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| Section | Weight | Objectives |
|---|---|---|
| HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Backup and restore - Point-in-time recovery - Availability zones and Exadata redundancy - Data Guard and Autonomous Data Guard - Switchover and failover - RTO and RPO considerations |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure Marketplace purchase and onboarding - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Roles and permissions |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Container and Pluggable Databases - Scaling and resource management - Patching and maintenance - Cloning and refreshing databases - Autonomous Database Serverless - Monitoring and database management - Exadata Infrastructure and VM Clusters - Quotas and service limits |
| Configure Oracle AI Database@Azure Networking | 15% | - ExpressRoute and site-to-site connectivity - VNet peering and connectivity - Oracle.Database network attachments - Delegated subnets - Network security groups - DNS resolution and private connectivity - Default and advanced networking - User-defined routes |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration validation and cutover - Data Guard and GoldenGate - RMAN-based migration - Zero Downtime Migration - Migration strategy selection - Oracle Data Pump |
| Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Transparent Data Encryption - Oracle-managed and customer-managed keys - Auditing and logging - Network isolation - Encryption in transit - Azure and OCI separation of duties |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
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NEW QUESTION # 62
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: C
NEW QUESTION # 63
An architect is designing a cross-region disaster recovery (DR) topology for Oracle Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure. The Active site virtual network is named odb- multicloud-production-vnet with a delegated subnet named odb-multicloud-production-subnet. The DR site virtual network is named odb-multicloud-production-DR-vnet with a delegated subnet named odb-multicloud- production-DR-subnet. When configuring both clusters to use the default managed DNS, the architect discovers that both sites automatically generate the identical host domain and DNS private zone name of ociodbmulticlo.ociodbmulticlo.oraclevcn.com, preventing unique DNS conditional forwarding from on- premises servers. To resolve this naming collision while continuing to use default managed DNS, what must the architect do? Choose ONE.
Answer: B
Explanation:
Under the default managed-DNS model, Oracle derives the private Oracle domain from normalized VNet and delegated-subnet naming components. In the source scenario, the production and DR resource names share the same leading characters, causing both sites to derive the same oraclevcn.com private DNS namespace.
The practical resolution is therefore to alter the naming inputs before deployment so the generated DNS labels are unique. The uploaded question set specifies that the relevant generated tokens use the first 11 alphanumeric characters , so either the DR VNet or delegated subnet must be renamed such that the derived prefix differs from the active environment.
The Host Domain Name field associated with default managed DNS is system-generated rather than freely editable. Adding another DNS resolver does not eliminate the underlying duplicate private-zone namespace, and DNS views cannot reliably correct a collision created at resource provisioning.
Therefore, D resolves the root cause while retaining Oracle-managed DNS.
Study Guide reference: Configure Oracle AI Database@Azure Networking - default DNS, oraclevcn.
com, VNet/subnet DNS derivation and DR naming design.
NEW QUESTION # 64
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?
Answer: C
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.
NEW QUESTION # 65
You have provisioned an Exadata VM Cluster on Exascale Infrastructure with 8 ECPUs per VM and a 300 GB Exascale Database Storage Vault. Your workload has grown and additional compute capacity is now required. What should you do?
Answer: B
Explanation:
Elastic resource allocation is a fundamental design characteristic of Oracle Exadata Database Service on Exascale Infrastructure . A VM requires a minimum of 8 enabled ECPUs at initial provisioning, but its compute allocation can subsequently be increased in 4-ECPU increments .
Oracle's Exascale architecture draws compute resources from Oracle-managed shared infrastructure rather than requiring the customer to purchase or provision dedicated database servers. This permits a customer to start with a relatively small footprint and increase capacity as workload requirements develop.
The workload therefore does not need to be migrated to Dedicated Infrastructure merely because additional processing power is required. Nor is it necessary to destroy and rebuild the VM Cluster or create an entirely new Exadata Infrastructure resource. Exascale is specifically intended to avoid those fixed-capacity operational patterns.
Oracle additionally supports online scaling of Exascale storage independently through the associated Database Storage Vault, reinforcing the service's elastic consumption model.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elastic ECPU scaling.
NEW QUESTION # 66
You have completed the purchase of an Oracle AI Database@Azure Private Offer through the Microsoft Azure Marketplace. What is the next required architectural step in the onboarding workflow before you can create your Exadata infrastructure?
Answer: A
Explanation:
Purchasing the Azure Marketplace offer establishes the commercial entitlement, but it does not by itself establish the technical relationship between the customer's Azure environment and OCI tenancy. Oracle's onboarding sequence requires multicloud linking after purchase.
During this step, the selected Azure subscription is linked with an Oracle Cloud Infrastructure tenancy. That association enables the service to establish the required cross-cloud resource, subscription, governance, and management relationships. Oracle's current overview explicitly states that after the purchase is complete, the Azure subscription is linked with an OCI tenancy; this process is called multicloud linking.
Only after onboarding and linking are completed does the administrator move into resource provisioning. At that stage, the environment can be prepared with the VNet, delegated subnet, Exadata infrastructure, VM Cluster, Autonomous AI Database, or applicable anchor constructs. Therefore, creating networking components before completing the required subscription/tenancy association reverses the documented onboarding sequence.
DNS-specific configuration is also part of networking rather than the immediate post-purchase account- linking requirement.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Marketplace purchase, multicloud linking, Azure subscription-to-OCI tenancy association and provisioning prerequisites.
NEW QUESTION # 67
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