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| Section | Weight | Objectives |
|---|---|---|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding - Roles and permissions |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Scaling and resource management - Exadata Infrastructure and VM Clusters - Autonomous Database Serverless - Patching and maintenance - Container and Pluggable Databases - Cloning and refreshing databases - Quotas and service limits - Monitoring and database management |
| HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - Switchover and failover - Point-in-time recovery - Data Guard and Autonomous Data Guard - Availability zones and Exadata redundancy - High availability architecture - RTO and RPO considerations |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - VNet peering and connectivity - Delegated subnets - Oracle.Database network attachments - Default and advanced networking - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - Network security groups |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - RMAN-based migration - Data Guard and GoldenGate - Migration strategy selection - Zero Downtime Migration - Migration validation and cutover - Oracle Data Pump |
| Secure Oracle AI Database@Azure | 15% | - Transparent Data Encryption - Database and infrastructure access control - Azure and OCI separation of duties - Network isolation - Auditing and logging - Oracle-managed and customer-managed keys - Encryption in transit |
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NEW QUESTION # 26
Which two Oracle high availability and data replication technologies does Oracle Zero Downtime Migration (ZDM) orchestrate when performing online migrations, both physical and logical, to Oracle Database@Azure? (Choose two.)
Answer: A,C
Explanation:
Oracle Zero Downtime Migration is Oracle Maximum Availability Architecture's recommended orchestration framework for moving Oracle databases while minimizing production interruption. For physical online migration , ZDM uses Oracle Data Guard. The target database is instantiated as a physical standby, redo generated on the source is transported and applied to the target, and ZDM coordinates the eventual switchover. Oracle documentation for Oracle Database@Azure specifically states that physical online migration uses direct data transfer, Restore From Service, and Oracle Data Guard to keep source and target synchronized.
For logical online migration , the underlying synchronization technology is Oracle GoldenGate. Oracle Data Pump provides the initial logical export/import, after which GoldenGate captures ongoing source transactions and applies them to the target until cutover. This workflow can also accommodate scenarios involving different database versions or platforms.
Oracle Sharding is an application/data-distribution architecture rather than ZDM's replication mechanism. Far Sync is a Data Guard component for specialized zero-data-loss configurations but is not the primary technology identified for ZDM migration orchestration.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM physical online migration, logical online migration, Data Guard, GoldenGate, Data Pump.
NEW QUESTION # 27
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: C
NEW QUESTION # 28
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: A
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 # 29
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
Answer: C
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 # 30
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: D
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 # 31
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