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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Roles and permissions - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding - Oracle AI Database@Azure architecture |
| Topic 2: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Quotas and service limits - Cloning and refreshing databases - Exadata Infrastructure and VM Clusters - Patching and maintenance - Container and Pluggable Databases - Scaling and resource management - Autonomous Database Serverless - Monitoring and database management |
| Topic 4: HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Backup and restore - Switchover and failover - Availability zones and Exadata redundancy - Point-in-time recovery - RTO and RPO considerations - Data Guard and Autonomous Data Guard |
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Oracle Data Pump - Zero Downtime Migration - Data Guard and GoldenGate - Migration strategy selection - RMAN-based migration - Migration validation and cutover |
| Topic 6: Secure Oracle AI Database@Azure | 15% | - Transparent Data Encryption - Database and infrastructure access control - Oracle-managed and customer-managed keys - Auditing and logging - Encryption in transit - Azure and OCI separation of duties - Network isolation |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - Network security groups - ExpressRoute and site-to-site connectivity - Delegated subnets - Default and advanced networking - User-defined routes - Oracle.Database network attachments - VNet peering and connectivity - DNS resolution and private connectivity |
>> 1z0-1147 Vorbereitungsfragen <<
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14. Frage
An enterprise already uses Microsoft Entra ID to govern employee access to hundreds of SaaS applications through group-based role assignment. The database team wants administrators to sign in to the OCI Console for Oracle AI Database@Azure using the same corporate credentials, and wants Entra ID group membership to automatically determine the corresponding OCI IAM group membership without manually creating each user in OCI. As the architect, you must choose the configuration that satisfies both the single sign-on and automated group-mapping requirements. Choose ONE.
Antwort: D
Begründung:
The appropriate architecture is Microsoft Entra ID-to-OCI SAML federation combined with group synchronization/mapping .
SAML provides the authentication component. Administrators authenticate using corporate Microsoft Entra ID identities and obtain federated access to the associated OCI Identity Domain. Oracle's onboarding procedure creates the SAML trust by exchanging metadata between Microsoft Entra ID and OCI.
The provisioning side then maps assigned users and groups from the Microsoft Entra enterprise application into OCI through the configured identity integration. This allows corporate group membership to drive the user's Oracle-side authorization model instead of requiring administrators to create and maintain separate OCI identities individually.
Azure RBAC governs Azure resources but does not by itself create the required OCI IAM group relationships for OCI Console administration. Azure Key Vault controls cryptographic keys and secrets rather than identity federation, while manually creating OCI users directly contradicts the automated identity-lifecycle requirement.
Therefore, A provides both SSO and centralized enterprise identity/group management.
Study Guide reference: Secure Oracle AI Database@Azure - SAML federation, user/group synchronization and OCI IAM.
15. Frage
You are configuring a cross-region disaster recovery topology for an Exadata Database Service deployment on Oracle Database@Azure and need to connect the primary database VCN to the standby database VCN.
What OCI network resource limitation necessitates the creation of a second VCN acting as a Hub VCN to establish this regional peering link?
Antwort: C
Begründung:
Oracle's cross-region Oracle Database@Azure reference architecture requires an additional Hub VCN because each OCI VCN can be attached to only one Dynamic Routing Gateway (DRG) at a time.
The Oracle-managed database VCN associated with an Exadata VM Cluster already uses a DRG as part of the Oracle Database@Azure network architecture. Cross-region VCN peering also requires DRG-based remote peering. Because a second DRG cannot simply be attached to the existing database VCN, Oracle introduces a separate Hub VCN with its own DRG. The database VCN is locally connected to the Hub VCN, and the Hub DRGs establish the cross-region remote peering connection.
OCI documentation independently confirms that one VCN can attach to only one DRG, whereas a single DRG can support many VCN attachments. A VCN can also have multiple Local Peering Gateways, so option B is technically incorrect.
The limitation is therefore architectural rather than a restriction caused by Azure subnet delegation or tenancy boundaries.
Study Guide reference: HA and DR - OCI transit networking, Hub VCN, DRG, LPG and cross-region Data Guard.
16. Frage
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Antwort: C,D
Begründung:
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.
17. Frage
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
Antwort: A
Begründung:
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
18. Frage
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?
Antwort: B
Begründung:
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.
19. Frage
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