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| Section | Weight | Objectives |
|---|---|---|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Secure Oracle AI Database@Azure | 15% | - Security and access control
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
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NEW QUESTION # 16
Which network port must be open and tested to ensure SQL*Net connectivity between the source database and the ZDM Service Host during a ZDM Physical Online migration to Exadata on Oracle Database@Azure?
Answer: D
Explanation:
The standard Oracle listener and SQL Net port used in the documented ZDM Physical Online migration workflow is TCP 1521 . Oracle's Oracle AI Database@Azure ZDM migration procedure explicitly instructs administrators to test SQL Net connectivity by running tnsping between source and target database hosts using port 1521.
This connectivity is required because ZDM and its underlying migration technologies must establish database- level communication for prechecks, configuration, target instantiation, Data Guard configuration, synchronization, and migration orchestration. If the source or target listener has been intentionally configured to use a nondefault port, that configured listener port must be permitted instead.
Port 22 is used for SSH administration between the ZDM Service Host and managed hosts. Port 443 is associated with HTTPS-based cloud service and API communication. Port 2049 is conventionally associated with NFS and is relevant when migration workflows use NFS-based staging, but it is not SQL*Net.
Therefore, D. 1521 is the correct answer.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM network prerequisites, SQL*Net and physical online migration.
NEW QUESTION # 17
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
Answer: A,C,F
Explanation:
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
NEW QUESTION # 18
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
Answer: C
Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
NEW QUESTION # 19
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,D
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 # 20
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: D
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 # 21
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