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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database |
| Topic 2: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Autonomous AI Database - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Provision Base Database Service - Backup and restore processes - Configure monitoring and observability - Provision Exadata infrastructure and clusters |
| Topic 4: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - Explain networking concepts - Describe supported network topologies - Configure DNS |
| Topic 7: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Configure prerequisites for onboarding - Explain Oracle AI Database@Azure and its architecture |
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NEW QUESTION # 30
A mid-size retailer wants to move a moderately sized seasonal transactional workload to Oracle AI Database@Azure. They want to avoid provisioning dedicated database and storage servers, want to start with a small committed footprint and elastically scale ECPUs and storage online as holiday sales volume grows, and want the ability to create instant, space-efficient thin clones of production for their developers. As the architect, you must select the Oracle AI Database@Azure deployment option that meets all of these needs.
Choose ONE.
Answer: B
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure precisely matches the scenario. Exascale uses Oracle-managed, multitenant physical database-server infrastructure, allowing customers to provision relatively small VM Clusters rather than committing to dedicated Exadata database and storage servers.
A VM Cluster can begin at 8 ECPUs per VM and scale its compute allocation in 4-ECPU increments.
Exascale storage is also elastic and can be expanded without requiring customers to add or manage physical Exadata Storage Servers.
A distinctive Exascale feature is redirect-on-write thin cloning . Oracle documents the ability to create space-efficient PDB clones in which unchanged blocks remain shared between the parent and clone. This makes development and test copies fast to provision and economical in storage consumption.
Dedicated Infrastructure contradicts the requirement to avoid dedicated server capacity. Base Database Service does not offer the same Exascale thin-clone architecture, while Autonomous Serverless represents a different autonomous operating model.
Therefore, B is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elasticity and thin clones.
NEW QUESTION # 31
You are provisioning a new Oracle Autonomous AI Database Serverless instance in the Azure Portal and must configure the database credentials under the Configuration tab. What is the database administrator username for this instance, and how is it configured in the creation wizard?
Answer: A
Explanation:
When Oracle Autonomous AI Database Serverless is provisioned through Oracle AI Database@Azure, the administrative database account follows the standard Autonomous Database account model. The Azure creation workflow exposes the Username field as read-only and set to ADMIN .
The administrator therefore supplies the password for the predefined ADMIN account but does not choose or rename the account during database creation. Oracle currently specifies password requirements separately, including minimum and maximum length and character-composition requirements.
The account is not derived from the Microsoft Entra ID identity that deploys the Azure resource. Azure RBAC and Microsoft Entra authentication govern access to the Azure resource-management plane, whereas the ADMIN credential is a database-level account. Similarly, SYS is not presented as the configurable provisioning username for Autonomous AI Database Serverless, and the username is not generated from subscription metadata.
This separation between Azure control-plane identity and Oracle database credentials is architecturally important when designing authentication and administrative access.
Therefore, the correct answer is A .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless creation, configuration and administrator credentials.
NEW QUESTION # 32
Your organization has deployed several Exadata VM Clusters within Oracle AI Database@Azure, and a database administrator needs to create custom dashboards and adjust metric collection settings in the Azure Portal. Which built-in Azure role must be assigned to this administrator to enable both viewing metrics and modifying monitoring configurations?
Answer: A
Explanation:
The appropriate built-in Azure RBAC role is Monitoring Contributor . Microsoft defines this role for administrators who need to read monitoring information and create or modify monitoring configuration .
Monitoring Contributor includes the monitoring-read capabilities required to inspect metrics and diagnostic data and adds permissions needed to create or edit diagnostic settings, alert-related configurations, and monitoring resources. Microsoft also identifies creation of private monitoring dashboards as a supported use case for this role.
Monitoring Reader is insufficient because it is primarily a read-only monitoring role. It allows users to inspect monitoring data and settings but does not grant the required configuration-modification permissions. The general Reader role similarly lacks write capabilities. Owner would technically provide sufficient access but violates least privilege because it grants comprehensive resource-management permissions, including access- control authority far beyond monitoring.
Because the administrator's duties are specifically monitoring-oriented but require configuration changes, Monitoring Contributor supplies the correct functional scope without granting unrestricted ownership.
Study Guide reference: Secure Oracle AI Database@Azure - Azure RBAC, monitoring permissions, least privilege and operational administration
NEW QUESTION # 33
What is the subnet requirement for configuring an OCI Hub VCN to enable transit routing for Active Data Guard traffic between Oracle Database@Azure regions?
Answer: B
Explanation:
Oracle's reference architecture for multi-region Oracle Database@Azure disaster recovery explicitly states that no subnet is required in the Hub VCN to enable transit routing .
The Hub VCN serves primarily as a routing construct connecting gateways and route-table attachments.
DRGs, Local Peering Gateways, Remote Peering Connections, and VCN route tables provide the required network forwarding between the Oracle Database@Azure Child Site VCNs and remote regions. Because the hub does not need to host compute instances or network virtual appliances for this gateway-based transit model, it does not require a workload subnet.
This has an additional design benefit: the hub VCN can use a comparatively small CIDR range because there is no requirement to reserve substantial address space for servers or VNICs.
A public subnet and Internet Gateway are unnecessary because Data Guard traffic should traverse private cloud networking. Likewise, dedicated /24 transit-appliance subnets or per-availability-domain private subnets are not mandatory for the gateway-based topology.
Therefore, D is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - cross-region Data Guard, OCI Hub VCN and transit routing.
NEW QUESTION # 34
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 # 35
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