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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata |
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding |
| Topic 3: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 4: Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Base Database Service - Configure monitoring and observability - Provision Exadata infrastructure and clusters - Backup and restore processes - Create and configure Azure delegated subnet - Provision Autonomous AI Database - Provision Exascale infrastructure and services |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - Explain networking concepts - Configure DNS - Describe supported network topologies |
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NEW QUESTION # 74
Which core Oracle Database technology is utilized under the hood to deliver localized node-level high availability in the MAA Silver tier for Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure?
Answer: C
Explanation:
Oracle Maximum Availability Architecture Silver adds Oracle Real Application Clusters (RAC) to the MAA Bronze foundation. RAC provides active-active database clustering across multiple database-server nodes while all instances access the same underlying database storage.
For Exadata Database Service on Dedicated Infrastructure, RAC supplies localized protection against database-instance and database-server failure. If one RAC instance or compute node fails, services and connections can relocate to surviving instances that are already running. RAC also materially reduces or eliminates database downtime for many planned maintenance operations.
Oracle Active Data Guard addresses a different availability layer: it maintains a physically separate standby database and is primarily used for site, availability-zone, or regional disaster recovery. Oracle GoldenGate performs logical data replication and integration, while Oracle Sharding distributes data across independent database shards for scale and fault isolation.
Oracle's current MAA documentation explicitly identifies RAC as the technology introduced at the Silver tier and recommends Exadata as the optimized RAC platform.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - MAA Silver, Oracle RAC and local high availability.
NEW QUESTION # 75
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
Answer: B,C
Explanation:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
NEW QUESTION # 76
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
Answer: A
Explanation:
Oracle owns and operates the underlying Exadata infrastructure layer used by Oracle AI Database@Azure, even though that infrastructure is physically located in Microsoft Azure data centers.
Consequently, Oracle performs infrastructure-level maintenance, patching, security updates, monitoring, and lifecycle operations.
Oracle-managed Exadata infrastructure components include the physical database-server hosts, storage servers, network fabric, hypervisor or virtualization infrastructure, firmware, management components, and control-plane systems. Microsoft supplies the Azure data-center environment and associated Azure platform capabilities, but Microsoft support engineers do not maintain Oracle's Exadata hardware/software stack.
The customer retains responsibility for customer-controlled portions of co-managed database environments, including database configuration and, depending on service and maintenance model, guest VM, Grid Infrastructure, database homes, and database software lifecycle activities. Oracle has also introduced optional Oracle-managed database software update capabilities for applicable newer Exadata services, but that does not change responsibility for the underlying infrastructure.
Therefore, C correctly identifies Oracle's Cloud Infrastructure operations organization.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - shared operational responsibility and Exadata infrastructure maintenance.
NEW QUESTION # 77
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: C
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 # 78
Your development team is trying to establish a private network connection from an Azure Container Apps environment to an Exadata database on Oracle AI Database@Azure, but the connection keeps timing out.
Which feature must you enable on your database virtual network (VNet) to resolve this compatibility issue?
Answer: A
Explanation:
Oracle explicitly requires Advanced Networking for compatibility between Oracle AI Database@Azure and certain Azure services that use specialized private-networking behavior. Oracle's troubleshooting documentation specifically identifies Azure Container Apps and serverless services such as Azure Functions using private endpoints as examples.
Without Advanced Networking, these services may be unable to establish supported connectivity to the Oracle AI Database@Azure delegated subnet even when basic VNet routing appears correct. The feature enables the enhanced networking capabilities required for these communication patterns and is also relevant to Global VNet Peering scenarios.
Oracle notes an important provisioning condition: Advanced Networking should be enabled before Oracle AI Database@Azure resources/VNICs have been provisioned in the delegated subnet for the feature to be applied correctly to subsequent resources.
An NVA route bypass does not provide this compatibility feature. FastConnect is an OCI dedicated- connectivity technology, and ExpressRoute Global Reach addresses ExpressRoute interconnection scenarios rather than the specific Azure Container Apps compatibility requirement.
Thus, C. Advanced Networking is the documented solution.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking, delegated subnet connectivity, Azure Container Apps and serverless/private endpoint integration.
NEW QUESTION # 79
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