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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 3: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 5: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Data protection
|
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問題 #65
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?
答案：D
解題說明：
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.
問題 #66
Your database administrator enabled a backup retention lock on an Autonomous AI Database in Oracle AI Database@Azure but now needs to reduce the retention period. What must you do to disable this retention lock or alter the retention period?
答案：C
解題說明：
Backup Retention Lock is a protection mechanism intended to prevent administrators or compromised credentials from prematurely reducing the recoverability window of Autonomous AI Database backups. Once the lock is established, normal administrative interfaces cannot simply disable it or reduce the protected backup-retention period.
Oracle's Autonomous AI Database documentation explicitly states that after the backup retention lock has been set, the option cannot be disabled or the retention period changed through ordinary database administration. To disable the lock or modify the locked retention setting, the administrator must file a Service Request with Oracle Cloud Support .
This design provides an administrative separation between ordinary database management and an action that could materially weaken backup protection. Changing an Azure Key Vault key has no relationship to the retention-policy lock. An SQL ALTER DATABASE command cannot override a service-level backup governance control, and the Azure Portal does not expose a supported bypass to reduce the locked period.
Accordingly, A is the only supported escalation path in the choices.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database backup protection, retention policy, retention lock and operational security controls.
問題 #67
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
答案：B,D
解題說明：
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.
問題 #68
You have accepted and purchased a Private Offer for Oracle AI Database@Azure in the Azure Marketplace, and the offer status now shows as subscribed. What must you do before you can provision Exadata resources?
答案：D
解題說明：
Purchasing and subscribing to the Oracle AI Database@Azure Private Offer establishes the Azure Marketplace commercial relationship, but it does not complete the technical onboarding process. The next mandatory stage is linking the Azure subscription to an Oracle Cloud Infrastructure tenancy . Oracle refers to this process as multicloud linking.
For a Private Offer, the customer can either create a new OCI tenancy or link an existing eligible OCI tenancy. The linked OCI account supplies the Oracle-side control-plane context used for database resources, including management of container databases and pluggable databases and delivery of Oracle infrastructure and software maintenance services. Only after the Purchase and Link stages have been completed and the account relationship is verified can normal Oracle AI Database@Azure resource provisioning proceed.
Azure Key Vault integration is optional and relates to customer-managed TDE keys. Data Guard is configured after database infrastructure exists, and an Autonomous Database is not a prerequisite for Exadata.
Therefore, D is correct. Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding
- Purchase, Link, Verify, and OCI tenancy association.
問題 #69
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?
答案：D
解題說明：
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.
問題 #70
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