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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Cloning and refreshing databases - Autonomous Database Serverless - Container and Pluggable Databases - Patching and maintenance - Exadata Infrastructure and VM Clusters - Monitoring and database management - Scaling and resource management - Quotas and service limits |
| Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Transparent Data Encryption - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Auditing and logging - Network isolation - Encryption in transit |
| HA and DR with Oracle AI Database@Azure | 10% | - Point-in-time recovery - Data Guard and Autonomous Data Guard - High availability architecture - RTO and RPO considerations - Switchover and failover - Backup and restore - Availability zones and Exadata redundancy |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Data Guard and GoldenGate - RMAN-based migration - Zero Downtime Migration - Oracle Data Pump - Migration validation and cutover |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding - Oracle AI Database@Azure architecture - Microsoft Entra ID and OCI IAM federation - Roles and permissions - Azure subscription and OCI tenancy linking |
| Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - VNet peering and connectivity - Delegated subnets - ExpressRoute and site-to-site connectivity - Oracle.Database network attachments - Network security groups - DNS resolution and private connectivity - Default and advanced networking |
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NEW QUESTION # 51
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: C
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 # 52
You are designing a high-availability database environment for a lightweight application using Oracle Base Database Service on Oracle AI Database@Azure. What must you consider regarding Oracle Real Application Clusters (RAC) availability when selecting this specific database service?
Answer: B
Explanation:
Oracle Base Database Service in Oracle AI Database@Azure is designed as a cost-effective single-instance database service , not as an Oracle RAC platform. Consequently, an architect selecting Base Database Service must recognize that multi-node Oracle Real Application Clusters are not available in this service configuration.
Oracle's current Oracle AI Database@Azure service comparison explicitly describes Base Database Service as shared infrastructure for running single instance Oracle Databases using general-purpose VM compute and network-attached storage. Where RAC-level database clustering is required, an Exadata-based service should be evaluated instead, because Oracle Exadata Database Service provides the clustered database architecture required for RAC.
The limitation is not associated with whether the older OCPU or newer ECPU compute model is used. Nor can a Base Database Service DB System become RAC merely by associating it with dedicated Exadata hardware; doing so would represent a different Oracle database service.
Therefore, the correct architectural constraint is C .
Study Guide reference: HA and DR with Oracle AI Database@Azure - Base Database Service availability architecture and RAC support.
NEW QUESTION # 53
Which two statements are true about identity federation for Oracle AI Database@Azure? (Choose two.)
Answer: A,B
Explanation:
Identity federation is optional in Oracle AI Database@Azure. Oracle states that most normal database operations can be performed through the Azure environment without federation. Federation becomes particularly useful when administrators must enter the OCI Console for Oracle-specific database management tasks and want to authenticate using their corporate Microsoft Entra ID credentials.
The uploaded study material also identifies the user-record requirement of a last name and valid email address. Oracle's current federation documentation provides a slightly more detailed rule: provisioning users into OCI requires First Name, Last Name and Display Name , plus Email Address when the OCI Identity Domain is configured to require email addresses . Legacy Oracle Database@Azure federation documentation states the last-name/valid-email requirement directly.
Federation does not replace the OCI tenancy. Oracle AI Database@Azure always requires an OCI tenancy- either an existing tenancy linked through a Private Offer or a new tenancy created during onboarding.
Therefore, A and B are the intended answers.
Study Guide reference: Secure Oracle AI Database@Azure - optional identity federation and user provisioning requirements.
NEW QUESTION # 54
Which two Azure network components are required to construct a secure Hub-and-Spoke topology with a central firewall for Oracle AI Database@Azure? (Choose two.)
Answer: A,B
Explanation:
A Hub-and-Spoke design separates shared connectivity and security services from workload networks. For Oracle AI Database@Azure, Oracle documents a Hub VNet that hosts centralized services such as Azure Firewall or a third-party NVA and a dedicated spoke VNet for Oracle AI Database@Azure containing the delegated subnet .
The Oracle database spoke is connected to the hub through Azure VNet peering. User-Defined Routes are then used to direct traffic through the hub's firewall or NVA when centralized inspection is required.
Application spokes can similarly route database-bound traffic toward the security appliance, while return routes on the database spoke preserve the required symmetric traffic path.
Azure VM Scale Sets are application-compute constructs and do not form the essential Hub-and-Spoke network topology. OCI FastConnect is an OCI/hybrid connectivity capability rather than the Azure-side Hub- and-Spoke component described by this scenario.
Therefore, B and C identify the essential architecture: the Oracle database workload is isolated in a spoke VNet, while the Hub VNet provides centralized traffic inspection and security enforcement.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Hub-and-Spoke architecture, VNet peering, delegated subnet, Azure Firewall/NVA and UDR routing.
NEW QUESTION # 55
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 # 56
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