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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - Switchover and failover - Point-in-time recovery - Availability zones and Exadata redundancy - RTO and RPO considerations - High availability architecture - Data Guard and Autonomous Data Guard |
| Topic 2: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Patching and maintenance - Scaling and resource management - Exadata Infrastructure and VM Clusters - Quotas and service limits - Container and Pluggable Databases - Monitoring and database management - Cloning and refreshing databases - Autonomous Database Serverless |
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration validation and cutover - Migration strategy selection - RMAN-based migration - Data Guard and GoldenGate - Oracle Data Pump |
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding - Microsoft Entra ID and OCI IAM federation - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Roles and permissions |
| Topic 5: Configure Oracle AI Database@Azure Networking | 15% | - Oracle.Database network attachments - Default and advanced networking - DNS resolution and private connectivity - ExpressRoute and site-to-site connectivity - User-defined routes - Network security groups - VNet peering and connectivity - Delegated subnets |
| Topic 6: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Azure and OCI separation of duties - Network isolation - Database and infrastructure access control - Encryption in transit - Oracle-managed and customer-managed keys - Transparent Data Encryption - Auditing and logging |
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NEW QUESTION # 29
If a customer does not configure a customer-managed key, where does Oracle AI Database@Azure store the default TDE master encryption key for an Exadata database?
Answer: C
Explanation:
The default encryption-key model for an Exadata database on Oracle AI Database@Azure is Oracle- Managed Keys (OMK) . Under this model, Oracle automatically generates the Transparent Data Encryption master encryption key and stores it in an Oracle Wallet secured within the database environment.
Oracle manages the complete lifecycle of this default key, including generation, secure storage, rotation, backup, and restoration. No additional customer-side key-management infrastructure is required.
OCI Vault, Oracle Key Vault, and Azure Key Vault represent customer-managed key alternatives. When an organization selects one of these mechanisms, the TDE master key is managed outside the local Oracle Wallet, enabling centralized customer control, auditing, rotation policy, and separation of duties. However, none is the default unless the customer explicitly configures a customer-managed key architecture.
Oracle's current security documentation explicitly identifies Oracle Wallet as the default encryption-key setting for Exadata Database Service on Oracle AI Database@Azure.
Therefore, C. Oracle Wallet is correct.
Study Guide reference: Secure Oracle AI Database@Azure - TDE, Oracle-managed keys and Oracle Wallet.
NEW QUESTION # 30
Your organization has deployed several Exadata VM Clusters within Oracle AI Database@Azure, and a database administrator needs to create custom dashboards and adjust metric collection settings in the Azure Portal. Which built-in Azure role must be assigned to this administrator to enable both viewing metrics and modifying monitoring configurations?
Answer: C
Explanation:
The appropriate built-in Azure RBAC role is Monitoring Contributor . Microsoft defines this role for administrators who need to read monitoring information and create or modify monitoring configuration .
Monitoring Contributor includes the monitoring-read capabilities required to inspect metrics and diagnostic data and adds permissions needed to create or edit diagnostic settings, alert-related configurations, and monitoring resources. Microsoft also identifies creation of private monitoring dashboards as a supported use case for this role.
Monitoring Reader is insufficient because it is primarily a read-only monitoring role. It allows users to inspect monitoring data and settings but does not grant the required configuration-modification permissions. The general Reader role similarly lacks write capabilities. Owner would technically provide sufficient access but violates least privilege because it grants comprehensive resource-management permissions, including access- control authority far beyond monitoring.
Because the administrator's duties are specifically monitoring-oriented but require configuration changes, Monitoring Contributor supplies the correct functional scope without granting unrestricted ownership.
Study Guide reference: Secure Oracle AI Database@Azure - Azure RBAC, monitoring permissions, least privilege and operational administration
NEW QUESTION # 31
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: D
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 32
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: A
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 # 33
An enterprise configures an Azure User-Defined Route (UDR) with a prefix of 10.0.0.0/16 to route traffic to an Oracle AI Database@Azure instance that resides in a delegated subnet sized at 10.0.0.0/24. What is the consequence of configuring this less specific UDR prefix?
Answer: A
Explanation:
Oracle's Hub-and-Spoke design guidance defines an important UDR rule for Oracle AI Database@Azure delegated subnets: the route prefix must be at least as specific as the delegated subnet CIDR . A /24 delegated subnet therefore cannot be reliably represented by a broader /16 route when the architecture requires the delegated subnet-specific path.
The less-specific route can fail to take precedence over more-specific system or service routes. This creates the possibility that traffic takes one route toward the database but returns through a different route. Such asymmetric routing is especially problematic with Azure Firewall or an NVA because stateful firewalls expect both directions of a connection to traverse the same inspection point. If the return packet follows a different path, the firewall can drop the session.
A UDR has no mechanism for duplicating VNICs, changing SQL*Net encryption, or resizing the underlying subnet. It simply influences Layer-3 forwarding.
Therefore, A accurately describes the documented routing consequence.
Study Guide reference: Configure Oracle AI Database@Azure Networking - UDR prefix specificity, delegated subnet routing, Hub-and-Spoke and asymmetric routing prevention.
NEW QUESTION # 34
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