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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Create and configure Azure delegated subnet - Provision Base Database Service - Configure monitoring and observability - Provision Autonomous AI Database - Provision Exascale infrastructure and services - Backup and restore processes |
| Topic 4: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
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NEW QUESTION # 77
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: A
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 # 78
Which of the following is NOT a valid managed backup destination for an Exadata Database in Oracle AI Database@Azure?
Answer: B
Explanation:
The invalid managed backup destination is the physical Zero Data Loss Recovery Appliance (ZDLRA) .
Oracle AI Database@Azure currently provides two primary managed automatic backup destinations for Exadata databases: Oracle Database Autonomous Recovery Service and OCI Object Storage . Oracle recommends Autonomous Recovery Service because it provides database-aware incremental-forever protection, policy-based retention, recoverability validation, optional real-time redo protection, and retention- lock capabilities.
Long-Term Retention is a supported capability of Recovery Service and allows selected backups to be preserved for extended compliance periods. It therefore represents a valid managed backup lifecycle option, even though technically it is a Recovery Service feature rather than an independent storage system.
The Zero Data Loss Recovery Appliance is a physical Oracle engineered system primarily used in customer data centers and appropriate Cloud@Customer architectures. Autonomous Recovery Service incorporates technologies derived from the Recovery Appliance but is delivered as a managed cloud service; these two should not be confused.
Therefore, the answer to the "NOT valid" question is B .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata automatic backups, Object Storage and Autonomous Recovery Service.
NEW QUESTION # 79
Your team has configured a local standby database for an Oracle Autonomous Database@Azure deployment within the same region to protect against instance-level failures. What are the Service Level Objectives (SLOs) for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) when utilizing this local standby configuration with automatic failover?
Answer: C
Explanation:
Oracle Autonomous AI Database Serverless documents a local Autonomous Data Guard standby RTO SLO of two minutes for failure events that require failover to the standby.
For the Recovery Point Objective, current Oracle documentation is slightly more precise than the wording in option A: the local standby's maximum possible data-loss objective is less than 10 seconds . Therefore, the exam option stating "RPO of 10 seconds" represents the intended and closest supported value.
These SLOs apply to events such as full database failure, complete storage failure, corruption scenarios requiring standby transition, and availability-domain failures when Autonomous Data Guard is enabled. Local standby protection provides materially faster recovery and a substantially smaller possible data-loss window than cross-region standby protection because replication remains geographically close.
An hour-long RTO is inconsistent with active standby protection, while five-minute RPO and thirty-second RPO values do not match Oracle's stated local Autonomous Data Guard objectives.
Therefore, A is correct, interpreted technically as 2-minute RTO and < 10-second RPO .
Study Guide reference: HA and DR - Autonomous Data Guard local standby SLOs.
NEW QUESTION # 80
Which Recovery Manager (RMAN) method is recommended by Oracle Maximum Availability Architecture (MAA) and used by Zero Downtime Migration (ZDM) when direct data transfer is enabled?
Answer: B
Explanation:
For ZDM physical online migrations using direct data transfer , Oracle's Maximum Availability Architecture pattern uses RMAN's Restore From Service capability. Rather than first creating backup pieces in a staging location, transporting them, and then restoring them on the target, RMAN restores the target database directly across the network from the source service.
This design reduces intermediate storage requirements and simplifies the migration pipeline. Once the target database has been instantiated, ZDM automatically configures Oracle Data Guard and uses redo transport to maintain synchronization until the planned switchover. The combination of Restore From Service and Data Guard is the central technical pattern Oracle documents for physical online migration to Exadata Database Service on Oracle AI Database@Azure.
Although DUPLICATE ... FROM ACTIVE DATABASE is a legitimate RMAN cloning capability in other contexts, it is not the named method documented for this ZDM direct-data-transfer workflow. Compressed backup-set streaming and incremental image-copy pushing also imply different backup/staging mechanisms.
Therefore, Restore From Service is the MAA-aligned RMAN method represented by the scenario.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - MAA, ZDM Physical Online migration, RMAN direct data transfer and Restore From Service.
NEW QUESTION # 81
You have provisioned two VNets for Oracle AI Database@Azure in the same Oracle Availability Zone. One VNet uses advanced network features and the other uses default networking, and you now want to peer them.
What should you expect?
Answer: A
Explanation:
This configuration is explicitly identified as unsupported in Microsoft's Oracle AI Database@Azure network- planning guidance. If two Oracle AI Database@Azure VNets are deployed in the same Oracle Availability Zone and one uses Advanced Networking while the other uses the default networking implementation, VNet peering between them can introduce asymmetric routing .
Asymmetric routing occurs when outbound and return traffic traverse different network paths. This is particularly problematic with stateful network elements and the differing routing models associated with the two Oracle AI Database@Azure network implementations. The result can be data-plane traffic loss toward the VNet using Advanced Networking.
VNet peering itself does not upgrade a previously provisioned VNet to Advanced Networking, nor does it downgrade the Advanced Networking environment. Advanced Networking capability is determined by the feature configuration and the state of the delegated subnet before Oracle resources/VNICs are provisioned.
Therefore, the two environments should not be directly peered in this mismatched state. The correct answer is A .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking compatibility and VNet peering.
NEW QUESTION # 82
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