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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 4: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 5: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
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NEW QUESTION # 15
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 # 16
A healthcare provider runs Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure in an Azure region where Oracle AI Database@Azure is currently available in only a single availability zone. Regulatory requirements mandate that all replicated data remain within the same country, which rules out replicating to a paired cross-region location. The provider still needs a standby database for site-level fault isolation within the region. As the architect, you must select the disaster recovery approach that satisfies the data-residency constraint. Choose ONE.
Answer: C
Explanation:
The uploaded study set keys D , because it attempts to preserve data inside the same geographical region while obtaining a separate fault domain.
There is, however, an important current-documentation qualification. Oracle AI Database@Azure maps an OCI Availability Domain to an Azure Availability Zone , and Oracle MAA documentation describes local Data Guard standby deployments on another Exadata infrastructure in the same or a separate Azure Availability Zone . Oracle's cross-zone Data Guard implementation explicitly requires primary and standby Oracle AI Database@Azure deployments in two supported Azure AZs.
Therefore, option D is valid only if the second OCI Availability Domain corresponds to another supported Oracle AI Database@Azure Azure AZ. If the premise is literally that Oracle AI Database@Azure is available in only one Azure AZ and cross-region replication is prohibited, current Oracle documentation does not provide a second independent Oracle AI Database@Azure site simply by selecting an unmapped OCI AD.
For the uploaded question's intended key, the answer remains D , but the architecture should be treated with this deployment-availability condition.
NEW QUESTION # 17
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 # 18
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: A
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 19
A company runs Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure and must retain full database backups for up to 10 years to satisfy a financial services regulation. The compliance team also requires that these backups cannot be deleted or have their retention shortened before the mandated period expires, even by an administrator with backup-delete permissions. As the architect, you must select the backup configuration that satisfies both the long retention period and the immutability requirement. Choose ONE.
Answer: D
Explanation:
The correct solution combines Oracle Database Autonomous Recovery Service Long-Term Retention (LTR) with Retention Lock .
Recovery Service permits an LTR backup to be retained for up to 3,650 days-10 years . LTR backups are independent of the normal operational backup window and are designed specifically for compliance, regulatory, legal, and archival requirements.
Retention Lock adds the required immutability control. Oracle describes Retention Lock as an enforcement mechanism that protects retained backups against inadvertent changes and malicious actions such as ransomware. Once governed by the locked protection policy, backup retention cannot simply be shortened or deleted through normal backup-administration privileges before the protected period expires.
A 60-day Object Storage policy fails the ten-year requirement. Manual NFS backups lack the managed LTR and retention-lock framework, while Data Guard standby databases solve availability and disaster-recovery problems rather than replacing governed backup retention.
Therefore, C uniquely satisfies both long-term retention and immutability.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, LTR and Retention Lock.
NEW QUESTION # 20
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