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| Section | Weight | Objectives |
|---|---|---|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Configure monitoring and observability - Provision Exadata infrastructure and clusters - Provision Autonomous AI Database - Provision Exascale infrastructure and services - Create and configure Azure delegated subnet - Backup and restore processes - Provision Base Database Service |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Configure prerequisites for onboarding - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture |
| Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
>> 1z1-1147 Quizfragen Und Antworten <<
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16. Frage
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Antwort: D
Begründung:
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.
17. Frage
If a customer does not configure a customer-managed key, where does Oracle AI Database@Azure store the default TDE master encryption key for an Exadata database?
Antwort: A
Begründung:
The default encryption-key model for an Exadata database on Oracle AI Database@Azure is Oracle- Managed Keys (OMK) . Under this model, Oracle automatically generates the Transparent Data Encryption master encryption key and stores it in an Oracle Wallet secured within the database environment.
Oracle manages the complete lifecycle of this default key, including generation, secure storage, rotation, backup, and restoration. No additional customer-side key-management infrastructure is required.
OCI Vault, Oracle Key Vault, and Azure Key Vault represent customer-managed key alternatives. When an organization selects one of these mechanisms, the TDE master key is managed outside the local Oracle Wallet, enabling centralized customer control, auditing, rotation policy, and separation of duties. However, none is the default unless the customer explicitly configures a customer-managed key architecture.
Oracle's current security documentation explicitly identifies Oracle Wallet as the default encryption-key setting for Exadata Database Service on Oracle AI Database@Azure.
Therefore, C. Oracle Wallet is correct.
Study Guide reference: Secure Oracle AI Database@Azure - TDE, Oracle-managed keys and Oracle Wallet.
18. Frage
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.
Antwort: B
Begründung:
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.
19. Frage
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?
Antwort: B
Begründung:
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.
20. Frage
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Antwort: A,D
21. Frage
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