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Oracle 1z0-1147 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Topic 1: Configure Oracle AI Database@Azure Networking |
15% |
- Network security and connectivity
- 1. Network security groups
- 2. User-defined routes
- 3. VNet peering
- 4. ExpressRoute and site-to-site connectivity
- 5. DNS and private connectivity
- Azure and Oracle networking
- 1. Default and advanced networking
- 2. Oracle.Database network attachments
- 3. Delegated subnets
|
| Topic 2: Secure Oracle AI Database@Azure |
15% |
- Data protection
- 1. Encryption in transit
- 2. Transparent Data Encryption
- 3. Oracle-managed and customer-managed keys
- Security and access control
- 1. Separation of duties
- 2. Network isolation
- 3. Azure and OCI identity and access control
- 4. Auditing and logging
|
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding |
20% |
- Oracle AI Database@Azure architecture
- 1. Azure Marketplace purchasing and service integration
- 2. Oracle-managed infrastructure within Azure regions
- Subscription and onboarding
- 1. Roles and permissions
- 2. Microsoft Entra ID and OCI IAM federation
- 3. Azure subscription and resource provider onboarding
- 4. Linking Azure subscriptions with OCI tenancies
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources |
20% |
- Provisioning database infrastructure
- 1. Autonomous Database Serverless
- 2. Exadata Database Service on Dedicated Infrastructure
- 3. Exadata infrastructure and VM clusters
- Database operations
- 1. Database provisioning and configuration
- 2. Monitoring and metrics
- 3. Patching and maintenance
- 4. Scaling and resource management
- 5. Quotas and service limits
|
| Topic 5: Introduction to Multicloud |
5% |
- Multicloud concepts and Oracle AI Database@Azure
- 1. Multicloud architecture and use cases
- 2. Oracle AI Database@Azure service model and responsibilities
|
| Topic 6: Migrate Oracle Databases to Oracle AI Database@Azure |
15% |
- Migration technologies
- 1. Zero Downtime Migration
- 2. Oracle GoldenGate
- 3. RMAN
- 4. Data Guard
- 5. Oracle Data Pump
- Migration planning
- 1. Physical and logical migration approaches
- 2. Migration method selection
|
| Topic 7: HA and DR with Oracle AI Database@Azure |
10% |
- High availability
- 1. Exadata redundancy and availability zones
- 2. Autonomous Database high availability
- Disaster recovery and backup
- 1. Data Guard and Autonomous Data Guard
- 2. Switchover and failover
- 3. Backup and restore
- 4. Recovery point and recovery time objectives
|
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Oracle AI Database@Azure Architect Professional 認定 1z0-1147 試験問題 (Q32-Q37):
質問 # 32
Your team is migrating a processing-intensive workload to Oracle Autonomous AI Database Serverless on Oracle AI Database@Azure and needs to scale up the compute allocation during provisioning. What is the maximum number of ECPUs that can be configured for a single database instance using the slider user interface?
- A. 256 ECPUs
- B. 1024 ECPUs
- C. 128 ECPUs
- D. 512 ECPUs
正解:D
解説:
The standard Oracle Autonomous AI Database Serverless resource-allocation interface permits the administrator to configure the base compute allocation up to 512 ECPUs using the ECPU slider. This value represents the configured base ECPU count for a single database instance rather than the potential temporary compute consumption obtainable through compute auto scaling.
Oracle distinguishes configured ECPUs from auto-scaled usage. For eligible Autonomous AI Database configurations, compute auto scaling can allow the database to consume additional processing capacity above the configured base according to workload demand. For example, a database configured with 512 ECPUs may be capable of consuming substantially more effective processing capacity when auto scaling is enabled, subject to the service and licensing model.
The 1024-ECPU option therefore does not represent the normal single-instance slider ceiling addressed by this question. The 256- and 128-ECPU values are valid intermediate configurations but are below the maximum.
Consequently, A. 512 ECPUs is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless provisioning, ECPU configuration and compute scaling.
質問 # 33
An enterprise deploys its core financial application database on Oracle Base Database Service in OCI, and its risk compliance officer mandates that off-site recovery points must be stored entirely outside OCI to protect against regional cloud failure. Which multicloud use case should the cloud architect implement to meet this compliance requirement?
- A. Production and development split deployment
- B. Horizontal workload distribution
- C. Application and database split-stack architecture
- D. Cross-Cloud Backups
正解:D
解説:
The requirement is specifically to place backup recovery points outside the cloud that hosts the production database . Oracle identifies this as the Cross-Cloud Backups multicloud use case.
In a cross-cloud backup architecture, production data hosted in one cloud is backed up to a different cloud provider. Oracle describes this pattern as providing protection against failures, operational mistakes, attacks, or other incidents affecting the primary cloud. Because the secondary copy is located outside the original cloud environment, it also provides an additional isolation boundary that can satisfy organizational or regulatory requirements for off-site backups.
An application/database split-stack design solves a different problem: it places application and database tiers in different clouds to exploit provider-specific capabilities. Horizontal workload distribution spreads active workloads across providers, while production/development separation assigns lifecycle environments to different clouds. Neither inherently guarantees an independently located backup recovery point.
The scenario is therefore a direct match for Oracle's Cross-Cloud Backups pattern.
Study Guide reference: Introduction to Multicloud - Cross-Cloud Backups, resilience, data protection and provider diversification.
質問 # 34
Your development team is trying to establish a private network connection from an Azure Container Apps environment to an Exadata database on Oracle AI Database@Azure, but the connection keeps timing out.
Which feature must you enable on your database virtual network (VNet) to resolve this compatibility issue?
- A. Advanced Networking
- B. OCI FastConnect Shared Port Multiplexing
- C. Azure Network Virtual Appliance Route Bypass
- D. ExpressRoute Global Reach Gateway
正解:A
解説:
Oracle explicitly requires Advanced Networking for compatibility between Oracle AI Database@Azure and certain Azure services that use specialized private-networking behavior. Oracle's troubleshooting documentation specifically identifies Azure Container Apps and serverless services such as Azure Functions using private endpoints as examples.
Without Advanced Networking, these services may be unable to establish supported connectivity to the Oracle AI Database@Azure delegated subnet even when basic VNet routing appears correct. The feature enables the enhanced networking capabilities required for these communication patterns and is also relevant to Global VNet Peering scenarios.
Oracle notes an important provisioning condition: Advanced Networking should be enabled before Oracle AI Database@Azure resources/VNICs have been provisioned in the delegated subnet for the feature to be applied correctly to subsequent resources.
An NVA route bypass does not provide this compatibility feature. FastConnect is an OCI dedicated- connectivity technology, and ExpressRoute Global Reach addresses ExpressRoute interconnection scenarios rather than the specific Azure Container Apps compatibility requirement.
Thus, C. Advanced Networking is the documented solution.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking, delegated subnet connectivity, Azure Container Apps and serverless/private endpoint integration.
質問 # 35
Which capability is provided by a Network Anchor in Oracle AI Database@Azure?
- A. Provide DNS forwarding and listening endpoints between Azure and OCI.
- B. Serve as the customer-managed key store for TDE.
- C. Encrypt data in transit between Azure and OCI using IPsec exclusively.
- D. Automatically create Availability Domains inside Azure regions.
正解:A
解説:
A Network Anchor provides the cross-cloud network integration context used by supported Oracle AI Database@Azure services, including important DNS-resolution capabilities between Azure and OCI .
For inbound DNS resolution toward Azure, Oracle's Network Control Plane can create an OCI forwarding DNS endpoint and associated forwarding rules. For Azure-to-OCI resolution, the service can create an OCI listening DNS endpoint and expose its address through the Network Anchor so Azure DNS infrastructure or on-premises DNS servers can forward queries for Oracle database namespaces.
When both directions are configured, the architecture provides bidirectional private DNS resolution between Azure and OCI environments. Network Anchors can also participate in private-zone synchronization depending on the database service and DNS configuration.
The Network Anchor is not a cryptographic key store; TDE keys belong in Oracle Wallet, OCI Vault, Oracle Key Vault, or Azure Key Vault. Nor does the Network Anchor create Azure Availability Zones/OCI Availability Domains or mandate an IPsec-only intercloud transport mechanism.
Therefore, B is correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, DNS listening endpoints and forwarding endpoints.
質問 # 36
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
- A. Oracle Database Standard Edition on IaaS VMs
- B. Oracle Exadata Database Service on Dedicated Infrastructure
- C. Oracle NoSQL Database Cloud Service
- D. Oracle Autonomous AI Database
正解:B、D
解説:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
質問 # 37
......
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