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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Topic 4: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 5: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Topic 7: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
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質問 # 27
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 # 28
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?
正解：C
解説：
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.
質問 # 29
Which two purchase options are available for Oracle Exadata Database Service on Exascale Infrastructure in Oracle AI Database@Azure? (Choose two.)
正解：A、B
解説：
Oracle Exadata Database Service on Exascale Infrastructure is eligible for both the Private Offer and Public Offer , with the Public Offer representing the Pay As You Go marketplace model.
A Private Offer is negotiated with Oracle and can include custom pricing, contract terms, usage commitments, and enterprise commercial arrangements. After agreement, the customer accepts the private offer through Azure Marketplace.
A Public Offer allows supported Oracle AI Database@Azure services to be purchased directly from Azure Marketplace without first negotiating a private commercial agreement. Oracle describes this model as Pay As You Go, with no predetermined usage commitment. Oracle's current Azure service table explicitly lists Exadata Database Service on Exascale Infrastructure as eligible for both offer types.
Azure Reserved Instance pricing is an Azure compute purchasing construct and is not one of the Oracle AI Database@Azure offer mechanisms. Oracle also specifies that free-trial subscription models are not the purchasing path for these multicloud database resources.
Therefore, B and C are correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Public Offer, Private Offer and Exascale purchasing.
質問 # 30
You have successfully deployed a two-node Exadata VM Cluster on Oracle AI Database@Azure to provide hardware-level high availability using Oracle RAC. What client-side feature should you implement at the application layer to mask database node failures and transparently replay in-flight uncommitted transactions without throwing errors to end users?
正解：D
解説：
Oracle Application Continuity (AC) is the application-availability technology designed to mask recoverable database outages and replay database requests transparently after a connection is re-established.
Oracle RAC provides database-service continuity when one database instance or node becomes unavailable, but an application may still have active sessions or in-flight work on the failed instance. Application Continuity works with Oracle's high-availability connection infrastructure, database services, FAN, Transaction Guard, and supported clients to reconnect to an available instance and replay eligible database requests. This significantly reduces the application errors that would otherwise be exposed during node failure or planned maintenance.
Fast-Start Failover and Data Guard Broker operate at the Data Guard database-role and disaster-recovery level. They manage primary/standby transitions rather than transparently replaying an individual application session after a RAC node failure. Transparent Data Encryption protects database data at rest and has no role in request replay or failure masking.
Therefore, C. Oracle Application Continuity is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - RAC application availability, FAN, Transaction Guard and Application Continuity.
質問 # 31
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 # 32
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