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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Configure monitoring and observability - Provision Autonomous AI Database - Provision Base Database Service - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Backup and restore processes - Provision Exadata infrastructure and clusters |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Configure prerequisites for onboarding - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture |
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Explain networking concepts - Configure DNS |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
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NEW QUESTION # 90
Your organization is migrating a critical core banking system from an on-premises Oracle Database 12c (12.1.0.2) on IBM AIX to Oracle Exadata Database Service on Dedicated Infrastructure (ExaDB-D) on Oracle Database@Azure. The target database on ExaDB-D must be provisioned on Oracle Database 19c, requiring a cross-platform and cross-version migration. Because this is a 24/7 billing system, the business mandates that the application downtime must be limited to only the few minutes required for the final switchover. The migration architect requires a workflow that performs initial schema loading via Data Pump and utilizes real-time transaction replication to keep the target in sync until switchover. As the migration architect, which Zero Downtime Migration (ZDM) workflow satisfies all of these requirements? Choose ONE.
Answer: A
Explanation:
The required workflow is ZDM Logical Online Migration . The defining requirements are cross-platform migration, database-version change, Data Pump initial loading, ongoing transaction replication, and minimal cutover downtime.
ZDM Logical Online uses Oracle Data Pump to establish the initial target data set and Oracle GoldenGate to capture and replicate transactions occurring on the source while the bulk migration is underway. Once the target is synchronized, ZDM coordinates the final cutover, reducing application interruption to the controlled switchover period.
This logical model is appropriate for migrations such as IBM AIX to Linux-based Exadata because logical migration is not dependent on source and target having identical physical database-file formats or endian architectures. It also accommodates supported cross-version migrations.
Logical Offline also uses Data Pump but does not maintain continuous GoldenGate synchronization and therefore requires substantially greater application downtime. Physical migration uses RMAN/Data Guard and is constrained by physical compatibility requirements, making it unsuitable for the described cross-platform transformation.
Thus, B is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate.
NEW QUESTION # 91
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
Answer: C
Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
NEW QUESTION # 92
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 # 93
Where is a long-term retention backup in the Oracle Database Autonomous Recovery Service automatically moved after its first 24 hours of storage?
Answer: B
Explanation:
Oracle Database Autonomous Recovery Service supports Long-Term Retention (LTR) backups for organizations that need to preserve full database backups for compliance, regulatory, legal, or business requirements. The correct destination is the OCI Object Storage Infrequent Access tier .
The question source specifies that the LTR backup initially remains in the standard storage tier and transitions after the first 24 hours to Infrequent Access storage for the remainder of its retention period. Oracle's Recovery Service documentation independently confirms that long-term retention backups are stored in the Object Storage Infrequent Access tier and can be retained for periods extending up to ten years.
The Infrequent Access tier is appropriate because LTR backups are retained for extended periods but are generally restored less frequently than operational backups. Archive Storage is not the managed destination used by Recovery Service for this workflow. Azure Archive Blob Storage is likewise not the Oracle-managed OCI storage tier identified for these backups, and there is no "OCI Legacy Backup" storage tier.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous Recovery Service, LTR backups, retention and storage lifecycle.
NEW QUESTION # 94
Your company wants to purchase Oracle Exadata Database Service on Dedicated Infrastructure via the Azure Marketplace but finds that it is only eligible through custom Private Offers. Which alternative high- performance database service should you select that is eligible for purchase via both Public Offers and Private Offers in the Azure Marketplace?
Answer: B
Explanation:
Oracle's current Oracle AI Database@Azure service matrix explicitly identifies Oracle Exadata Database Service on Exascale Infrastructure as eligible for both Private Offer and Public Offer purchasing models.
A Public Offer uses a pay-as-you-go Azure Marketplace model and allows customers to begin consuming supported services without first negotiating a custom contract with Oracle Sales. A Private Offer is based on negotiated commercial terms and is appropriate for enterprise commitments and customized pricing.
Exadata Database Service on Dedicated Infrastructure is Private Offer eligible but not Public Offer eligible.
The same Private-Offer-only restriction applies to Autonomous AI Database on Dedicated Exadata Infrastructure. Oracle Database Autonomous Recovery Service is a database protection service rather than the alternative primary high-performance Exadata database platform requested by the scenario, and it is also listed as Private Offer only.
Exascale therefore combines Exadata database capabilities with a lower-entry, elastic shared-infrastructure model and marketplace flexibility.
Thus, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure Marketplace offers and available database services.
NEW QUESTION # 95
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