ITエリートになるという夢は現実の世界で叶えやすくありません。しかし、Oracleの1z0-1147認定試験に合格するという夢は、MogiExamに対して、絶対に掴められます。MogiExamは親切なサービスで、Oracleの1z0-1147問題集が質の良くて、Oracleの1z0-1147認定試験に合格する率も１００パッセントになっています。MogiExamを選ぶなら、私たちは君の認定試験に合格するのを保証します。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Oracle AI Database@Azure Networking | 15% | - ExpressRoute and site-to-site connectivity - VNet peering and connectivity - Network security groups - Oracle.Database network attachments - Delegated subnets - DNS resolution and private connectivity - User-defined routes - Default and advanced networking |
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Database and infrastructure access control - Auditing and logging - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Network isolation - Transparent Data Encryption |
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Roles and permissions - Azure Marketplace purchase and onboarding - Azure subscription and OCI tenancy linking - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Microsoft Entra ID and OCI IAM federation |
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Data Guard and GoldenGate - Zero Downtime Migration - RMAN-based migration - Oracle Data Pump - Migration validation and cutover |
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Scaling and resource management - Container and Pluggable Databases - Exadata Infrastructure and VM Clusters - Patching and maintenance - Monitoring and database management - Autonomous Database Serverless - Cloning and refreshing databases - Quotas and service limits |
| Topic 7: HA and DR with Oracle AI Database@Azure | 10% | - Point-in-time recovery - RTO and RPO considerations - High availability architecture - Switchover and failover - Data Guard and Autonomous Data Guard - Availability zones and Exadata redundancy - Backup and restore |
弊社Oracleが提供する製品は、専門家によって精巧にコンパイルされており、お客様に便利な方法で1z0-1147学習教材の学習を支援することを目的としたさまざまなバージョンを強化しています。 Oracle AI Database@Azure Architect Professional彼らは毎日アップデートをチェックしており、購入日から無料のアップデートサービスが受けられることを保証できます。 Oracle AI Database@Azure Architect Professional販売前または販売後にカスタマーサービスを提供するOracle試験問題について質問や疑問がある場合は、試験資料について質問や疑問がある場合は連絡してください。専門の担当者が解決に役立ちます。 MogiExamの1z0-1147学習資料の使用に関する問題。
質問 # 68
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?
正解：B
解説：
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.
質問 # 69
Which two key management options are available for protecting transparent data encryption (TDE) master keys on Exadata databases in Oracle AI Database@Azure? (Choose two.)
正解：B、C
解説：
Oracle AI Database@Azure supports two broad TDE master-key management approaches: Oracle-managed keys and customer-managed keys .
With the default Oracle-managed model, the TDE master encryption key is generated and stored in an Oracle Wallet within the database environment. Oracle manages key generation, storage, rotation, backup, and restoration activities associated with this model.
For customer-controlled key management, Oracle supports several external key stores. For Exadata Database Service on Dedicated Infrastructure, these include Azure Key Vault , OCI Vault, and Oracle Key Vault.
Azure Key Vault integration is particularly useful for organizations that want their database encryption-key governance aligned with existing Azure key-management, auditing, and separation-of-duties practices.
AWS KMS and Google Cloud KMS are not native key-management choices for an Oracle AI Database@Azure Exadata deployment.
Therefore, the two correct selections from this answer set are A and D .
Study Guide reference: Secure Oracle AI Database@Azure - Transparent Data Encryption, Oracle Wallet, customer-managed keys and Azure Key Vault.
質問 # 70
Which capability is uniquely supported by the flexible VM.BaseDB.x86 virtual machine shape in Oracle Base Database Service on Oracle AI Database@Azure?
正解：D
解説：
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.
質問 # 71
You have completed onboarding using the Pay As You Go offer for Oracle AI Database@Azure. You now attempt to provision Oracle Exadata Database Service on Dedicated Infrastructure and the option isn't available. What should you do?
正解：A
解説：
Oracle's current service-availability matrix states that Oracle Exadata Database Service on Dedicated Infrastructure is eligible for Private Offer only . It is not available through the Public Offer/Pay As You Go purchasing model.
Therefore, if an organization originally onboarded Oracle AI Database@Azure using the Public Offer and subsequently requires Dedicated Exadata Infrastructure, the commercial relationship must be changed by engaging Oracle Sales and obtaining the appropriate Private Offer .
A delegated-subnet service-limit increase affects networking capacity and does not enable a database service that is excluded by the selected Marketplace offer. BYOL can reduce Oracle Database licensing charges where eligible, but licensing model and Marketplace service eligibility are separate issues. Changing an Autonomous Database workload type is completely unrelated to Exadata hardware procurement.
Oracle's current service table also shows why the confusion can arise: Exadata Database Service on Exascale Infrastructure is available through both Public and Private Offers, whereas Exadata Database Service on Dedicated Infrastructure remains Private Offer only.
Therefore, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - offer eligibility and Dedicated Infrastructure purchasing.
質問 # 72
Which two statements are true about the delegated subnet used by Oracle AI Database@Azure? (Choose two.)
正解：A、B
解説：
Oracle's current network guidance defines two important delegated-subnet constraints. First, each Azure VNet can contain a maximum of one Oracle AI Database@Azure delegated subnet . Second, a single delegated subnet can support multiple VM Clusters , provided IP capacity and availability-zone constraints are satisfied.
Oracle clarifies that multiple VM Clusters from the same Exadata Infrastructure can share a delegated subnet.
VM Clusters belonging to different Exadata Infrastructure resources can also share one when those infrastructure resources reside in the same availability zone .
However, Exadata Infrastructure resources located in different availability zones cannot share the same delegated subnet. Oracle identifies such a configuration as producing a suboptimal network path and requires separate delegated networking for cross-zone deployments.
The delegated subnet also uses Azure private address space; it is not required to use-and should not be designed around-a public IPv4 CIDR range.
Therefore, A and C are correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated-subnet limits, VM Cluster placement and IP addressing.
質問 # 73
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