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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Patching and maintenance - Autonomous Database Serverless - Container and Pluggable Databases - Monitoring and database management - Quotas and service limits - Cloning and refreshing databases - Scaling and resource management - Exadata Infrastructure and VM Clusters |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration validation and cutover - Zero Downtime Migration - Migration strategy selection - Oracle Data Pump - RMAN-based migration - Data Guard and GoldenGate |
| Configure Oracle AI Database@Azure Networking | 15% | - Network security groups - VNet peering and connectivity - ExpressRoute and site-to-site connectivity - Delegated subnets - Oracle.Database network attachments - Default and advanced networking - User-defined routes - DNS resolution and private connectivity |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure regions and OCI availability zones - Roles and permissions - Azure Marketplace purchase and onboarding - Azure subscription and OCI tenancy linking - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture |
| HA and DR with Oracle AI Database@Azure | 10% | - Availability zones and Exadata redundancy - Switchover and failover - RTO and RPO considerations - Point-in-time recovery - Data Guard and Autonomous Data Guard - Backup and restore - High availability architecture |
| Secure Oracle AI Database@Azure | 15% | - Network isolation - Oracle-managed and customer-managed keys - Database and infrastructure access control - Azure and OCI separation of duties - Auditing and logging - Transparent Data Encryption - Encryption in transit |
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NEW QUESTION # 63
An enterprise is implementing a security architecture for Oracle AI Database@Azure where database administrators must manage resources natively through the Azure Portal while authenticating seamlessly via Single Sign-On (SSO) with Microsoft Entra ID. To facilitate this, the organization plans to configure optional Identity Federation and Role-Based Access Control (RBAC) mapping between Azure and Oracle Cloud Infrastructure (OCI). The deployment team needs to coordinate the exact user personas and permissions required on both cloud platforms to configure this identity federation. To complete this task, which combination of administrative personas and cloud-specific permissions must be assigned? Choose ONE.
Answer: D
Explanation:
Oracle's Oracle AI Database@Azure prerequisites explicitly identify the personas required for optional identity federation. On the Azure side, the required persona is an Entra ID Administrator with appropriate Microsoft Entra administrative permissions. On the OCI side, the corresponding persona is an Identity Domain Administrator .
This combination is necessary because federation spans both identity systems. Microsoft Entra ID must be configured with the OCI enterprise application, SAML authentication details, groups/users, and provisioning configuration. OCI IAM Identity Domains must then trust the Entra identity provider, establish the corresponding IdP configuration and policies, and support any required user provisioning.
Oracle's prerequisite matrix specifically lists Azure permissions including External Identity Provider Administrator, Groups Administrator, and User Administrator capabilities, with OCI Identity Domain Administrator permission on the Oracle side.
Billing Account Owner, Subscription Owner, Support Owner, and Security Zone Administrator roles serve different administrative purposes and do not jointly provide the identity-domain configuration authority required for federation.
Therefore, B exactly matches Oracle's documented administrative personas.
Study Guide reference: Secure Oracle AI Database@Azure - identity federation, Microsoft Entra ID, OCI IAM Identity Domains, SSO and RBAC.
NEW QUESTION # 64
Your team is preparing to migrate an on-premises database to Autonomous Database Serverless on Oracle Database@Azure using ZDM and wants to ensure that the Data Pump dump files are staged entirely within the Microsoft Azure subscription. Which storage option should you configure in the ZDM response file as the data transfer medium to meet this requirement?
Answer: C
Explanation:
The correct staging medium is an Azure Files NFS share . Oracle's ZDM documentation for Autonomous AI Database Serverless on Oracle Database@Azure explicitly supports Azure Files as an NFS file-share source for Data Pump migration staging.
In the logical migration workflow, the NFS share is made accessible to the source database and attached to the Autonomous AI Database target. Data Pump export files can therefore be written to and read from the shared location without being staged in OCI storage. Oracle specifically documents mounting Azure Files NFSv4.x and exposing the path through a database directory for Data Pump operations.
OCI Object Storage and OCI File Storage would place the staging data within OCI, violating the explicit requirement that dump files remain in the Microsoft Azure subscription. Azure Blob Storage can be accessed by Autonomous Database through DBMS_CLOUD for supported object-storage workflows, but the standard ZDM NFS-based Data Pump staging mechanism described in this question uses a mounted filesystem rather than a direct Blob REST API.
Therefore, C is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM, Autonomous AI Database Serverless, Data Pump and Azure Files NFS.
NEW QUESTION # 65
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Answer: A,C
NEW QUESTION # 66
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 # 67
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 # 68
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