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| Section | Weight | Objectives |
|---|---|---|
| HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - RTO and RPO considerations - High availability architecture - Availability zones and Exadata redundancy - Data Guard and Autonomous Data Guard - Switchover and failover - Point-in-time recovery |
| Secure Oracle AI Database@Azure | 15% | - Auditing and logging - Azure and OCI separation of duties - Encryption in transit - Network isolation - Database and infrastructure access control - Transparent Data Encryption - Oracle-managed and customer-managed keys |
| Configure Oracle AI Database@Azure Networking | 15% | - VNet peering and connectivity - DNS resolution and private connectivity - Delegated subnets - ExpressRoute and site-to-site connectivity - Oracle.Database network attachments - Network security groups - Default and advanced networking - User-defined routes |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Roles and permissions - Azure Marketplace purchase and onboarding - Oracle AI Database@Azure architecture - Microsoft Entra ID and OCI IAM federation |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration validation and cutover - Oracle Data Pump - RMAN-based migration - Migration strategy selection - Data Guard and GoldenGate |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Monitoring and database management - Autonomous Database Serverless - Quotas and service limits - Cloning and refreshing databases - Container and Pluggable Databases - Exadata Infrastructure and VM Clusters - Scaling and resource management - Patching and maintenance |
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NEW QUESTION # 32
Which two Oracle high availability and data replication technologies does Oracle Zero Downtime Migration (ZDM) orchestrate when performing online migrations, both physical and logical, to Oracle Database@Azure? (Choose two.)
Answer: A,B
Explanation:
Oracle Zero Downtime Migration is Oracle Maximum Availability Architecture's recommended orchestration framework for moving Oracle databases while minimizing production interruption. For physical online migration , ZDM uses Oracle Data Guard. The target database is instantiated as a physical standby, redo generated on the source is transported and applied to the target, and ZDM coordinates the eventual switchover. Oracle documentation for Oracle Database@Azure specifically states that physical online migration uses direct data transfer, Restore From Service, and Oracle Data Guard to keep source and target synchronized.
For logical online migration , the underlying synchronization technology is Oracle GoldenGate. Oracle Data Pump provides the initial logical export/import, after which GoldenGate captures ongoing source transactions and applies them to the target until cutover. This workflow can also accommodate scenarios involving different database versions or platforms.
Oracle Sharding is an application/data-distribution architecture rather than ZDM's replication mechanism. Far Sync is a Data Guard component for specialized zero-data-loss configurations but is not the primary technology identified for ZDM migration orchestration.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM physical online migration, logical online migration, Data Guard, GoldenGate, Data Pump.
NEW QUESTION # 33
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 # 34
Which two key management options are available for protecting transparent data encryption (TDE) master keys on Exadata databases in Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Oracle AI Database@Azure supports two broad TDE master-key management approaches: Oracle-managed keys and customer-managed keys .
With the default Oracle-managed model, the TDE master encryption key is generated and stored in an Oracle Wallet within the database environment. Oracle manages key generation, storage, rotation, backup, and restoration activities associated with this model.
For customer-controlled key management, Oracle supports several external key stores. For Exadata Database Service on Dedicated Infrastructure, these include Azure Key Vault , OCI Vault, and Oracle Key Vault.
Azure Key Vault integration is particularly useful for organizations that want their database encryption-key governance aligned with existing Azure key-management, auditing, and separation-of-duties practices.
AWS KMS and Google Cloud KMS are not native key-management choices for an Oracle AI Database@Azure Exadata deployment.
Therefore, the two correct selections from this answer set are A and D .
Study Guide reference: Secure Oracle AI Database@Azure - Transparent Data Encryption, Oracle Wallet, customer-managed keys and Azure Key Vault.
NEW QUESTION # 35
Which ZDM migration workflow uses an initial load followed by GoldenGate-based change data capture to achieve near-zero downtime?
Answer: A
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 # 36
Your team has configured a local standby database for an Oracle Autonomous Database@Azure deployment within the same region to protect against instance-level failures. What are the Service Level Objectives (SLOs) for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) when utilizing this local standby configuration with automatic failover?
Answer: A
Explanation:
Oracle Autonomous AI Database Serverless documents a local Autonomous Data Guard standby RTO SLO of two minutes for failure events that require failover to the standby.
For the Recovery Point Objective, current Oracle documentation is slightly more precise than the wording in option A: the local standby's maximum possible data-loss objective is less than 10 seconds . Therefore, the exam option stating "RPO of 10 seconds" represents the intended and closest supported value.
These SLOs apply to events such as full database failure, complete storage failure, corruption scenarios requiring standby transition, and availability-domain failures when Autonomous Data Guard is enabled. Local standby protection provides materially faster recovery and a substantially smaller possible data-loss window than cross-region standby protection because replication remains geographically close.
An hour-long RTO is inconsistent with active standby protection, while five-minute RPO and thirty-second RPO values do not match Oracle's stated local Autonomous Data Guard objectives.
Therefore, A is correct, interpreted technically as 2-minute RTO and < 10-second RPO .
Study Guide reference: HA and DR - Autonomous Data Guard local standby SLOs.
NEW QUESTION # 37
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