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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Autonomous AI Database - Backup and restore processes - Create and configure Azure delegated subnet - Provision Base Database Service - Configure monitoring and observability - Provision Exascale infrastructure and services - Provision Exadata infrastructure and clusters |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| 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) |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
| 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 |
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NEW QUESTION # 30
Which of the following is NOT a valid managed backup destination for an Exadata Database in Oracle AI Database@Azure?
Answer: B
Explanation:
The invalid managed backup destination is the physical Zero Data Loss Recovery Appliance (ZDLRA) .
Oracle AI Database@Azure currently provides two primary managed automatic backup destinations for Exadata databases: Oracle Database Autonomous Recovery Service and OCI Object Storage . Oracle recommends Autonomous Recovery Service because it provides database-aware incremental-forever protection, policy-based retention, recoverability validation, optional real-time redo protection, and retention- lock capabilities.
Long-Term Retention is a supported capability of Recovery Service and allows selected backups to be preserved for extended compliance periods. It therefore represents a valid managed backup lifecycle option, even though technically it is a Recovery Service feature rather than an independent storage system.
The Zero Data Loss Recovery Appliance is a physical Oracle engineered system primarily used in customer data centers and appropriate Cloud@Customer architectures. Autonomous Recovery Service incorporates technologies derived from the Recovery Appliance but is delivered as a managed cloud service; these two should not be confused.
Therefore, the answer to the "NOT valid" question is B .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata automatic backups, Object Storage and Autonomous Recovery Service.
NEW QUESTION # 31
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: C
Explanation:
Oracle Autonomous AI Database Serverless allows administrators to configure the automatic backup- retention window according to business recovery and compliance requirements. Oracle's current Autonomous AI Database provisioning documentation specifies an allowable automatic backup-retention range of 1 through 60 days .
Within that period, the database can be restored and recovered to an appropriate point in time, subject to the normal Autonomous AI Database backup and recovery mechanisms. A longer retention window provides a broader point-in-time recovery horizon but must also be considered alongside governance, compliance, and backup-protection requirements.
Oracle also supports Backup Retention Lock , which materially changes administrative behavior. When the retention period is locked, administrators cannot simply disable the lock or alter the protected retention setting through ordinary provisioning controls; Oracle Support intervention is required for those changes. This distinction is important for regulated workloads where backup immutability or protection from malicious administrative actions is required.
The alternatives beginning at seven days incorrectly raise the minimum, while the 30-day options incorrectly reduce the supported maximum. The complete configurable range is therefore 1-60 days .
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database automatic backups, point-in-time recovery, backup-retention configuration and retention lock.
NEW QUESTION # 32
You are designing a high-availability database environment for a lightweight application using Oracle Base Database Service on Oracle AI Database@Azure. What must you consider regarding Oracle Real Application Clusters (RAC) availability when selecting this specific database service?
Answer: D
Explanation:
Oracle Base Database Service in Oracle AI Database@Azure is designed as a cost-effective single-instance database service , not as an Oracle RAC platform. Consequently, an architect selecting Base Database Service must recognize that multi-node Oracle Real Application Clusters are not available in this service configuration.
Oracle's current Oracle AI Database@Azure service comparison explicitly describes Base Database Service as shared infrastructure for running single instance Oracle Databases using general-purpose VM compute and network-attached storage. Where RAC-level database clustering is required, an Exadata-based service should be evaluated instead, because Oracle Exadata Database Service provides the clustered database architecture required for RAC.
The limitation is not associated with whether the older OCPU or newer ECPU compute model is used. Nor can a Base Database Service DB System become RAC merely by associating it with dedicated Exadata hardware; doing so would represent a different Oracle database service.
Therefore, the correct architectural constraint is C .
Study Guide reference: HA and DR with Oracle AI Database@Azure - Base Database Service availability architecture and RAC support.
NEW QUESTION # 33
A mid-size retailer wants to move a moderately sized seasonal transactional workload to Oracle AI Database@Azure. They want to avoid provisioning dedicated database and storage servers, want to start with a small committed footprint and elastically scale ECPUs and storage online as holiday sales volume grows, and want the ability to create instant, space-efficient thin clones of production for their developers. As the architect, you must select the Oracle AI Database@Azure deployment option that meets all of these needs.
Choose ONE.
Answer: A
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure precisely matches the scenario. Exascale uses Oracle-managed, multitenant physical database-server infrastructure, allowing customers to provision relatively small VM Clusters rather than committing to dedicated Exadata database and storage servers.
A VM Cluster can begin at 8 ECPUs per VM and scale its compute allocation in 4-ECPU increments.
Exascale storage is also elastic and can be expanded without requiring customers to add or manage physical Exadata Storage Servers.
A distinctive Exascale feature is redirect-on-write thin cloning . Oracle documents the ability to create space-efficient PDB clones in which unchanged blocks remain shared between the parent and clone. This makes development and test copies fast to provision and economical in storage consumption.
Dedicated Infrastructure contradicts the requirement to avoid dedicated server capacity. Base Database Service does not offer the same Exascale thin-clone architecture, while Autonomous Serverless represents a different autonomous operating model.
Therefore, B is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elasticity and thin clones.
NEW QUESTION # 34
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?
Answer: C
Explanation:
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.
NEW QUESTION # 35
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