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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Data Guard and GoldenGate - RMAN-based migration - Migration validation and cutover - Oracle Data Pump - Zero Downtime Migration |
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - Network security groups - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - Oracle.Database network attachments - VNet peering and connectivity - Default and advanced networking - Delegated subnets |
| Topic 3: HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Point-in-time recovery - Switchover and failover - RTO and RPO considerations - Backup and restore - Availability zones and Exadata redundancy - Data Guard and Autonomous Data Guard |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Cloning and refreshing databases - Monitoring and database management - Scaling and resource management - Exadata Infrastructure and VM Clusters - Container and Pluggable Databases - Autonomous Database Serverless - Quotas and service limits - Patching and maintenance |
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Auditing and logging - Azure and OCI separation of duties - Network isolation - Database and infrastructure access control - Oracle-managed and customer-managed keys - Transparent Data Encryption |
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Roles and permissions - Azure subscription and OCI tenancy linking - Azure Marketplace purchase and onboarding |
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
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NEW QUESTION # 92
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Answer: A,C
NEW QUESTION # 93
To achieve continuous availability and automated database failover using Data Guard Fast-Start Failover (FSFO) across availability zones in Oracle AI Database@Azure, where is it recommended to host the client- side Observer process?
Answer: B
Explanation:
The Data Guard Observer is an independent process used by Fast-Start Failover to monitor the primary and standby databases and determine whether an automatic failover should occur. Because its independence directly affects the reliability of the failover decision, it should not share the same failure domain as either database.
For an Oracle AI Database@Azure architecture spanning availability zones, placing the Observer on a separate Azure VM in another availability zone provides appropriate fault isolation. If the primary AZ fails, the Observer remains available to verify the failure and initiate the transition to the standby. Hosting the Observer directly on the primary database node would cause it to disappear with a primary-site outage.
Hosting it on the standby similarly creates an undesirable dependency on the standby environment.
The Observer is an external Data Guard Broker process; it does not belong inside Oracle's multicloud control- plane Parent Site. For stronger resilience, Oracle Data Guard can also support multiple observers in appropriate configurations.
Therefore, D represents the recommended architecture.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Data Guard Broker, FSFO and Observer placement.
NEW QUESTION # 94
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: B
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 # 95
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?
Answer: A
Explanation:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.
NEW QUESTION # 96
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
Answer: A,B,F
Explanation:
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
NEW QUESTION # 97
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