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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 2: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Data protection
|
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NEW QUESTION # 26
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: D
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 # 27
Which two statements are true about identity federation for Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Identity federation is optional in Oracle AI Database@Azure. Oracle states that most normal database operations can be performed through the Azure environment without federation. Federation becomes particularly useful when administrators must enter the OCI Console for Oracle-specific database management tasks and want to authenticate using their corporate Microsoft Entra ID credentials.
The uploaded study material also identifies the user-record requirement of a last name and valid email address. Oracle's current federation documentation provides a slightly more detailed rule: provisioning users into OCI requires First Name, Last Name and Display Name , plus Email Address when the OCI Identity Domain is configured to require email addresses . Legacy Oracle Database@Azure federation documentation states the last-name/valid-email requirement directly.
Federation does not replace the OCI tenancy. Oracle AI Database@Azure always requires an OCI tenancy- either an existing tenancy linked through a Private Offer or a new tenancy created during onboarding.
Therefore, A and B are the intended answers.
Study Guide reference: Secure Oracle AI Database@Azure - optional identity federation and user provisioning requirements.
NEW QUESTION # 28
You are planning to migrate an on-premises Oracle Database to an Autonomous Database Serverless target on Oracle Database@Azure. Which migration workflow families are supported by Zero Downtime Migration (ZDM) to accomplish this task?
Answer: C
Explanation:
For an Autonomous AI Database Serverless target, Oracle Zero Downtime Migration supports Logical Online and Logical Offline migration workflows.
Logical migration is necessary because Autonomous AI Database Serverless abstracts the underlying physical database infrastructure and does not expose the file-system and database-host control required for a conventional physical RMAN/Data Guard migration. ZDM therefore operates through logical database migration technologies.
Logical Offline uses Oracle Data Pump export and import to instantiate the target. Logical Online adds Oracle GoldenGate to the workflow so changes occurring on the source after the initial data load are captured and applied to the target until final cutover, greatly reducing application downtime.
Oracle's Oracle Database@Azure migration documentation explicitly lists these two workflows for migration to Autonomous Database Serverless. Physical Online and Physical Offline workflows apply to supported customer-managed Oracle database targets, such as Exadata Database Service, rather than Autonomous Serverless.
Therefore, A is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - Autonomous AI Database Serverless migration workflow support.
NEW QUESTION # 29
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
Answer: C
Explanation:
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
NEW QUESTION # 30
You have completed the purchase of an Oracle AI Database@Azure Private Offer through the Microsoft Azure Marketplace. What is the next required architectural step in the onboarding workflow before you can create your Exadata infrastructure?
Answer: C
Explanation:
Purchasing the Azure Marketplace offer establishes the commercial entitlement, but it does not by itself establish the technical relationship between the customer's Azure environment and OCI tenancy. Oracle's onboarding sequence requires multicloud linking after purchase.
During this step, the selected Azure subscription is linked with an Oracle Cloud Infrastructure tenancy. That association enables the service to establish the required cross-cloud resource, subscription, governance, and management relationships. Oracle's current overview explicitly states that after the purchase is complete, the Azure subscription is linked with an OCI tenancy; this process is called multicloud linking.
Only after onboarding and linking are completed does the administrator move into resource provisioning. At that stage, the environment can be prepared with the VNet, delegated subnet, Exadata infrastructure, VM Cluster, Autonomous AI Database, or applicable anchor constructs. Therefore, creating networking components before completing the required subscription/tenancy association reverses the documented onboarding sequence.
DNS-specific configuration is also part of networking rather than the immediate post-purchase account- linking requirement.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Marketplace purchase, multicloud linking, Azure subscription-to-OCI tenancy association and provisioning prerequisites.
NEW QUESTION # 31
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