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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 2: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
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NEW QUESTION # 77
You have configured automatic backups for an Exadata Database using Object Storage with a 30-day retention period. A new compliance requirement now mandates that full backups be retained for up to 10 years with immutability. What should you do?
Answer: B
Explanation:
Oracle Database Autonomous Recovery Service provides the specific capabilities required for multi-year database backup retention combined with immutability .
Oracle's Long-Term Retention capability allows a full database backup to be retained for up to ten years .
This addresses regulatory requirements that exceed ordinary operational backup-retention windows. Recovery Service additionally supports Retention Lock , which prevents protected backups from being modified or deleted before the configured retention period expires. This provides a database-aware immutability mechanism suitable for ransomware, malicious-administrator, and compliance-protection scenarios.
Merely increasing a standard Object Storage backup retention value does not provide the same Recovery Service lifecycle, recoverability validation, protection-policy model, or database-specific retention locking.
NFS likewise does not introduce a managed ten-year immutable recovery framework. Manual on-demand backups also fail to provide policy-enforced retention and introduce unnecessary operational risk.
The combination of Recovery Service, LTR, and Retention Lock directly addresses both requirements in the question: ten-year retention and immutability .
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, Long- Term Retention and Retention Lock.
NEW QUESTION # 78
Which two Microsoft Azure resource providers must be registered in your Azure subscription as prerequisites to both onboard with and provision resources in Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Oracle AI Database@Azure depends on Azure Resource Manager provider namespaces that expose the Oracle service and its underlying infrastructure integration. Among the listed choices, the required providers are Microsoft.BareMetal and Oracle.Database .
Oracle.Database is the Azure resource-provider namespace through which Oracle database multicloud resources are represented and managed in Azure. This includes Oracle AI Database@Azure database-resource lifecycle operations and integration with delegated networking. Microsoft.BareMetal supports the Azure-side integration with specialized Oracle infrastructure physically deployed within Azure facilities.
Current Microsoft onboarding documentation also lists Microsoft.Network and Microsoft.Compute among resource providers required for a fully provisionable subscription. However, those names are not offered as valid alternatives in this question. Microsoft.VirtualMachine is not the correct provider namespace-standard Azure compute uses Microsoft.Compute. Likewise, Oracle.Exadata is not the service namespace; Oracle AI Database@Azure resources are represented under Oracle.Database.
Therefore, among the supplied answer set, B and D are correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure subscription prerequisites, resource-provider registration and Oracle.Database integration.
NEW QUESTION # 79
Which Recovery Manager (RMAN) method is recommended by Oracle Maximum Availability Architecture (MAA) and used by Zero Downtime Migration (ZDM) when direct data transfer is enabled?
Answer: A
Explanation:
For ZDM physical online migrations using direct data transfer , Oracle's Maximum Availability Architecture pattern uses RMAN's Restore From Service capability. Rather than first creating backup pieces in a staging location, transporting them, and then restoring them on the target, RMAN restores the target database directly across the network from the source service.
This design reduces intermediate storage requirements and simplifies the migration pipeline. Once the target database has been instantiated, ZDM automatically configures Oracle Data Guard and uses redo transport to maintain synchronization until the planned switchover. The combination of Restore From Service and Data Guard is the central technical pattern Oracle documents for physical online migration to Exadata Database Service on Oracle AI Database@Azure.
Although DUPLICATE ... FROM ACTIVE DATABASE is a legitimate RMAN cloning capability in other contexts, it is not the named method documented for this ZDM direct-data-transfer workflow. Compressed backup-set streaming and incremental image-copy pushing also imply different backup/staging mechanisms.
Therefore, Restore From Service is the MAA-aligned RMAN method represented by the scenario.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - MAA, ZDM Physical Online migration, RMAN direct data transfer and Restore From Service.
NEW QUESTION # 80
What is the subnet requirement for configuring an OCI Hub VCN to enable transit routing for Active Data Guard traffic between Oracle Database@Azure regions?
Answer: A
Explanation:
Oracle's reference architecture for multi-region Oracle Database@Azure disaster recovery explicitly states that no subnet is required in the Hub VCN to enable transit routing .
The Hub VCN serves primarily as a routing construct connecting gateways and route-table attachments.
DRGs, Local Peering Gateways, Remote Peering Connections, and VCN route tables provide the required network forwarding between the Oracle Database@Azure Child Site VCNs and remote regions. Because the hub does not need to host compute instances or network virtual appliances for this gateway-based transit model, it does not require a workload subnet.
This has an additional design benefit: the hub VCN can use a comparatively small CIDR range because there is no requirement to reserve substantial address space for servers or VNICs.
A public subnet and Internet Gateway are unnecessary because Data Guard traffic should traverse private cloud networking. Likewise, dedicated /24 transit-appliance subnets or per-availability-domain private subnets are not mandatory for the gateway-based topology.
Therefore, D is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - cross-region Data Guard, OCI Hub VCN and transit routing.
NEW QUESTION # 81
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?
Answer: D
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.
NEW QUESTION # 82
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