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| Section | Weight | Objectives |
|---|---|---|
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Base Database Service - Provision Exadata infrastructure and clusters - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Provision Autonomous AI Database - Configure monitoring and observability - Backup and restore processes |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Autonomous AI Database - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Exadata |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding |
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68. Frage
Which two DNS endpoints can be optionally enabled when provisioning a Network Anchor for Oracle AI Database@Azure? (Choose two.)
Antwort: B,C
Begründung:
Oracle AI Database@Azure Network Anchors support DNS integration between Azure-side applications and OCI-side database networking. The two endpoint constructs used by Oracle DNS are the DNS forwarding endpoint and DNS listening endpoint .
For inbound DNS resolution from OCI toward Azure, Oracle's Network Control Plane can create a forwarding DNS endpoint and configure forwarding rules so OCI-hosted resources can forward queries toward the Azure DNS environment. Conversely, outbound resolution from Azure toward Oracle resources relies on an OCI listening DNS endpoint. The listening endpoint receives DNS requests and enables Azure or connected on- premises systems to resolve Oracle AI Database@Azure names.
The terminology is important. Oracle explicitly uses listening and forwarding endpoint constructs. "DNS replication endpoint" is not the endpoint name used for private-zone synchronization, and "DNS peering endpoint" is not an Oracle Network Anchor endpoint type. DNS-record synchronization is a separate behavior from the endpoint resource itself.
Consequently, the correct selections are A and D .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, inbound DNS, outbound DNS, forwarding endpoints and listening endpoints.
69. Frage
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Antwort: A,D
Begründung:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
70. Frage
A financial services company is deploying Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure. Their security team mandates that database traffic never traverse the public internet, and that the Azure VNet hosting the delegated subnet also connect to three separate application-tier spoke VNets in the same region. Additionally, all inter-VNet traffic must pass through a centralized network virtual appliance for inspection before reaching the delegated subnet. As the architect, you must choose the network topology that satisfies both the multi-VNet connectivity and the centralized inspection requirement.
Choose ONE.
Antwort: A
Begründung:
The intended topology is Hub-and-Spoke with centralized NVA inspection , making C the correct choice among the available answers. This architecture permits multiple application VNets to communicate privately with the Oracle database while routing inter-VNet traffic through a central firewall or Network Virtual Appliance rather than the public internet.
There is an architectural wording issue worth correcting precisely. Oracle's published reference topology normally places the Azure Firewall/NVA in the Hub VNet while Oracle Database@Azure resides in a separate Data VNet containing the delegated client subnet . Application workloads reside in spoke VNets.
The hub then provides centralized routing and inspection between the application spokes and the data VNet.
Therefore, the essential principle embodied by C- Hub-and-Spoke plus centralized NVA inspection -is correct, although the phrase "delegated subnet in the hub VNet" is not how Oracle's canonical diagram lays out the components.
Direct local peering would bypass centralized inspection, while direct Virtual WAN spoke-to-spoke communication violates the same requirement. Data Guard concerns DR, not application traffic inspection.
71. Frage
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?
Antwort: C
Begründung:
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.
72. Frage
Your team is migrating a processing-intensive workload to Oracle Autonomous AI Database Serverless on Oracle AI Database@Azure and needs to scale up the compute allocation during provisioning. What is the maximum number of ECPUs that can be configured for a single database instance using the slider user interface?
Antwort: D
Begründung:
The standard Oracle Autonomous AI Database Serverless resource-allocation interface permits the administrator to configure the base compute allocation up to 512 ECPUs using the ECPU slider. This value represents the configured base ECPU count for a single database instance rather than the potential temporary compute consumption obtainable through compute auto scaling.
Oracle distinguishes configured ECPUs from auto-scaled usage. For eligible Autonomous AI Database configurations, compute auto scaling can allow the database to consume additional processing capacity above the configured base according to workload demand. For example, a database configured with 512 ECPUs may be capable of consuming substantially more effective processing capacity when auto scaling is enabled, subject to the service and licensing model.
The 1024-ECPU option therefore does not represent the normal single-instance slider ceiling addressed by this question. The 256- and 128-ECPU values are valid intermediate configurations but are below the maximum.
Consequently, A. 512 ECPUs is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless provisioning, ECPU configuration and compute scaling.
73. Frage
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