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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding |
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exascale infrastructure and services - Create and configure Azure delegated subnet - Provision Base Database Service - Backup and restore processes - Provision Autonomous AI Database - Provision Exadata infrastructure and clusters - Configure monitoring and observability |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
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NEW QUESTION # 26
Which two network routing capabilities or controls are supported when configuring User Defined Routes (UDR) within the delegated subnets of Oracle AI Database@Azure? (Choose two.)
Answer: B,C
Explanation:
Azure User-Defined Routes provide explicit Layer-3 forwarding control for traffic entering or leaving an Oracle AI Database@Azure delegated subnet. Oracle's documented network topologies use UDRs to direct application, on-premises, and database traffic through prescribed next hops such as an Azure Firewall or Network Virtual Appliance. This enables architects to construct custom network routing paths between on- premises systems and Exadata databases and exercise granular routing control across hybrid infrastructure .
In a Hub-and-Spoke deployment, for example, UDRs on application spokes can force database-bound traffic through the hub firewall, while corresponding routes on the Oracle AI Database@Azure spoke provide a symmetric return path. This is an architectural routing control, not a dynamic-routing protocol. ExpressRoute path selection is governed by BGP and ExpressRoute configuration rather than by a UDR automatically choosing between circuits.
Likewise, UDRs do not override Oracle-managed control-plane connectivity or scheduled lifecycle- management routes. Those functions remain under the service architecture.
Therefore, A and C are the supported routing capabilities. Study Guide reference: Configure Oracle AI Database@Azure Networking - UDRs, delegated subnets, hybrid connectivity, Hub-and-Spoke routing.
NEW QUESTION # 27
You are planning a ZDM Physical Online migration of a 10 TB production database to Exadata on Oracle Database@Azure and want to avoid using intermediate storage for backups. Which database creation method will ZDM automatically utilize to build the target database directly from the source database?
Answer: A
Explanation:
Oracle's preferred ZDM Physical Online workflow for Oracle Database@Azure supports direct data transfer
, specifically to avoid staging large RMAN backups in intermediate object or file storage. In this workflow, ZDM creates the target database using the Restore From Service method.
RMAN streams the required database blocks directly from the source database service to the target environment over the configured network connection. After the target database has been instantiated, Oracle Data Guard maintains synchronization between source and target by transporting and applying redo. ZDM then orchestrates the cutover when the migration reaches the appropriate stage.
This approach is particularly significant for a large database such as the 10 TB system in the scenario because intermediate backup staging would require substantial temporary storage, additional I/O, and backup-transfer operations. Oracle explicitly states that the physical online direct-data-transfer workflow creates the target through Restore From Service and avoids backing up the source to an intermediate storage location.
Backup and Restore therefore describes the physical offline/staged model. Transportable Tablespaces is not the standard ZDM physical-online instantiation mechanism.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Physical Online, direct data transfer, RMAN Restore From Service and Data Guard.
NEW QUESTION # 28
You are planning to migrate an on-premises Oracle Database to an Autonomous Database Serverless target on Oracle Database@Azure. Which migration workflow families are supported by Zero Downtime Migration (ZDM) to accomplish this task?
Answer: B
Explanation:
For an Autonomous AI Database Serverless target, Oracle Zero Downtime Migration supports Logical Online and Logical Offline migration workflows.
Logical migration is necessary because Autonomous AI Database Serverless abstracts the underlying physical database infrastructure and does not expose the file-system and database-host control required for a conventional physical RMAN/Data Guard migration. ZDM therefore operates through logical database migration technologies.
Logical Offline uses Oracle Data Pump export and import to instantiate the target. Logical Online adds Oracle GoldenGate to the workflow so changes occurring on the source after the initial data load are captured and applied to the target until final cutover, greatly reducing application downtime.
Oracle's Oracle Database@Azure migration documentation explicitly lists these two workflows for migration to Autonomous Database Serverless. Physical Online and Physical Offline workflows apply to supported customer-managed Oracle database targets, such as Exadata Database Service, rather than Autonomous Serverless.
Therefore, A is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - Autonomous AI Database Serverless migration workflow support.
NEW QUESTION # 29
An enterprise deploys its core financial application database on Oracle Base Database Service in OCI, and its risk compliance officer mandates that off-site recovery points must be stored entirely outside OCI to protect against regional cloud failure. Which multicloud use case should the cloud architect implement to meet this compliance requirement?
Answer: A
Explanation:
The requirement is specifically to place backup recovery points outside the cloud that hosts the production database . Oracle identifies this as the Cross-Cloud Backups multicloud use case.
In a cross-cloud backup architecture, production data hosted in one cloud is backed up to a different cloud provider. Oracle describes this pattern as providing protection against failures, operational mistakes, attacks, or other incidents affecting the primary cloud. Because the secondary copy is located outside the original cloud environment, it also provides an additional isolation boundary that can satisfy organizational or regulatory requirements for off-site backups.
An application/database split-stack design solves a different problem: it places application and database tiers in different clouds to exploit provider-specific capabilities. Horizontal workload distribution spreads active workloads across providers, while production/development separation assigns lifecycle environments to different clouds. Neither inherently guarantees an independently located backup recovery point.
The scenario is therefore a direct match for Oracle's Cross-Cloud Backups pattern.
Study Guide reference: Introduction to Multicloud - Cross-Cloud Backups, resilience, data protection and provider diversification.
NEW QUESTION # 30
You have provisioned an Exadata VM Cluster on Exascale Infrastructure with 8 ECPUs per VM and a 300 GB Exascale Database Storage Vault. Your workload has grown and additional compute capacity is now required. What should you do?
Answer: D
Explanation:
Elastic resource allocation is a fundamental design characteristic of Oracle Exadata Database Service on Exascale Infrastructure . A VM requires a minimum of 8 enabled ECPUs at initial provisioning, but its compute allocation can subsequently be increased in 4-ECPU increments .
Oracle's Exascale architecture draws compute resources from Oracle-managed shared infrastructure rather than requiring the customer to purchase or provision dedicated database servers. This permits a customer to start with a relatively small footprint and increase capacity as workload requirements develop.
The workload therefore does not need to be migrated to Dedicated Infrastructure merely because additional processing power is required. Nor is it necessary to destroy and rebuild the VM Cluster or create an entirely new Exadata Infrastructure resource. Exascale is specifically intended to avoid those fixed-capacity operational patterns.
Oracle additionally supports online scaling of Exascale storage independently through the associated Database Storage Vault, reinforcing the service's elastic consumption model.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elastic ECPU scaling.
NEW QUESTION # 31
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