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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding - Understand purchase options |
| Topic 2: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exascale infrastructure and services - Provision Autonomous AI Database - Provision Exadata infrastructure and clusters - Create and configure Azure delegated subnet - Configure monitoring and observability - Backup and restore processes - Provision Base Database Service |
| Topic 3: Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Explain networking concepts - Configure DNS |
| Topic 4: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 5: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 6: 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) |
| Topic 7: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
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NEW QUESTION # 53
Your team is migrating a processing-intensive workload to Oracle Autonomous AI Database Serverless on Oracle AI Database@Azure and needs to scale up the compute allocation during provisioning. What is the maximum number of ECPUs that can be configured for a single database instance using the slider user interface?
Answer: A
Explanation:
The standard Oracle Autonomous AI Database Serverless resource-allocation interface permits the administrator to configure the base compute allocation up to 512 ECPUs using the ECPU slider. This value represents the configured base ECPU count for a single database instance rather than the potential temporary compute consumption obtainable through compute auto scaling.
Oracle distinguishes configured ECPUs from auto-scaled usage. For eligible Autonomous AI Database configurations, compute auto scaling can allow the database to consume additional processing capacity above the configured base according to workload demand. For example, a database configured with 512 ECPUs may be capable of consuming substantially more effective processing capacity when auto scaling is enabled, subject to the service and licensing model.
The 1024-ECPU option therefore does not represent the normal single-instance slider ceiling addressed by this question. The 256- and 128-ECPU values are valid intermediate configurations but are below the maximum.
Consequently, A. 512 ECPUs is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless provisioning, ECPU configuration and compute scaling.
NEW QUESTION # 54
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 # 55
Your organization is deploying a business-critical database on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. Your security and compliance officer mandates that all database backups must remain exclusively within the local Azure region to satisfy strict data residency laws, and they must be protected against ransomware using an immutable, policy-based retention lock.
Additionally, the business requires real-time database protection that reduces potential data loss to less than one second in the event of an outage. Finally, the procurement team wants to ensure that the storage cost of these backups draws down on their existing Microsoft Azure Consumption Commitment (MACC). Which backup option should you implement to meet all of these requirements? Choose ONE.
Answer: A
Explanation:
Oracle Database Autonomous Recovery Service with Azure-based storage is specifically designed to satisfy this combination of data residency, ransomware protection, near-zero data loss, and Azure commercial integration.
Oracle allows the protection policy to specify Store backups in the same cloud provider as the database , which keeps Oracle Database@Azure Recovery Service backups within Azure rather than the paired OCI region. A protection policy can also enable Retention Lock , preventing backups from being modified or deleted before policy expiration and providing protection against accidental or malicious deletion.
For business-critical databases, Real-time Data Protection can be enabled. Oracle describes this as providing recovery to the last sub-second, materially reducing potential data-loss exposure compared with ordinary periodic backups.
Oracle AI Database@Azure usage is billed through Azure Marketplace and counts toward Microsoft Azure Consumption Commitment. Standard OCI Object Storage would not satisfy the stated local-Azure-only storage requirement. Customer-managed Blob Storage lacks the integrated Recovery Service real-time protection model, while ZDLRA is an engineered on-premises recovery appliance rather than the native Oracle AI Database@Azure service.
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, retention lock, real-time protection and data residency.
NEW QUESTION # 56
Which Oracle AI Database@Azure purchase option requires the customer to create a new OCI tenancy as part of onboarding?
Answer: A
Explanation:
Oracle's current onboarding documentation explicitly states that customers purchasing through the Public Offer (Pay As You Go) must create a new OCI tenancy during onboarding.
The Public Offer is purchased directly in Azure Marketplace without negotiating a contract with Oracle Sales.
Billing occurs through Azure, usage can count toward Microsoft Azure Consumption Commitment, and customers can start or stop consumption without a predetermined usage commitment. However, the trade-off relevant to this question is that an existing OCI tenancy cannot be linked to a Public Offer.
The Private Offer is different. Private Offer customers negotiate commercial terms with Oracle and can either link an eligible existing OCI tenancy or create a new OCI tenancy during onboarding.
Bring Your Own License affects Oracle Database software licensing economics rather than defining the Marketplace onboarding path. Universal Credits is likewise an OCI commercial construct and is not the Public
/Private Oracle AI Database@Azure offer selection being tested.
Therefore, B is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Public Offer, Private Offer and OCI tenancy requirements.
NEW QUESTION # 57
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 # 58
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