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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Explain networking concepts - Configure DNS |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Provision Exascale infrastructure and services - Provision Autonomous AI Database - Provision Base Database Service - Configure monitoring and observability - Backup and restore processes - Create and configure Azure delegated subnet |
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure |
| Topic 5: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 6: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 7: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database - Understand Oracle Zero Downtime Migration (ZDM) |
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질문 # 19
Which service is Oracle's native, recommended tool to orchestrate and automate database-level role transitions (switchover and failover) across regions for Oracle Database@Azure?
정답：D
설명：
Oracle recommends OCI Full Stack Disaster Recovery (Full Stack DR) for orchestrating disaster-recovery operations around Oracle Database@Azure deployments.
Oracle's reference architecture for local and regional Oracle Database@Azure standbys explicitly recommends Full Stack DR to orchestrate database switchover and failover operations . The service can coordinate ordered disaster-recovery plans instead of requiring administrators to manually perform every database and infrastructure transition during an incident or DR drill.
Oracle Data Guard remains the underlying database replication and role-management technology, while Full Stack DR provides the higher-level orchestration framework for executing coordinated transitions.
Azure Site Recovery is primarily designed for Azure VM and workload replication/recovery and is not Oracle's recommended database-role orchestration service. GoldenGate provides logical replication and data integration rather than end-to-end DR orchestration. Azure Traffic Manager performs DNS-based traffic distribution and can participate in application routing, but it does not execute Oracle database switchovers or failovers.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Full Stack DR orchestration and Data Guard role transitions.
질문 # 20
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?
정답：C
설명：
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.
질문 # 21
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
정답：A,B
설명：
Oracle documents multiple Azure network patterns for application connectivity to Oracle AI Database@Azure, including VNet peering and Hub-and-Spoke VNet peering .
VNet peering enables application workloads in one Azure VNet to communicate privately with Oracle database resources exposed through a delegated subnet in another VNet. This is appropriate when relatively direct, low-latency communication is required.
A Hub-and-Spoke design introduces a central hub containing shared connectivity and security services, such as Azure Firewall, a Network Virtual Appliance, ExpressRoute gateway, or VPN gateway. Application and database VNets connect as spokes or workload/data networks, allowing centralized inspection and hybrid connectivity.
Oracle's documented topology set also includes local VNet, global connectivity, on-premises Hub-and-Spoke, and related enterprise designs. A point-to-site VPN client model is not identified as the standard application topology requested here. More fundamentally, an Oracle AI Database@Azure deployment cannot exist without an Azure VNet and delegated networking.
Therefore, the correct selections are B and C .
Study Guide reference: Configure Oracle AI Database@Azure Networking - VNet Peering and Hub- and-Spoke topologies.
질문 # 22
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
정답：A
질문 # 23
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
정답：D
설명：
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
질문 # 24
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