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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Cloning and refreshing databases - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Scaling and resource management - Container and Pluggable Databases - Quotas and service limits - Monitoring and database management - Patching and maintenance |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Roles and permissions |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration validation and cutover - Migration strategy selection - Oracle Data Pump - Data Guard and GoldenGate - Zero Downtime Migration - RMAN-based migration |
| HA and DR with Oracle AI Database@Azure | 10% | - Availability zones and Exadata redundancy - Point-in-time recovery - Data Guard and Autonomous Data Guard - RTO and RPO considerations - Switchover and failover - Backup and restore - High availability architecture |
| Secure Oracle AI Database@Azure | 15% | - Transparent Data Encryption - Encryption in transit - Auditing and logging - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Network isolation - Database and infrastructure access control |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Configure Oracle AI Database@Azure Networking | 15% | - DNS resolution and private connectivity - Default and advanced networking - Delegated subnets - VNet peering and connectivity - Network security groups - User-defined routes - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity |
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NEW QUESTION # 96
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: C,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 # 97
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?
Answer: D
Explanation:
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.
NEW QUESTION # 98
To achieve continuous availability and automated database failover using Data Guard Fast-Start Failover (FSFO) across availability zones in Oracle AI Database@Azure, where is it recommended to host the client- side Observer process?
Answer: A
Explanation:
The Data Guard Observer is an independent process used by Fast-Start Failover to monitor the primary and standby databases and determine whether an automatic failover should occur. Because its independence directly affects the reliability of the failover decision, it should not share the same failure domain as either database.
For an Oracle AI Database@Azure architecture spanning availability zones, placing the Observer on a separate Azure VM in another availability zone provides appropriate fault isolation. If the primary AZ fails, the Observer remains available to verify the failure and initiate the transition to the standby. Hosting the Observer directly on the primary database node would cause it to disappear with a primary-site outage.
Hosting it on the standby similarly creates an undesirable dependency on the standby environment.
The Observer is an external Data Guard Broker process; it does not belong inside Oracle's multicloud control- plane Parent Site. For stronger resilience, Oracle Data Guard can also support multiple observers in appropriate configurations.
Therefore, D represents the recommended architecture.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Data Guard Broker, FSFO and Observer placement.
NEW QUESTION # 99
By default, how many delegated subnets can Oracle AI Database@Azure use before a service limit increase must be requested?
Answer: D
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 # 100
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: B,D
Explanation:
Oracle Zero Downtime Migration organizes its Oracle database migration methods into two fundamental workflow families: Physical Migration and Logical Migration . Each family can then have online and offline variants depending on compatibility requirements and acceptable downtime.
Physical migrations operate on the physical database representation and rely on technologies such as RMAN and Oracle Data Guard. Physical Online migration can instantiate a target using Restore From Service and maintain synchronization using Data Guard, while Physical Offline uses RMAN backup and restore.
Logical migrations operate through logical database objects and data. Oracle Data Pump provides the initial export/import mechanism, while Logical Online migration integrates Oracle GoldenGate to capture and replicate ongoing transactions before cutover. Logical workflows are also suitable for many cross-version or cross-platform scenarios that physical workflows cannot support.
"Container-based migration" and "snapshot-based migration" are not ZDM's top-level migration workflow categories.
Oracle's current ZDM documentation explicitly states that ZDM supports both Physical and Logical Migration workflows.
Therefore, B and D are correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM workflow categories.
NEW QUESTION # 101
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