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| Section | Weight | Objectives |
|---|---|---|
| Configure Oracle AI Database@Azure Networking | 15% | - Explain networking concepts - Describe supported network topologies - Configure DNS |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Autonomous AI Database - Provision Base Database Service - Provision Exascale infrastructure and services - Backup and restore processes - Create and configure Azure delegated subnet - Provision Exadata infrastructure and clusters - Configure monitoring and observability |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding |
| 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 Autonomous AI Database - ZDM workflows to Exadata |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
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質問 # 26
Which two DNS endpoints can be optionally enabled when provisioning a Network Anchor for Oracle AI Database@Azure? (Choose two.)
正解：A、D
解説：
Oracle AI Database@Azure Network Anchors support DNS integration between Azure-side applications and OCI-side database networking. The two endpoint constructs used by Oracle DNS are the DNS forwarding endpoint and DNS listening endpoint .
For inbound DNS resolution from OCI toward Azure, Oracle's Network Control Plane can create a forwarding DNS endpoint and configure forwarding rules so OCI-hosted resources can forward queries toward the Azure DNS environment. Conversely, outbound resolution from Azure toward Oracle resources relies on an OCI listening DNS endpoint. The listening endpoint receives DNS requests and enables Azure or connected on- premises systems to resolve Oracle AI Database@Azure names.
The terminology is important. Oracle explicitly uses listening and forwarding endpoint constructs. "DNS replication endpoint" is not the endpoint name used for private-zone synchronization, and "DNS peering endpoint" is not an Oracle Network Anchor endpoint type. DNS-record synchronization is a separate behavior from the endpoint resource itself.
Consequently, the correct selections are A and D .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, inbound DNS, outbound DNS, forwarding endpoints and listening endpoints.
質問 # 27
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
正解：C
解説：
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
質問 # 28
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.)
正解：A、D
解説：
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.
質問 # 29
An enterprise already uses Microsoft Entra ID to govern employee access to hundreds of SaaS applications through group-based role assignment. The database team wants administrators to sign in to the OCI Console for Oracle AI Database@Azure using the same corporate credentials, and wants Entra ID group membership to automatically determine the corresponding OCI IAM group membership without manually creating each user in OCI. As the architect, you must choose the configuration that satisfies both the single sign-on and automated group-mapping requirements. Choose ONE.
正解：C
解説：
The appropriate architecture is Microsoft Entra ID-to-OCI SAML federation combined with group synchronization/mapping .
SAML provides the authentication component. Administrators authenticate using corporate Microsoft Entra ID identities and obtain federated access to the associated OCI Identity Domain. Oracle's onboarding procedure creates the SAML trust by exchanging metadata between Microsoft Entra ID and OCI.
The provisioning side then maps assigned users and groups from the Microsoft Entra enterprise application into OCI through the configured identity integration. This allows corporate group membership to drive the user's Oracle-side authorization model instead of requiring administrators to create and maintain separate OCI identities individually.
Azure RBAC governs Azure resources but does not by itself create the required OCI IAM group relationships for OCI Console administration. Azure Key Vault controls cryptographic keys and secrets rather than identity federation, while manually creating OCI users directly contradicts the automated identity-lifecycle requirement.
Therefore, A provides both SSO and centralized enterprise identity/group management.
Study Guide reference: Secure Oracle AI Database@Azure - SAML federation, user/group synchronization and OCI IAM.
質問 # 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?
正解：B
解説：
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.
質問 # 31
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