the increased transaction volume.
D). Data cleansing and deduplication are important for data quality but may not directly address the need for a more robust platform to handle increased workload.
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