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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 5: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 7: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
>> Latest Oracle 1z0-1147 Exam Questions <<
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NEW QUESTION # 77
Which capability is uniquely supported by the flexible VM.BaseDB.x86 virtual machine shape in Oracle Base Database Service on Oracle AI Database@Azure?
Answer: C
Explanation:
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.
NEW QUESTION # 78
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
Answer: B
Explanation:
Oracle owns and operates the underlying Exadata infrastructure layer used by Oracle AI Database@Azure, even though that infrastructure is physically located in Microsoft Azure data centers.
Consequently, Oracle performs infrastructure-level maintenance, patching, security updates, monitoring, and lifecycle operations.
Oracle-managed Exadata infrastructure components include the physical database-server hosts, storage servers, network fabric, hypervisor or virtualization infrastructure, firmware, management components, and control-plane systems. Microsoft supplies the Azure data-center environment and associated Azure platform capabilities, but Microsoft support engineers do not maintain Oracle's Exadata hardware/software stack.
The customer retains responsibility for customer-controlled portions of co-managed database environments, including database configuration and, depending on service and maintenance model, guest VM, Grid Infrastructure, database homes, and database software lifecycle activities. Oracle has also introduced optional Oracle-managed database software update capabilities for applicable newer Exadata services, but that does not change responsibility for the underlying infrastructure.
Therefore, C correctly identifies Oracle's Cloud Infrastructure operations organization.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - shared operational responsibility and Exadata infrastructure maintenance.
NEW QUESTION # 79
A company runs Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure and must retain full database backups for up to 10 years to satisfy a financial services regulation. The compliance team also requires that these backups cannot be deleted or have their retention shortened before the mandated period expires, even by an administrator with backup-delete permissions. As the architect, you must select the backup configuration that satisfies both the long retention period and the immutability requirement. Choose ONE.
Answer: C
Explanation:
The correct solution combines Oracle Database Autonomous Recovery Service Long-Term Retention (LTR) with Retention Lock .
Recovery Service permits an LTR backup to be retained for up to 3,650 days-10 years . LTR backups are independent of the normal operational backup window and are designed specifically for compliance, regulatory, legal, and archival requirements.
Retention Lock adds the required immutability control. Oracle describes Retention Lock as an enforcement mechanism that protects retained backups against inadvertent changes and malicious actions such as ransomware. Once governed by the locked protection policy, backup retention cannot simply be shortened or deleted through normal backup-administration privileges before the protected period expires.
A 60-day Object Storage policy fails the ten-year requirement. Manual NFS backups lack the managed LTR and retention-lock framework, while Data Guard standby databases solve availability and disaster-recovery problems rather than replacing governed backup retention.
Therefore, C uniquely satisfies both long-term retention and immutability.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, LTR and Retention Lock.
NEW QUESTION # 80
Your development team is trying to establish a private network connection from an Azure Container Apps environment to an Exadata database on Oracle AI Database@Azure, but the connection keeps timing out.
Which feature must you enable on your database virtual network (VNet) to resolve this compatibility issue?
Answer: D
Explanation:
Oracle explicitly requires Advanced Networking for compatibility between Oracle AI Database@Azure and certain Azure services that use specialized private-networking behavior. Oracle's troubleshooting documentation specifically identifies Azure Container Apps and serverless services such as Azure Functions using private endpoints as examples.
Without Advanced Networking, these services may be unable to establish supported connectivity to the Oracle AI Database@Azure delegated subnet even when basic VNet routing appears correct. The feature enables the enhanced networking capabilities required for these communication patterns and is also relevant to Global VNet Peering scenarios.
Oracle notes an important provisioning condition: Advanced Networking should be enabled before Oracle AI Database@Azure resources/VNICs have been provisioned in the delegated subnet for the feature to be applied correctly to subsequent resources.
An NVA route bypass does not provide this compatibility feature. FastConnect is an OCI dedicated- connectivity technology, and ExpressRoute Global Reach addresses ExpressRoute interconnection scenarios rather than the specific Azure Container Apps compatibility requirement.
Thus, C. Advanced Networking is the documented solution.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking, delegated subnet connectivity, Azure Container Apps and serverless/private endpoint integration.
NEW QUESTION # 81
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
Answer: A,D,E
Explanation:
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
NEW QUESTION # 82
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