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| Section | Weight | Objectives |
|---|---|---|
| Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - Network security groups - ExpressRoute and site-to-site connectivity - Default and advanced networking - DNS resolution and private connectivity - VNet peering and connectivity - Delegated subnets - Oracle.Database network attachments |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Zero Downtime Migration - RMAN-based migration - Migration validation and cutover - Oracle Data Pump - Data Guard and GoldenGate |
| Secure Oracle AI Database@Azure | 15% | - Transparent Data Encryption - Oracle-managed and customer-managed keys - Encryption in transit - Auditing and logging - Network isolation - Database and infrastructure access control - Azure and OCI separation of duties |
| HA and DR with Oracle AI Database@Azure | 10% | - Point-in-time recovery - Backup and restore - High availability architecture - RTO and RPO considerations - Switchover and failover - Availability zones and Exadata redundancy - Data Guard and Autonomous Data Guard |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure Marketplace purchase and onboarding - Microsoft Entra ID and OCI IAM federation - Roles and permissions - Azure subscription and OCI tenancy linking - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Container and Pluggable Databases - Quotas and service limits - Scaling and resource management - Cloning and refreshing databases - Patching and maintenance - Monitoring and database management |
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NEW QUESTION # 94
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: C
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 # 95
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: B
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 # 96
What is the minimum storage capacity that must be allocated when creating a new Exadata Database Storage Vault for Exascale Infrastructure in Oracle AI Database@Azure?
Answer: C
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure separates database storage into Exascale Database Storage Vaults . Oracle documents the minimum billed Database Storage Vault capacity as 300 GB per VM Cluster .
The minimum is composed of storage required for system use and the first database. Oracle's current Exascale capacity table allocates 50 GB for system-related usage, including images stored in ACFS, and 250 GB for database use when provisioning the first database. Together, these produce the 300 GB minimum vault capacity.
This value must not be confused with VM file-system storage. Current Exascale guidance specifies a separate minimum VM file-system capacity that varies by database version-for example, 220 GB for a 26ai VM configuration. That explains why 220 GB appears plausible but is incorrect for the Database Storage Vault asked about here.
The vault can subsequently be scaled substantially beyond the minimum; Oracle documents VM Cluster Exascale Vault storage scaling up to 100 TB.
Therefore, the correct answer is D. 300 GB .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, Database Storage Vault sizing and capacity.
NEW QUESTION # 97
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: B
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 # 98
In the Oracle AI Database@Azure architecture, which resource provides the OCI infrastructure components with network connectivity into a customer's Azure Virtual Network?
Answer: A
Explanation:
The delegated subnet is the Azure networking construct that enables Oracle-managed database resources to connect directly into the customer's Azure Virtual Network.
During Oracle AI Database@Azure provisioning, a subnet in the customer's VNet is delegated to the Oracle database resource provider. This delegation permits Oracle-managed networking components and database VNICs to participate in the Azure network while preserving the managed-service boundary between customer- owned Azure networking and Oracle-operated database infrastructure.
Applications can then connect privately and with low latency to the Oracle database through addresses associated with that delegated subnet. The customer can also apply supported Azure routing and security constructs around the VNet design.
A Local Peering Gateway connects OCI VCNs within an OCI region. A Dynamic Routing Gateway provides OCI routing between VCNs, on-premises environments, or remote networks. A Service Gateway provides private connectivity from an OCI VCN to supported Oracle services. None of these is the Azure-side resource that places Oracle database networking into the customer's VNet.
Thus, C. Delegated subnet is correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet architecture and Azure VNet connectivity.
NEW QUESTION # 99
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