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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 2: Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding |
| Topic 4: Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
| Topic 5: 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 Exascale infrastructure and services - Provision Autonomous AI Database |
| Topic 6: 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) |
| Topic 7: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
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質問 # 84
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
正解：A、D
解説：
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.
質問 # 85
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
正解：C
解説：
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.
質問 # 86
You are configuring logging for an Exadata Infrastructure resource in Oracle AI Database@Azure and attempt to save a second diagnostic setting that routes the same log categories to your primary Log Analytics workspace. What will occur when you attempt to save this configuration?
正解：A
解説：
Microsoft's Oracle Exadata Database on Dedicated Infrastructure observability guidance explicitly defines a no-duplicate-destination rule for these resources: two diagnostic settings cannot send the same log categories to the same destination. Each diagnostic-setting configuration must therefore remain unique.
An Exadata resource can have multiple diagnostic settings-Microsoft documents a maximum of five per resource-but those settings are intended to provide different category/destination combinations. If an administrator attempts to create another setting with the same log categories targeting the same Log Analytics workspace, the duplicate configuration is rejected rather than automatically consolidated.
Microsoft Sentinel does not serve as a conflict-management mechanism for the diagnostic-settings configuration, and the platform does not resolve the collision by modifying Log Analytics retention. Retention is a separate workspace/data-management concern.
This rule prevents unintended duplicate ingestion and avoids unnecessary telemetry duplication and associated ingestion cost.
Therefore, A accurately describes the outcome.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata logging, Azure Monitor diagnostic settings, Log Analytics and observability constraints.
質問 # 87
Which two are key architectural considerations that must be evaluated when designing a multicloud solution according to the Oracle Cloud Infrastructure (OCI) Multicloud Architecture Framework? (Choose two.)
正解：B、C
解説：
Oracle's Multicloud Architecture Framework emphasizes architectural considerations that arise because workloads, applications, data, identities, and operational responsibilities span multiple cloud providers. Two major areas are network latency/data movement and security, identity, and operations management .
Cross-cloud network latency can directly affect application response time, database performance, replication behavior, and transaction processing. Data movement can also introduce throughput constraints and cost considerations. Oracle therefore recommends workload placement and private connectivity strategies that minimize unnecessary cross-cloud distance and traffic.
Security and operations become similarly important because each cloud provider has its own IAM, monitoring, automation, and administrative models. Oracle recommends consistent identity and access policies, unified visibility, standardized automation, and common operational practices to avoid fragmented governance or management silos.
Hardware manufacturing origin and OCI hypervisor patch schedules do not represent the principal multicloud architectural design considerations described by the framework. Hypervisor maintenance is primarily a provider operational responsibility.
Therefore, B and D align directly with Oracle's documented multicloud design pillars.
Study Guide reference: Introduction to Multicloud - latency, data movement, Cloud Security, Cloud Operations, identity integration and operational standardization.
質問 # 88
Which two purchase options are available for Oracle Exadata Database Service on Exascale Infrastructure in Oracle AI Database@Azure? (Choose two.)
正解：A、D
解説：
Oracle Exadata Database Service on Exascale Infrastructure is eligible for both the Private Offer and Public Offer , with the Public Offer representing the Pay As You Go marketplace model.
A Private Offer is negotiated with Oracle and can include custom pricing, contract terms, usage commitments, and enterprise commercial arrangements. After agreement, the customer accepts the private offer through Azure Marketplace.
A Public Offer allows supported Oracle AI Database@Azure services to be purchased directly from Azure Marketplace without first negotiating a private commercial agreement. Oracle describes this model as Pay As You Go, with no predetermined usage commitment. Oracle's current Azure service table explicitly lists Exadata Database Service on Exascale Infrastructure as eligible for both offer types.
Azure Reserved Instance pricing is an Azure compute purchasing construct and is not one of the Oracle AI Database@Azure offer mechanisms. Oracle also specifies that free-trial subscription models are not the purchasing path for these multicloud database resources.
Therefore, B and C are correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Public Offer, Private Offer and Exascale purchasing.
質問 # 89
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