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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding - Roles and permissions |
| Topic 2: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - RMAN-based migration - Migration strategy selection - Migration validation and cutover - Data Guard and GoldenGate - Oracle Data Pump - Zero Downtime Migration |
| Topic 3: HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Data Guard and Autonomous Data Guard - RTO and RPO considerations - Switchover and failover - Point-in-time recovery - Availability zones and Exadata redundancy - Backup and restore |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Cloning and refreshing databases - Quotas and service limits - Container and Pluggable Databases - Monitoring and database management - Exadata Infrastructure and VM Clusters - Scaling and resource management - Patching and maintenance - Autonomous Database Serverless |
| Topic 5: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 6: Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Network isolation - Transparent Data Encryption - Auditing and logging - Oracle-managed and customer-managed keys - Azure and OCI separation of duties - Database and infrastructure access control |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - ExpressRoute and site-to-site connectivity - Default and advanced networking - VNet peering and connectivity - Network security groups - DNS resolution and private connectivity - Delegated subnets - Oracle.Database network attachments - User-defined routes |
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NEW QUESTION # 12
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
Answer: D
Explanation:
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.
NEW QUESTION # 13
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: C
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 # 14
What is the minimum number of ECPUs required per VM to provision a VM cluster on Oracle Exadata Database Service on Exascale Infrastructure?
Answer: A
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) resource model. During initial VM Cluster provisioning, Oracle requires a minimum of 8 ECPUs enabled per VM .
The distinction between the initial minimum and subsequent scaling increments is important. After the VM Cluster exists, enabled compute capacity is adjusted in increments of 4 ECPUs . Therefore, 4 ECPUs represents the scaling granularity, not the minimum provisionable starting configuration. Oracle also allows enabled ECPUs to be reduced to zero after provisioning when administrators need to temporarily shut down the VMs and suspend enabled-ECPU usage billing, but zero cannot be used as the initial active configuration.
Current Oracle documentation defines the supported total ECPU allocation per VM within the applicable Exascale service limits and explicitly states that the provisioned value must be a multiple of four.
Consequently, neither 1 nor 4 meets the initial provisioning baseline, while 16 is valid but exceeds the minimum. The correct answer is A. 8 ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale VM Cluster sizing and ECPU configuration.
NEW QUESTION # 15
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: D
Explanation:
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.
NEW QUESTION # 16
Which ZDM migration workflow uses an initial load followed by GoldenGate-based change data capture to achieve near-zero downtime?
Answer: C
Explanation:
Logical Online Migration combines an initial logical data load with Oracle GoldenGate change data capture to minimize production downtime.
The initial target database is populated using Oracle Data Pump export and import. Because that data movement can take a substantial amount of time for large databases, Oracle GoldenGate continuously captures transactions committed on the source while the initial load is being performed. Those transactions are subsequently applied to the target, allowing the destination to converge with the production source while the application remains active.
When synchronization reaches the required state, ZDM orchestrates the final migration phases and application cutover. The downtime requirement is therefore concentrated around the final transition rather than the entire export/import window.
Logical Offline uses Data Pump without continuous GoldenGate synchronization. Physical Online uses RMAN-based target instantiation and Oracle Data Guard redo synchronization instead of GoldenGate.
Physical Offline similarly relies on physical backup/restore processes and does not use logical change-data capture.
Thus, B. Logical Online Migration is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate CDC.
NEW QUESTION # 17
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