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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Oracle AI Database@Azure Networking | 15% | - Network security groups - VNet peering and connectivity - Oracle.Database network attachments - DNS resolution and private connectivity - Default and advanced networking - Delegated subnets - User-defined routes - ExpressRoute and site-to-site connectivity |
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Network isolation - Database and infrastructure access control - Auditing and logging - Oracle-managed and customer-managed keys - Azure and OCI separation of duties - Transparent Data Encryption |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Monitoring and database management - Container and Pluggable Databases - Patching and maintenance - Cloning and refreshing databases - Scaling and resource management - Quotas and service limits |
| Topic 4: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Data Guard and GoldenGate - RMAN-based migration - Migration validation and cutover - Zero Downtime Migration - Migration strategy selection - Oracle Data Pump |
| Topic 5: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - Data Guard and Autonomous Data Guard - Switchover and failover - RTO and RPO considerations - Point-in-time recovery - Availability zones and Exadata redundancy - Backup and restore - High availability architecture |
| Topic 7: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Roles and permissions - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding |
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NEW QUESTION # 80
If a customer does not configure a customer-managed key, where does Oracle AI Database@Azure store the default TDE master encryption key for an Exadata database?
Answer: D
Explanation:
The default encryption-key model for an Exadata database on Oracle AI Database@Azure is Oracle- Managed Keys (OMK) . Under this model, Oracle automatically generates the Transparent Data Encryption master encryption key and stores it in an Oracle Wallet secured within the database environment.
Oracle manages the complete lifecycle of this default key, including generation, secure storage, rotation, backup, and restoration. No additional customer-side key-management infrastructure is required.
OCI Vault, Oracle Key Vault, and Azure Key Vault represent customer-managed key alternatives. When an organization selects one of these mechanisms, the TDE master key is managed outside the local Oracle Wallet, enabling centralized customer control, auditing, rotation policy, and separation of duties. However, none is the default unless the customer explicitly configures a customer-managed key architecture.
Oracle's current security documentation explicitly identifies Oracle Wallet as the default encryption-key setting for Exadata Database Service on Oracle AI Database@Azure.
Therefore, C. Oracle Wallet is correct.
Study Guide reference: Secure Oracle AI Database@Azure - TDE, Oracle-managed keys and Oracle Wallet.
NEW QUESTION # 81
Your team is preparing to migrate an on-premises database to Autonomous Database Serverless on Oracle Database@Azure using ZDM and wants to ensure that the Data Pump dump files are staged entirely within the Microsoft Azure subscription. Which storage option should you configure in the ZDM response file as the data transfer medium to meet this requirement?
Answer: A
Explanation:
The correct staging medium is an Azure Files NFS share . Oracle's ZDM documentation for Autonomous AI Database Serverless on Oracle Database@Azure explicitly supports Azure Files as an NFS file-share source for Data Pump migration staging.
In the logical migration workflow, the NFS share is made accessible to the source database and attached to the Autonomous AI Database target. Data Pump export files can therefore be written to and read from the shared location without being staged in OCI storage. Oracle specifically documents mounting Azure Files NFSv4.x and exposing the path through a database directory for Data Pump operations.
OCI Object Storage and OCI File Storage would place the staging data within OCI, violating the explicit requirement that dump files remain in the Microsoft Azure subscription. Azure Blob Storage can be accessed by Autonomous Database through DBMS_CLOUD for supported object-storage workflows, but the standard ZDM NFS-based Data Pump staging mechanism described in this question uses a mounted filesystem rather than a direct Blob REST API.
Therefore, C is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM, Autonomous AI Database Serverless, Data Pump and Azure Files NFS.
NEW QUESTION # 82
Which two are key architectural considerations that must be evaluated when designing a multicloud solution according to the Oracle Cloud Infrastructure (OCI) Multicloud Architecture Framework? (Choose two.)
Answer: A,B
Explanation:
Oracle's Multicloud Architecture Framework emphasizes architectural considerations that arise because workloads, applications, data, identities, and operational responsibilities span multiple cloud providers. Two major areas are network latency/data movement and security, identity, and operations management .
Cross-cloud network latency can directly affect application response time, database performance, replication behavior, and transaction processing. Data movement can also introduce throughput constraints and cost considerations. Oracle therefore recommends workload placement and private connectivity strategies that minimize unnecessary cross-cloud distance and traffic.
Security and operations become similarly important because each cloud provider has its own IAM, monitoring, automation, and administrative models. Oracle recommends consistent identity and access policies, unified visibility, standardized automation, and common operational practices to avoid fragmented governance or management silos.
Hardware manufacturing origin and OCI hypervisor patch schedules do not represent the principal multicloud architectural design considerations described by the framework. Hypervisor maintenance is primarily a provider operational responsibility.
Therefore, B and D align directly with Oracle's documented multicloud design pillars.
Study Guide reference: Introduction to Multicloud - latency, data movement, Cloud Security, Cloud Operations, identity integration and operational standardization.
NEW QUESTION # 83
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: A
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 # 84
What is the default CIDR block range used to create the backup subnet for an Exadata VM Cluster in Oracle AI Database@Azure if the field is left blank during provisioning?
Answer: D
Explanation:
During Exadata VM Cluster provisioning, the administrator selects the client delegated subnet and can explicitly provide a CIDR range for the Exadata backup network. If no backup-subnet CIDR is supplied, Oracle automatically uses the documented default of 192.168.252.0/22 .
The backup subnet serves Oracle database backup-network requirements and is architecturally distinct from the Azure delegated client subnet. Oracle's deployment-planning guidance emphasizes that the default backup CIDR is not part of the Azure VNet CIDR allocation. Nevertheless, address planning remains important. In disaster-recovery designs involving multiple Exadata deployments-especially cross-availability-zone or cross-region configurations-the administrator should explicitly choose non-overlapping backup CIDR blocks so that replication, routing, and backup traffic do not encounter conflicting address ranges.
Option B uses the correct network prefix but an incorrect /24 mask. Options A and D use different base networks and therefore do not match the Oracle provisioning default.
Accordingly, the correct response is C: 192.168.252.0/22 .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Exadata VM Cluster client and backup networks, CIDR planning, default backup-subnet configuration and non-overlapping network design.
NEW QUESTION # 85
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