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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Container and Pluggable Databases - Cloning and refreshing databases - Quotas and service limits - Patching and maintenance - Scaling and resource management - Monitoring and database management - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Zero Downtime Migration - Data Guard and GoldenGate - Oracle Data Pump - RMAN-based migration - Migration validation and cutover |
| Configure Oracle AI Database@Azure Networking | 15% | - Default and advanced networking - Delegated subnets - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - Oracle.Database network attachments - VNet peering and connectivity - User-defined routes - Network security groups |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Secure Oracle AI Database@Azure | 15% | - Network isolation - Transparent Data Encryption - Auditing and logging - Oracle-managed and customer-managed keys - Encryption in transit - Database and infrastructure access control - Azure and OCI separation of duties |
| HA and DR with Oracle AI Database@Azure | 10% | - Switchover and failover - Data Guard and Autonomous Data Guard - Backup and restore - Point-in-time recovery - RTO and RPO considerations - High availability architecture - Availability zones and Exadata redundancy |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding - Roles and permissions - Azure subscription and OCI tenancy linking - Oracle AI Database@Azure architecture |
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NEW QUESTION # 88
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: A
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 # 89
Which service is Oracle's native, recommended tool to orchestrate and automate database-level role transitions (switchover and failover) across regions for Oracle Database@Azure?
Answer: D
Explanation:
Oracle recommends OCI Full Stack Disaster Recovery (Full Stack DR) for orchestrating disaster-recovery operations around Oracle Database@Azure deployments.
Oracle's reference architecture for local and regional Oracle Database@Azure standbys explicitly recommends Full Stack DR to orchestrate database switchover and failover operations . The service can coordinate ordered disaster-recovery plans instead of requiring administrators to manually perform every database and infrastructure transition during an incident or DR drill.
Oracle Data Guard remains the underlying database replication and role-management technology, while Full Stack DR provides the higher-level orchestration framework for executing coordinated transitions.
Azure Site Recovery is primarily designed for Azure VM and workload replication/recovery and is not Oracle's recommended database-role orchestration service. GoldenGate provides logical replication and data integration rather than end-to-end DR orchestration. Azure Traffic Manager performs DNS-based traffic distribution and can participate in application routing, but it does not execute Oracle database switchovers or failovers.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Full Stack DR orchestration and Data Guard role transitions.
NEW QUESTION # 90
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: B
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 # 91
A multicloud database administrator is deploying an Oracle Exadata VM Cluster in Oracle AI Database@Azure and has configured a client delegated subnet with the CIDR range 10.0.0.0/24. The administrator needs to verify which specific IP addresses within this delegated subnet CIDR range are automatically reserved by the system for database networking services. Based on the official network design requirements, which IP address ranges are reserved for these platform networking services? Choose ONE.
Answer: C
Explanation:
Oracle AI Database@Azure has specific client-subnet IP consumption requirements that must be considered during capacity planning. For the delegated client subnet, 13 IP addresses are reserved for networking services regardless of the number of VM Clusters deployed in that subnet .
Microsoft's Oracle AI Database@Azure networking documentation defines these 13 addresses as the first four addresses, the ninth through sixteenth addresses, and the final address of the subnet. Applied to
10.0.0.0/24, the reserved ranges are therefore 10.0.0.0-10.0.0.3, 10.0.0.8-10.0.0.15, and 10.0.0.255.
These platform reservations must be counted in addition to addresses needed for VM nodes and SCAN addresses. For example, every VM consumes multiple client-network addresses, and each VM Cluster requires SCAN addresses. Failing to account for the reserved block can therefore result in insufficient address capacity even when a subnet initially appears large enough.
Only option B precisely represents the documented reserved address positions.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet planning, client subnet sizing, reserved networking-service IP addresses and Exadata VM Cluster capacity.
NEW QUESTION # 92
Your organization is deploying a business-critical database on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. Your security and compliance officer mandates that all database backups must remain exclusively within the local Azure region to satisfy strict data residency laws, and they must be protected against ransomware using an immutable, policy-based retention lock.
Additionally, the business requires real-time database protection that reduces potential data loss to less than one second in the event of an outage. Finally, the procurement team wants to ensure that the storage cost of these backups draws down on their existing Microsoft Azure Consumption Commitment (MACC). Which backup option should you implement to meet all of these requirements? Choose ONE.
Answer: C
Explanation:
Oracle Database Autonomous Recovery Service with Azure-based storage is specifically designed to satisfy this combination of data residency, ransomware protection, near-zero data loss, and Azure commercial integration.
Oracle allows the protection policy to specify Store backups in the same cloud provider as the database , which keeps Oracle Database@Azure Recovery Service backups within Azure rather than the paired OCI region. A protection policy can also enable Retention Lock , preventing backups from being modified or deleted before policy expiration and providing protection against accidental or malicious deletion.
For business-critical databases, Real-time Data Protection can be enabled. Oracle describes this as providing recovery to the last sub-second, materially reducing potential data-loss exposure compared with ordinary periodic backups.
Oracle AI Database@Azure usage is billed through Azure Marketplace and counts toward Microsoft Azure Consumption Commitment. Standard OCI Object Storage would not satisfy the stated local-Azure-only storage requirement. Customer-managed Blob Storage lacks the integrated Recovery Service real-time protection model, while ZDLRA is an engineered on-premises recovery appliance rather than the native Oracle AI Database@Azure service.
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, retention lock, real-time protection and data residency.
NEW QUESTION # 93
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