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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Database and infrastructure access control - Azure and OCI separation of duties - Auditing and logging - Transparent Data Encryption - Oracle-managed and customer-managed keys - Network isolation |
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Roles and permissions - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding |
| Topic 3: Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - VNet peering and connectivity - Network security groups - Delegated subnets - DNS resolution and private connectivity - Default and advanced networking - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Quotas and service limits - Monitoring and database management - Exadata Infrastructure and VM Clusters - Cloning and refreshing databases - Container and Pluggable Databases - Autonomous Database Serverless - Scaling and resource management - Patching and maintenance |
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - RMAN-based migration - Migration validation and cutover - Zero Downtime Migration - Oracle Data Pump - Data Guard and GoldenGate |
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - RTO and RPO considerations - Backup and restore - High availability architecture - Switchover and failover - Point-in-time recovery - Data Guard and Autonomous Data Guard - Availability zones and Exadata redundancy |
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
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NEW QUESTION # 10
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 # 11
Your organization is migrating a critical core banking system from an on-premises Oracle Database 12c (12.1.0.2) on IBM AIX to Oracle Exadata Database Service on Dedicated Infrastructure (ExaDB-D) on Oracle Database@Azure. The target database on ExaDB-D must be provisioned on Oracle Database 19c, requiring a cross-platform and cross-version migration. Because this is a 24/7 billing system, the business mandates that the application downtime must be limited to only the few minutes required for the final switchover. The migration architect requires a workflow that performs initial schema loading via Data Pump and utilizes real-time transaction replication to keep the target in sync until switchover. As the migration architect, which Zero Downtime Migration (ZDM) workflow satisfies all of these requirements? Choose ONE.
Answer: C
Explanation:
The required workflow is ZDM Logical Online Migration . The defining requirements are cross-platform migration, database-version change, Data Pump initial loading, ongoing transaction replication, and minimal cutover downtime.
ZDM Logical Online uses Oracle Data Pump to establish the initial target data set and Oracle GoldenGate to capture and replicate transactions occurring on the source while the bulk migration is underway. Once the target is synchronized, ZDM coordinates the final cutover, reducing application interruption to the controlled switchover period.
This logical model is appropriate for migrations such as IBM AIX to Linux-based Exadata because logical migration is not dependent on source and target having identical physical database-file formats or endian architectures. It also accommodates supported cross-version migrations.
Logical Offline also uses Data Pump but does not maintain continuous GoldenGate synchronization and therefore requires substantially greater application downtime. Physical migration uses RMAN/Data Guard and is constrained by physical compatibility requirements, making it unsuitable for the described cross-platform transformation.
Thus, B is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate.
NEW QUESTION # 12
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
Answer: B
Explanation:
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
NEW QUESTION # 13
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?
Answer: C
Explanation:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.
NEW QUESTION # 14
Which two network routing capabilities or controls are supported when configuring User Defined Routes (UDR) within the delegated subnets of Oracle AI Database@Azure? (Choose two.)
Answer: A,C
Explanation:
Azure User-Defined Routes provide explicit Layer-3 forwarding control for traffic entering or leaving an Oracle AI Database@Azure delegated subnet. Oracle's documented network topologies use UDRs to direct application, on-premises, and database traffic through prescribed next hops such as an Azure Firewall or Network Virtual Appliance. This enables architects to construct custom network routing paths between on- premises systems and Exadata databases and exercise granular routing control across hybrid infrastructure .
In a Hub-and-Spoke deployment, for example, UDRs on application spokes can force database-bound traffic through the hub firewall, while corresponding routes on the Oracle AI Database@Azure spoke provide a symmetric return path. This is an architectural routing control, not a dynamic-routing protocol. ExpressRoute path selection is governed by BGP and ExpressRoute configuration rather than by a UDR automatically choosing between circuits.
Likewise, UDRs do not override Oracle-managed control-plane connectivity or scheduled lifecycle- management routes. Those functions remain under the service architecture.
Therefore, A and C are the supported routing capabilities. Study Guide reference: Configure Oracle AI Database@Azure Networking - UDRs, delegated subnets, hybrid connectivity, Hub-and-Spoke routing.
NEW QUESTION # 15
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