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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Microsoft Entra ID and OCI IAM federation - Roles and permissions - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding |
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Auditing and logging - Transparent Data Encryption - Database and infrastructure access control - Encryption in transit - Oracle-managed and customer-managed keys - Network isolation - Azure and OCI separation of duties |
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration strategy selection - Data Guard and GoldenGate - Oracle Data Pump - RMAN-based migration - Migration validation and cutover |
| Topic 4: HA and DR with Oracle AI Database@Azure | 10% | - Data Guard and Autonomous Data Guard - RTO and RPO considerations - High availability architecture - Availability zones and Exadata redundancy - Backup and restore - Switchover and failover - Point-in-time recovery |
| Topic 5: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Container and Pluggable Databases - Scaling and resource management - Autonomous Database Serverless - Cloning and refreshing databases - Patching and maintenance - Quotas and service limits - Exadata Infrastructure and VM Clusters - Monitoring and database management |
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - DNS resolution and private connectivity - Default and advanced networking - Oracle.Database network attachments - VNet peering and connectivity - Network security groups - ExpressRoute and site-to-site connectivity - User-defined routes - Delegated subnets |
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
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NEW QUESTION # 23
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: B
Explanation:
For a cross-region Autonomous Data Guard standby , Oracle specifies a maximum possible data-loss objective of approximately 1 minute . Accordingly, the intended Recovery Point Objective is one minute.
Cross-region protection differs from a local Autonomous Data Guard standby because geographical distance makes fully synchronous zero-data-loss transport impractical for normal cross-region operation. Oracle therefore uses an asynchronous protection model that provides a bounded RPO while maintaining acceptable database performance.
A useful distinction is between RPO and RTO. RPO measures potential data loss, whereas RTO measures how long restoration of service is targeted to take. Oracle's current Autonomous AI Database Serverless SLO documentation continues to specify a 1-minute cross-region RPO . Current documentation has improved the cross-region RTO target to less than 10 minutes ; older material cited approximately 15 minutes. That RTO evolution does not affect the answer to this question because only RPO is being tested.
Zero data loss therefore applies to different protection scenarios, while five and fifteen minutes do not represent the documented cross-region RPO.
Study Guide reference: HA and DR - Autonomous Data Guard local and cross-region recovery objectives.
NEW QUESTION # 24
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: D
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 # 25
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Answer: C,D
NEW QUESTION # 26
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 # 27
Which service is Oracle's native, recommended tool to orchestrate and automate database-level role transitions (switchover and failover) across regions for Oracle Database@Azure?
Answer: B
Explanation:
Oracle recommends OCI Full Stack Disaster Recovery (Full Stack DR) for orchestrating disaster-recovery operations around Oracle Database@Azure deployments.
Oracle's reference architecture for local and regional Oracle Database@Azure standbys explicitly recommends Full Stack DR to orchestrate database switchover and failover operations . The service can coordinate ordered disaster-recovery plans instead of requiring administrators to manually perform every database and infrastructure transition during an incident or DR drill.
Oracle Data Guard remains the underlying database replication and role-management technology, while Full Stack DR provides the higher-level orchestration framework for executing coordinated transitions.
Azure Site Recovery is primarily designed for Azure VM and workload replication/recovery and is not Oracle's recommended database-role orchestration service. GoldenGate provides logical replication and data integration rather than end-to-end DR orchestration. Azure Traffic Manager performs DNS-based traffic distribution and can participate in application routing, but it does not execute Oracle database switchovers or failovers.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Full Stack DR orchestration and Data Guard role transitions.
NEW QUESTION # 28
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