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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
| Topic 3: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Configure monitoring and observability - Provision Autonomous AI Database - Provision Base Database Service - Provision Exascale infrastructure and services - Create and configure Azure delegated subnet - Provision Exadata infrastructure and clusters - Backup and restore processes |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding - Explain Oracle AI Database@Azure and its architecture |
| Topic 7: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) |
The Oracle 1z0-1147 exam questions pdf is properly formatted to give candidates the asthenic and unformatted information they need to succeed in the 1z0-1147 exam. In addition to the comprehensive material, a few basic and important questions are highlighted and discussed in the 1z0-1147 Exam Material file. These questions are repeatedly seen in past Oracle AI Database@Azure Architect Professional exam papers. The Oracle AI Database@Azure Architect Professional practice questions are easy to access and can be downloaded anytime on your mobile, laptop, or MacBook.
NEW QUESTION # 49
You are planning a ZDM Physical Online migration of a 10 TB production database to Exadata on Oracle Database@Azure and want to avoid using intermediate storage for backups. Which database creation method will ZDM automatically utilize to build the target database directly from the source database?
Answer: C
Explanation:
Oracle's preferred ZDM Physical Online workflow for Oracle Database@Azure supports direct data transfer
, specifically to avoid staging large RMAN backups in intermediate object or file storage. In this workflow, ZDM creates the target database using the Restore From Service method.
RMAN streams the required database blocks directly from the source database service to the target environment over the configured network connection. After the target database has been instantiated, Oracle Data Guard maintains synchronization between source and target by transporting and applying redo. ZDM then orchestrates the cutover when the migration reaches the appropriate stage.
This approach is particularly significant for a large database such as the 10 TB system in the scenario because intermediate backup staging would require substantial temporary storage, additional I/O, and backup-transfer operations. Oracle explicitly states that the physical online direct-data-transfer workflow creates the target through Restore From Service and avoids backing up the source to an intermediate storage location.
Backup and Restore therefore describes the physical offline/staged model. Transportable Tablespaces is not the standard ZDM physical-online instantiation mechanism.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Physical Online, direct data transfer, RMAN Restore From Service and Data Guard.
NEW QUESTION # 50
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: A
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 # 51
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
Answer: B
Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
NEW QUESTION # 52
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: C
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 # 53
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Answer: C,D
NEW QUESTION # 54
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