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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Provision Exadata infrastructure and clusters - Provision Base Database Service - Backup and restore processes - Provision Autonomous AI Database - Configure monitoring and observability |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding |
| 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) |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
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NEW QUESTION # 94
You have enabled automatic backups on an Autonomous AI Database with a 30-day retention period. You subsequently terminate the Autonomous Container Database. What happens to the previously retained automatic backups?
Answer: D
Explanation:
Oracle Autonomous Container Database backup configuration includes an explicit backup-retention policy on termination . Administrators can select one of two supported behaviors: retain backups according to the normal configured backup-retention period, or retain them for 72 hours after termination and then delete them .
Oracle documentation identifies these options as RETAIN_PER_RETENTION_WINDOW and RETAIN_FOR_72_HOURS. The latter is the default in relevant API/Terraform configuration. Therefore, terminating an Autonomous Container Database does not inherently result in the immediate deletion of all automatic backups. Their post-termination lifetime is governed by the configured termination-retention policy.
Standard automatic backups are also not automatically converted into Long-Term Retention backups when the database is terminated. LTR backups have their own lifecycle and are explicitly excluded from the ordinary ACD termination-retention setting. No automatic export to Azure Blob Storage occurs as part of ACD termination.
Thus, B correctly reflects Oracle's documented post-termination backup behavior.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Container Database automatic backups, termination and retention policy.
NEW QUESTION # 95
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?
Answer: A
Explanation:
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.
NEW QUESTION # 96
Which Recovery Manager (RMAN) method is recommended by Oracle Maximum Availability Architecture (MAA) and used by Zero Downtime Migration (ZDM) when direct data transfer is enabled?
Answer: D
Explanation:
For ZDM physical online migrations using direct data transfer , Oracle's Maximum Availability Architecture pattern uses RMAN's Restore From Service capability. Rather than first creating backup pieces in a staging location, transporting them, and then restoring them on the target, RMAN restores the target database directly across the network from the source service.
This design reduces intermediate storage requirements and simplifies the migration pipeline. Once the target database has been instantiated, ZDM automatically configures Oracle Data Guard and uses redo transport to maintain synchronization until the planned switchover. The combination of Restore From Service and Data Guard is the central technical pattern Oracle documents for physical online migration to Exadata Database Service on Oracle AI Database@Azure.
Although DUPLICATE ... FROM ACTIVE DATABASE is a legitimate RMAN cloning capability in other contexts, it is not the named method documented for this ZDM direct-data-transfer workflow. Compressed backup-set streaming and incremental image-copy pushing also imply different backup/staging mechanisms.
Therefore, Restore From Service is the MAA-aligned RMAN method represented by the scenario.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - MAA, ZDM Physical Online migration, RMAN direct data transfer and Restore From Service.
NEW QUESTION # 97
Your organization is migrating a critical core banking system from an on-premises Oracle Database 12c (12.1.0.2) on IBM AIX to Oracle Exadata Database Service on Dedicated Infrastructure (ExaDB-D) on Oracle Database@Azure. The target database on ExaDB-D must be provisioned on Oracle Database 19c, requiring a cross-platform and cross-version migration. Because this is a 24/7 billing system, the business mandates that the application downtime must be limited to only the few minutes required for the final switchover. The migration architect requires a workflow that performs initial schema loading via Data Pump and utilizes real-time transaction replication to keep the target in sync until switchover. As the migration architect, which Zero Downtime Migration (ZDM) workflow satisfies all of these requirements? Choose ONE.
Answer: B
Explanation:
The required workflow is ZDM Logical Online Migration . The defining requirements are cross-platform migration, database-version change, Data Pump initial loading, ongoing transaction replication, and minimal cutover downtime.
ZDM Logical Online uses Oracle Data Pump to establish the initial target data set and Oracle GoldenGate to capture and replicate transactions occurring on the source while the bulk migration is underway. Once the target is synchronized, ZDM coordinates the final cutover, reducing application interruption to the controlled switchover period.
This logical model is appropriate for migrations such as IBM AIX to Linux-based Exadata because logical migration is not dependent on source and target having identical physical database-file formats or endian architectures. It also accommodates supported cross-version migrations.
Logical Offline also uses Data Pump but does not maintain continuous GoldenGate synchronization and therefore requires substantially greater application downtime. Physical migration uses RMAN/Data Guard and is constrained by physical compatibility requirements, making it unsuitable for the described cross-platform transformation.
Thus, B is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate.
NEW QUESTION # 98
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
Answer: A,B
Explanation:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
NEW QUESTION # 99
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