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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Roles and permissions - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Microsoft Entra ID and OCI IAM federation |
| Topic 2: HA and DR with Oracle AI Database@Azure | 10% | - RTO and RPO considerations - Switchover and failover - Data Guard and Autonomous Data Guard - Point-in-time recovery - Backup and restore - High availability architecture - Availability zones and Exadata redundancy |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Autonomous Database Serverless - Patching and maintenance - Monitoring and database management - Cloning and refreshing databases - Container and Pluggable Databases - Scaling and resource management - Quotas and service limits - Exadata Infrastructure and VM Clusters |
| Topic 4: Configure Oracle AI Database@Azure Networking | 15% | - VNet peering and connectivity - DNS resolution and private connectivity - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity - Delegated subnets - Network security groups - User-defined routes - Default and advanced networking |
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Azure and OCI separation of duties - Network isolation - Auditing and logging - Database and infrastructure access control - Transparent Data Encryption - Encryption in transit - Oracle-managed and customer-managed keys |
| Topic 6: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 7: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Oracle Data Pump - RMAN-based migration - Zero Downtime Migration - Data Guard and GoldenGate - Migration validation and cutover - Migration strategy selection |
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NEW QUESTION # 17
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
Answer: B,D
Explanation:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
NEW QUESTION # 18
Your database administrator enabled a backup retention lock on an Autonomous AI Database in Oracle AI Database@Azure but now needs to reduce the retention period. What must you do to disable this retention lock or alter the retention period?
Answer: C
Explanation:
Backup Retention Lock is a protection mechanism intended to prevent administrators or compromised credentials from prematurely reducing the recoverability window of Autonomous AI Database backups. Once the lock is established, normal administrative interfaces cannot simply disable it or reduce the protected backup-retention period.
Oracle's Autonomous AI Database documentation explicitly states that after the backup retention lock has been set, the option cannot be disabled or the retention period changed through ordinary database administration. To disable the lock or modify the locked retention setting, the administrator must file a Service Request with Oracle Cloud Support .
This design provides an administrative separation between ordinary database management and an action that could materially weaken backup protection. Changing an Azure Key Vault key has no relationship to the retention-policy lock. An SQL ALTER DATABASE command cannot override a service-level backup governance control, and the Azure Portal does not expose a supported bypass to reduce the locked period.
Accordingly, A is the only supported escalation path in the choices.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database backup protection, retention policy, retention lock and operational security controls.
NEW QUESTION # 19
You have completed onboarding using the Pay As You Go offer for Oracle AI Database@Azure. You now attempt to provision Oracle Exadata Database Service on Dedicated Infrastructure and the option isn't available. What should you do?
Answer: B
Explanation:
Oracle's current service-availability matrix states that Oracle Exadata Database Service on Dedicated Infrastructure is eligible for Private Offer only . It is not available through the Public Offer/Pay As You Go purchasing model.
Therefore, if an organization originally onboarded Oracle AI Database@Azure using the Public Offer and subsequently requires Dedicated Exadata Infrastructure, the commercial relationship must be changed by engaging Oracle Sales and obtaining the appropriate Private Offer .
A delegated-subnet service-limit increase affects networking capacity and does not enable a database service that is excluded by the selected Marketplace offer. BYOL can reduce Oracle Database licensing charges where eligible, but licensing model and Marketplace service eligibility are separate issues. Changing an Autonomous Database workload type is completely unrelated to Exadata hardware procurement.
Oracle's current service table also shows why the confusion can arise: Exadata Database Service on Exascale Infrastructure is available through both Public and Private Offers, whereas Exadata Database Service on Dedicated Infrastructure remains Private Offer only.
Therefore, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - offer eligibility and Dedicated Infrastructure purchasing.
NEW QUESTION # 20
You have enabled automatic backups on an Autonomous AI Database with a 30-day retention period. You subsequently terminate the Autonomous Container Database. What happens to the previously retained automatic backups?
Answer: B
Explanation:
Oracle Autonomous Container Database backup configuration includes an explicit backup-retention policy on termination . Administrators can select one of two supported behaviors: retain backups according to the normal configured backup-retention period, or retain them for 72 hours after termination and then delete them .
Oracle documentation identifies these options as RETAIN_PER_RETENTION_WINDOW and RETAIN_FOR_72_HOURS. The latter is the default in relevant API/Terraform configuration. Therefore, terminating an Autonomous Container Database does not inherently result in the immediate deletion of all automatic backups. Their post-termination lifetime is governed by the configured termination-retention policy.
Standard automatic backups are also not automatically converted into Long-Term Retention backups when the database is terminated. LTR backups have their own lifecycle and are explicitly excluded from the ordinary ACD termination-retention setting. No automatic export to Azure Blob Storage occurs as part of ACD termination.
Thus, B correctly reflects Oracle's documented post-termination backup behavior.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Container Database automatic backups, termination and retention policy.
NEW QUESTION # 21
You have provisioned an Exadata VM Cluster on Exascale Infrastructure with 8 ECPUs per VM and a 300 GB Exascale Database Storage Vault. Your workload has grown and additional compute capacity is now required. What should you do?
Answer: B
Explanation:
Elastic resource allocation is a fundamental design characteristic of Oracle Exadata Database Service on Exascale Infrastructure . A VM requires a minimum of 8 enabled ECPUs at initial provisioning, but its compute allocation can subsequently be increased in 4-ECPU increments .
Oracle's Exascale architecture draws compute resources from Oracle-managed shared infrastructure rather than requiring the customer to purchase or provision dedicated database servers. This permits a customer to start with a relatively small footprint and increase capacity as workload requirements develop.
The workload therefore does not need to be migrated to Dedicated Infrastructure merely because additional processing power is required. Nor is it necessary to destroy and rebuild the VM Cluster or create an entirely new Exadata Infrastructure resource. Exascale is specifically intended to avoid those fixed-capacity operational patterns.
Oracle additionally supports online scaling of Exascale storage independently through the associated Database Storage Vault, reinforcing the service's elastic consumption model.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elastic ECPU scaling.
NEW QUESTION # 22
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