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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Topic 3: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 4: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 5: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding |
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Backup and restore processes - Provision Base Database Service - Provision Exadata infrastructure and clusters - Provision Autonomous AI Database - Configure monitoring and observability - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services |
| Topic 7: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
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NEW QUESTION # 98
Which capability is uniquely supported by the flexible VM.BaseDB.x86 virtual machine shape in Oracle Base Database Service on Oracle AI Database@Azure?
Answer: A
Explanation:
The VM.BaseDB.x86 shape introduces a flexible ECPU allocation model for Oracle Base Database Service in Oracle AI Database@Azure. Its key capability is that administrators can modify the number of allocated ECPUs after the DB system has already been provisioned .
Oracle announced support for this shape in July 2026 and documents the ability to create and manage Base Database DB systems with flexible ECPU allocation. In the resource-management workflow, the administrator can select the option to update the ECPU count and save the revised configuration. Supported systems using VM.Standard.x86 can also be migrated to the new flexible shape.
The shape does not provide independent arbitrary memory scaling divorced from its compute model. It does not convert database storage into local logical volumes. Most importantly, Oracle explicitly states that Oracle Real Application Clusters (RAC) is not supported for this Base Database configuration, eliminating option C.
Therefore, the defining capability represented in the choices is D: modification of ECPU allocations after provisioning .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Oracle Base Database Service, VM.BaseDB.x86 flexible shape and ECPU scaling.
NEW QUESTION # 99
An architect is designing a cross-region disaster recovery (DR) topology for Oracle Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure. The Active site virtual network is named odb- multicloud-production-vnet with a delegated subnet named odb-multicloud-production-subnet. The DR site virtual network is named odb-multicloud-production-DR-vnet with a delegated subnet named odb-multicloud- production-DR-subnet. When configuring both clusters to use the default managed DNS, the architect discovers that both sites automatically generate the identical host domain and DNS private zone name of ociodbmulticlo.ociodbmulticlo.oraclevcn.com, preventing unique DNS conditional forwarding from on- premises servers. To resolve this naming collision while continuing to use default managed DNS, what must the architect do? Choose ONE.
Answer: C
Explanation:
Under the default managed-DNS model, Oracle derives the private Oracle domain from normalized VNet and delegated-subnet naming components. In the source scenario, the production and DR resource names share the same leading characters, causing both sites to derive the same oraclevcn.com private DNS namespace.
The practical resolution is therefore to alter the naming inputs before deployment so the generated DNS labels are unique. The uploaded question set specifies that the relevant generated tokens use the first 11 alphanumeric characters , so either the DR VNet or delegated subnet must be renamed such that the derived prefix differs from the active environment.
The Host Domain Name field associated with default managed DNS is system-generated rather than freely editable. Adding another DNS resolver does not eliminate the underlying duplicate private-zone namespace, and DNS views cannot reliably correct a collision created at resource provisioning.
Therefore, D resolves the root cause while retaining Oracle-managed DNS.
Study Guide reference: Configure Oracle AI Database@Azure Networking - default DNS, oraclevcn.
com, VNet/subnet DNS derivation and DR naming design.
NEW QUESTION # 100
You are provisioning a new guest Exadata VM Cluster inside the Azure Portal and must specify a unique identifier for the host name prefix. What is the maximum number of characters allowed for this host name prefix under Oracle AI Database@Azure network design rules?
Answer: C
Explanation:
Oracle AI Database@Azure applies stricter hostname-prefix validation than the generic 63-character DNS- label maximum. For an Exadata VM Cluster, Oracle's DNS and network-design documentation specifies a maximum hostname-prefix length of 23 characters .
The value also has syntactic constraints. It must begin with a letter, end with an alphanumeric character, and can contain hyphens. Certain reserved values are prohibited. These restrictions exist because the supplied prefix becomes part of system-generated host and database-network names; Oracle must reserve additional character capacity for generated suffixes and service-specific naming constructs.
Therefore, 63 characters represents a general DNS-label ceiling but is not valid for this Exadata field. Thirty characters likewise exceeds the Oracle-specific limit, while 15 characters is unnecessarily restrictive.
The correct maximum is consequently 23 characters .
This is a configuration detail worth memorizing because hostname validation occurs during VM Cluster provisioning and an invalid prefix can block resource creation before the underlying Exadata compute nodes are deployed.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Exadata VM Cluster DNS, hostname prefix rules and naming constraints.
NEW QUESTION # 101
Your company wants to purchase Oracle Exadata Database Service on Dedicated Infrastructure via the Azure Marketplace but finds that it is only eligible through custom Private Offers. Which alternative high- performance database service should you select that is eligible for purchase via both Public Offers and Private Offers in the Azure Marketplace?
Answer: C
Explanation:
Oracle's current Oracle AI Database@Azure service matrix explicitly identifies Oracle Exadata Database Service on Exascale Infrastructure as eligible for both Private Offer and Public Offer purchasing models.
A Public Offer uses a pay-as-you-go Azure Marketplace model and allows customers to begin consuming supported services without first negotiating a custom contract with Oracle Sales. A Private Offer is based on negotiated commercial terms and is appropriate for enterprise commitments and customized pricing.
Exadata Database Service on Dedicated Infrastructure is Private Offer eligible but not Public Offer eligible.
The same Private-Offer-only restriction applies to Autonomous AI Database on Dedicated Exadata Infrastructure. Oracle Database Autonomous Recovery Service is a database protection service rather than the alternative primary high-performance Exadata database platform requested by the scenario, and it is also listed as Private Offer only.
Exascale therefore combines Exadata database capabilities with a lower-entry, elastic shared-infrastructure model and marketplace flexibility.
Thus, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure Marketplace offers and available database services.
NEW QUESTION # 102
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Oracle Zero Downtime Migration organizes its Oracle database migration methods into two fundamental workflow families: Physical Migration and Logical Migration . Each family can then have online and offline variants depending on compatibility requirements and acceptable downtime.
Physical migrations operate on the physical database representation and rely on technologies such as RMAN and Oracle Data Guard. Physical Online migration can instantiate a target using Restore From Service and maintain synchronization using Data Guard, while Physical Offline uses RMAN backup and restore.
Logical migrations operate through logical database objects and data. Oracle Data Pump provides the initial export/import mechanism, while Logical Online migration integrates Oracle GoldenGate to capture and replicate ongoing transactions before cutover. Logical workflows are also suitable for many cross-version or cross-platform scenarios that physical workflows cannot support.
"Container-based migration" and "snapshot-based migration" are not ZDM's top-level migration workflow categories.
Oracle's current ZDM documentation explicitly states that ZDM supports both Physical and Logical Migration workflows.
Therefore, B and D are correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM workflow categories.
NEW QUESTION # 103
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