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| Section | Weight | Objectives |
|---|---|---|
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Backup and restore processes - Configure monitoring and observability - Create and configure Azure delegated subnet - Provision Base Database Service - Provision Autonomous AI Database - Provision Exascale infrastructure and services |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database - Understand Oracle Zero Downtime Migration (ZDM) |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
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Test your knowledge of the 1z0-1147 exam dumps with Oracle 1z0-1147 practice questions. The software is designed to help with Oracle AI Database@Azure Architect Professional (1z0-1147) exam dumps preparation. Oracle 1z0-1147 Practice Test software can be used on devices that range from mobile devices to desktop computers.
NEW QUESTION # 24
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: A
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 # 25
Which of the following is NOT one of the documented supported network topologies for Oracle AI Database@Azure?
Answer: A
Explanation:
Azure Front Door single-endpoint routing is not a documented Oracle AI Database@Azure database connectivity topology.
Azure Front Door is primarily a global Layer-7 HTTP/HTTPS application-delivery, acceleration, and load- balancing service. It is designed for web applications and public-facing application endpoints rather than private SQL*Net/database connectivity into an Oracle AI Database@Azure delegated subnet.
Oracle's documented networking patterns instead center on Azure VNets and private routing. These include local/same-region VNet connectivity, VNet peering, Hub-and-Spoke VNet peering, cross-region connectivity, and hybrid on-premises Hub-and-Spoke architectures. Oracle also documents enterprise connectivity patterns involving Azure Virtual WAN.
Hub-and-Spoke is particularly important where centralized firewalls or NVAs must inspect database-bound traffic, while local VNet/VNet peering is useful for direct application-to-database private communication where minimizing network latency is the priority.
Because Azure Front Door does not provide the required private database networking architecture and is absent from Oracle's supported topology set, C is the correct answer.
Study Guide reference: Configure Oracle AI Database@Azure Networking - supported VNet, peering, Hub-and-Spoke and enterprise connectivity topologies.
NEW QUESTION # 26
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: C,D
Explanation:
Oracle Zero Downtime Migration organizes its Oracle database migration methods into two fundamental workflow families: Physical Migration and Logical Migration . Each family can then have online and offline variants depending on compatibility requirements and acceptable downtime.
Physical migrations operate on the physical database representation and rely on technologies such as RMAN and Oracle Data Guard. Physical Online migration can instantiate a target using Restore From Service and maintain synchronization using Data Guard, while Physical Offline uses RMAN backup and restore.
Logical migrations operate through logical database objects and data. Oracle Data Pump provides the initial export/import mechanism, while Logical Online migration integrates Oracle GoldenGate to capture and replicate ongoing transactions before cutover. Logical workflows are also suitable for many cross-version or cross-platform scenarios that physical workflows cannot support.
"Container-based migration" and "snapshot-based migration" are not ZDM's top-level migration workflow categories.
Oracle's current ZDM documentation explicitly states that ZDM supports both Physical and Logical Migration workflows.
Therefore, B and D are correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM workflow categories.
NEW QUESTION # 27
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: B,C
Explanation:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
NEW QUESTION # 28
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: B
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 29
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