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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| 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% | - Disaster recovery and backup
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
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NEW QUESTION # 31
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?
Answer: B
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.
NEW QUESTION # 32
A financial services company is deploying Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure. Their security team mandates that database traffic never traverse the public internet, and that the Azure VNet hosting the delegated subnet also connect to three separate application-tier spoke VNets in the same region. Additionally, all inter-VNet traffic must pass through a centralized network virtual appliance for inspection before reaching the delegated subnet. As the architect, you must choose the network topology that satisfies both the multi-VNet connectivity and the centralized inspection requirement.
Choose ONE.
Answer: B
Explanation:
The intended topology is Hub-and-Spoke with centralized NVA inspection , making C the correct choice among the available answers. This architecture permits multiple application VNets to communicate privately with the Oracle database while routing inter-VNet traffic through a central firewall or Network Virtual Appliance rather than the public internet.
There is an architectural wording issue worth correcting precisely. Oracle's published reference topology normally places the Azure Firewall/NVA in the Hub VNet while Oracle Database@Azure resides in a separate Data VNet containing the delegated client subnet . Application workloads reside in spoke VNets.
The hub then provides centralized routing and inspection between the application spokes and the data VNet.
Therefore, the essential principle embodied by C- Hub-and-Spoke plus centralized NVA inspection -is correct, although the phrase "delegated subnet in the hub VNet" is not how Oracle's canonical diagram lays out the components.
Direct local peering would bypass centralized inspection, while direct Virtual WAN spoke-to-spoke communication violates the same requirement. Data Guard concerns DR, not application traffic inspection.
NEW QUESTION # 33
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: D
NEW QUESTION # 34
You are planning a ZDM Physical Online migration of a 10 TB production database to Exadata on Oracle Database@Azure and want to avoid using intermediate storage for backups. Which database creation method will ZDM automatically utilize to build the target database directly from the source database?
Answer: B
Explanation:
Oracle's preferred ZDM Physical Online workflow for Oracle Database@Azure supports direct data transfer
, specifically to avoid staging large RMAN backups in intermediate object or file storage. In this workflow, ZDM creates the target database using the Restore From Service method.
RMAN streams the required database blocks directly from the source database service to the target environment over the configured network connection. After the target database has been instantiated, Oracle Data Guard maintains synchronization between source and target by transporting and applying redo. ZDM then orchestrates the cutover when the migration reaches the appropriate stage.
This approach is particularly significant for a large database such as the 10 TB system in the scenario because intermediate backup staging would require substantial temporary storage, additional I/O, and backup-transfer operations. Oracle explicitly states that the physical online direct-data-transfer workflow creates the target through Restore From Service and avoids backing up the source to an intermediate storage location.
Backup and Restore therefore describes the physical offline/staged model. Transportable Tablespaces is not the standard ZDM physical-online instantiation mechanism.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Physical Online, direct data transfer, RMAN Restore From Service and Data Guard.
NEW QUESTION # 35
Your enterprise is configuring federated single sign-on (SSO) and authentication for administrators operating Oracle AI Database@Azure resources. Which identity provider natively provides federated identity and access management for this co-located database service?
Answer: D
Explanation:
For Oracle AI Database@Azure's documented Azure-to-OCI federation architecture, Microsoft Entra ID functions as the enterprise identity provider. Oracle's reference architecture explicitly states that Microsoft Entra ID provides federated identity and access management for Oracle AI Database@Azure.
The OCI IAM Identity Domain remains an essential component because it is the Oracle-side service provider and identity domain that trusts the Microsoft Entra identity provider. However, when the question asks which platform provides the federated corporate identity in the Azure-integrated architecture, the answer is Microsoft Entra ID.
Oracle's onboarding instructions configure an Oracle Cloud Infrastructure Console enterprise application in Entra ID and then configure the OCI identity domain with Microsoft Entra ID as its SAML identity provider.
Administrators can subsequently use their corporate Entra credentials for SSO into OCI when Oracle-native management tasks require it.
AD FS represents an older on-premises Microsoft federation service, while Okta is a third-party identity platform rather than the natively documented Azure integration.
Therefore, A is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Entra ID federation, OCI IAM Identity Domains and SSO.
NEW QUESTION # 36
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