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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure | 15% | - Network isolation - Azure and OCI separation of duties - Auditing and logging - Database and infrastructure access control - Oracle-managed and customer-managed keys - Transparent Data Encryption - Encryption in transit |
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - VNet peering and connectivity - Default and advanced networking - Delegated subnets - Network security groups |
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - RMAN-based migration - Oracle Data Pump - Migration strategy selection - Zero Downtime Migration - Migration validation and cutover - Data Guard and GoldenGate |
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 5: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - 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 |
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Quotas and service limits - Container and Pluggable Databases - Exadata Infrastructure and VM Clusters - Patching and maintenance - Monitoring and database management - Autonomous Database Serverless - Scaling and resource management - Cloning and refreshing databases |
| Topic 7: HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - Switchover and failover - Data Guard and Autonomous Data Guard - Availability zones and Exadata redundancy - High availability architecture - RTO and RPO considerations - Point-in-time recovery |
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NEW QUESTION # 32
Your organization has deployed several Exadata VM Clusters within Oracle AI Database@Azure, and a database administrator needs to create custom dashboards and adjust metric collection settings in the Azure Portal. Which built-in Azure role must be assigned to this administrator to enable both viewing metrics and modifying monitoring configurations?
Answer: B
Explanation:
The appropriate built-in Azure RBAC role is Monitoring Contributor . Microsoft defines this role for administrators who need to read monitoring information and create or modify monitoring configuration .
Monitoring Contributor includes the monitoring-read capabilities required to inspect metrics and diagnostic data and adds permissions needed to create or edit diagnostic settings, alert-related configurations, and monitoring resources. Microsoft also identifies creation of private monitoring dashboards as a supported use case for this role.
Monitoring Reader is insufficient because it is primarily a read-only monitoring role. It allows users to inspect monitoring data and settings but does not grant the required configuration-modification permissions. The general Reader role similarly lacks write capabilities. Owner would technically provide sufficient access but violates least privilege because it grants comprehensive resource-management permissions, including access- control authority far beyond monitoring.
Because the administrator's duties are specifically monitoring-oriented but require configuration changes, Monitoring Contributor supplies the correct functional scope without granting unrestricted ownership.
Study Guide reference: Secure Oracle AI Database@Azure - Azure RBAC, monitoring permissions, least privilege and operational administration
NEW QUESTION # 33
By default, how many delegated subnets can Oracle AI Database@Azure use before a service limit increase must be requested?
Answer: A
Explanation:
Oracle AI Database@Azure has a default regional service limit of five delegated subnets . Once a deployment requires more than five delegated subnet links in a region, the customer must request a service- limit increase.
This aggregate regional limit must not be confused with the separate VNet design rule. An individual Azure VNet can contain a maximum of one delegated subnet for Oracle AI Database@Azure, but an organization can have several VNets and therefore several delegated subnets across the same region up to the default service limit.
Oracle identifies the relevant service-limit metadata as:
Service: Multicloud
Resource: Delegated Subnet Multicloud Links
Limit name: azure-delegated-subnet-count
The limit operates at regional scope. Therefore, creating additional peerings or Route Servers does not bypass it; the correct approach is to request additional service capacity through Oracle's service-limit process.
Values of 1, 3, and 10 do not represent the default regional limit.
Therefore, A. 5 is correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet quotas and service-limit increases.
NEW QUESTION # 34
Which ZDM migration workflow uses an initial load followed by GoldenGate-based change data capture to achieve near-zero downtime?
Answer: B
Explanation:
Logical Online Migration combines an initial logical data load with Oracle GoldenGate change data capture to minimize production downtime.
The initial target database is populated using Oracle Data Pump export and import. Because that data movement can take a substantial amount of time for large databases, Oracle GoldenGate continuously captures transactions committed on the source while the initial load is being performed. Those transactions are subsequently applied to the target, allowing the destination to converge with the production source while the application remains active.
When synchronization reaches the required state, ZDM orchestrates the final migration phases and application cutover. The downtime requirement is therefore concentrated around the final transition rather than the entire export/import window.
Logical Offline uses Data Pump without continuous GoldenGate synchronization. Physical Online uses RMAN-based target instantiation and Oracle Data Guard redo synchronization instead of GoldenGate.
Physical Offline similarly relies on physical backup/restore processes and does not use logical change-data capture.
Thus, B. Logical Online Migration is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate CDC.
NEW QUESTION # 35
You are planning to migrate an on-premises Oracle Database to an Autonomous Database Serverless target on Oracle Database@Azure. Which migration workflow families are supported by Zero Downtime Migration (ZDM) to accomplish this task?
Answer: B
Explanation:
For an Autonomous AI Database Serverless target, Oracle Zero Downtime Migration supports Logical Online and Logical Offline migration workflows.
Logical migration is necessary because Autonomous AI Database Serverless abstracts the underlying physical database infrastructure and does not expose the file-system and database-host control required for a conventional physical RMAN/Data Guard migration. ZDM therefore operates through logical database migration technologies.
Logical Offline uses Oracle Data Pump export and import to instantiate the target. Logical Online adds Oracle GoldenGate to the workflow so changes occurring on the source after the initial data load are captured and applied to the target until final cutover, greatly reducing application downtime.
Oracle's Oracle Database@Azure migration documentation explicitly lists these two workflows for migration to Autonomous Database Serverless. Physical Online and Physical Offline workflows apply to supported customer-managed Oracle database targets, such as Exadata Database Service, rather than Autonomous Serverless.
Therefore, A is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - Autonomous AI Database Serverless migration workflow support.
NEW QUESTION # 36
Which two Microsoft Azure resource providers must be registered in your Azure subscription as prerequisites to both onboard with and provision resources in Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Oracle AI Database@Azure depends on Azure Resource Manager provider namespaces that expose the Oracle service and its underlying infrastructure integration. Among the listed choices, the required providers are Microsoft.BareMetal and Oracle.Database .
Oracle.Database is the Azure resource-provider namespace through which Oracle database multicloud resources are represented and managed in Azure. This includes Oracle AI Database@Azure database-resource lifecycle operations and integration with delegated networking. Microsoft.BareMetal supports the Azure-side integration with specialized Oracle infrastructure physically deployed within Azure facilities.
Current Microsoft onboarding documentation also lists Microsoft.Network and Microsoft.Compute among resource providers required for a fully provisionable subscription. However, those names are not offered as valid alternatives in this question. Microsoft.VirtualMachine is not the correct provider namespace-standard Azure compute uses Microsoft.Compute. Likewise, Oracle.Exadata is not the service namespace; Oracle AI Database@Azure resources are represented under Oracle.Database.
Therefore, among the supplied answer set, B and D are correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure subscription prerequisites, resource-provider registration and Oracle.Database integration.
NEW QUESTION # 37
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