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Oracle 1z1-1147 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Oracle AI Database@Azure Architecture and Onboarding20%- Microsoft Entra ID and OCI IAM federation
- Azure subscription and OCI tenancy linking
- Oracle AI Database@Azure architecture
- Roles and permissions
- Azure regions and OCI availability zones
- Azure Marketplace purchase and onboarding
Topic 2: Secure Oracle AI Database@Azure15%- Encryption in transit
- Auditing and logging
- Azure and OCI separation of duties
- Transparent Data Encryption
- Oracle-managed and customer-managed keys
- Database and infrastructure access control
- Network isolation
Topic 3: Provision and Operate Oracle AI Database@Azure Resources20%- Scaling and resource management
- Exadata Infrastructure and VM Clusters
- Patching and maintenance
- Monitoring and database management
- Cloning and refreshing databases
- Quotas and service limits
- Container and Pluggable Databases
- Autonomous Database Serverless
Topic 4: Migrate Oracle Databases to Oracle AI Database@Azure15%- Migration strategy selection
- Oracle Data Pump
- Migration validation and cutover
- Zero Downtime Migration
- RMAN-based migration
- Data Guard and GoldenGate
Topic 5: HA and DR with Oracle AI Database@Azure10%- Switchover and failover
- Point-in-time recovery
- Availability zones and Exadata redundancy
- Data Guard and Autonomous Data Guard
- Backup and restore
- RTO and RPO considerations
- High availability architecture
Topic 6: Configure Oracle AI Database@Azure Networking15%- ExpressRoute and site-to-site connectivity
- VNet peering and connectivity
- Oracle.Database network attachments
- User-defined routes
- Delegated subnets
- Network security groups
- DNS resolution and private connectivity
- Default and advanced networking
Topic 7: Introduction to Multicloud5%- Multicloud concepts and Oracle AI Database@Azure

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Oracle AI Database@Azure Architect Professional 1z1-1147 Prüfungsfragen mit Lösungen (Q49-Q54):

49. Frage
You are configuring a Network Anchor in the Azure Portal and want to enable the "Replicate DNS Private zones during DB creation" option to automatically copy private zones from OCI to Azure. Which database service must be associated with the Network Anchor to make this specific DNS option available?

Antwort: C

Begründung:
The Network Anchor abstraction establishes the mapping between Azure networking resources and corresponding OCI networking constructs. It is particularly important for services that use the newer multicloud anchor model, allowing an Azure VNet and delegated subnet to be associated consistently with Oracle-managed resources.
Oracle's DNS documentation explicitly restricts the Network Anchor DNS-resolution capability in question to Oracle Base Database Service . Network Anchors can provide DNS integration between Azure and OCI, including inbound and outbound resolution paths. Depending on the configuration, DNS listening and forwarding functionality can be enabled so resources on either side of the multicloud boundary can resolve the required private names.
The question's "Replicate DNS Private zones during DB creation" behavior belongs to this Base Database Service Network Anchor DNS workflow. Exadata Database Service on Dedicated Infrastructure and Exadata Database Service on Exascale Infrastructure use their documented Exadata networking and DNS provisioning mechanisms. Autonomous AI Database likewise has its own networking lifecycle and is not the service to which this Network Anchor-specific private-zone replication setting applies.
Therefore, the database service required to expose the specified option is Oracle Base Database Service .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, private DNS, inbound/outbound DNS resolution, Base Database Service networking.


50. Frage
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?

Antwort: B

Begründung:
Oracle Autonomous AI Database Serverless allows administrators to configure the automatic backup- retention window according to business recovery and compliance requirements. Oracle's current Autonomous AI Database provisioning documentation specifies an allowable automatic backup-retention range of 1 through 60 days .
Within that period, the database can be restored and recovered to an appropriate point in time, subject to the normal Autonomous AI Database backup and recovery mechanisms. A longer retention window provides a broader point-in-time recovery horizon but must also be considered alongside governance, compliance, and backup-protection requirements.
Oracle also supports Backup Retention Lock , which materially changes administrative behavior. When the retention period is locked, administrators cannot simply disable the lock or alter the protected retention setting through ordinary provisioning controls; Oracle Support intervention is required for those changes. This distinction is important for regulated workloads where backup immutability or protection from malicious administrative actions is required.
The alternatives beginning at seven days incorrectly raise the minimum, while the 30-day options incorrectly reduce the supported maximum. The complete configurable range is therefore 1-60 days .
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database automatic backups, point-in-time recovery, backup-retention configuration and retention lock.


51. Frage
Which capability is uniquely supported by the flexible VM.BaseDB.x86 virtual machine shape in Oracle Base Database Service on Oracle AI Database@Azure?

Antwort: C

Begründung:
The VM.BaseDB.x86 shape introduces a flexible ECPU allocation model for Oracle Base Database Service in Oracle AI Database@Azure. Its key capability is that administrators can modify the number of allocated ECPUs after the DB system has already been provisioned .
Oracle announced support for this shape in July 2026 and documents the ability to create and manage Base Database DB systems with flexible ECPU allocation. In the resource-management workflow, the administrator can select the option to update the ECPU count and save the revised configuration. Supported systems using VM.Standard.x86 can also be migrated to the new flexible shape.
The shape does not provide independent arbitrary memory scaling divorced from its compute model. It does not convert database storage into local logical volumes. Most importantly, Oracle explicitly states that Oracle Real Application Clusters (RAC) is not supported for this Base Database configuration, eliminating option C.
Therefore, the defining capability represented in the choices is D: modification of ECPU allocations after provisioning .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Oracle Base Database Service, VM.BaseDB.x86 flexible shape and ECPU scaling.


52. Frage
You have selected the custom FQDN option and specified your own domain during Exadata VM Cluster provisioning in Oracle AI Database@Azure. What must you do afterward to ensure name resolution works from your production DNS zone?

Antwort: C

Begründung:
When an architect selects Custom DNS/FQDN , the database cluster is created using the organization's chosen DNS namespace instead of relying exclusively on Oracle's default automatically managed oraclevcn.
com private-zone behavior.
The important operational requirement is that application clients must be able to resolve the Exadata cluster's connection endpoints. That includes the Single Client Access Name (SCAN) and the relevant Virtual IP (VIP) records. Because the organization controls the custom production DNS namespace, those records must be represented in that DNS environment so client applications can resolve the cluster correctly.
Disabling OCI private DNS would damage internal Oracle name resolution rather than extending resolution to the enterprise DNS system. Waiting for Oracle to create a default oraclevcn.com zone does not satisfy a custom-domain deployment, and reverting to default DNS would defeat the original custom-FQDN design.
Therefore, the required action is to manually duplicate or publish the SCAN and VIP records in the production DNS zone .
Study Guide reference: Configure Oracle AI Database@Azure Networking - custom FQDN, SCAN
/VIP records and enterprise DNS integration.


53. Frage
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.)

Antwort: B,D

Begründung:
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.


54. Frage
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