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| Section | Weight | Objectives |
|---|---|---|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Secure Oracle AI Database@Azure | 15% | - Security and access control
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
ShikenPASSのOracleの1z1-1147試験トレーニング資料は君の成功に導く鍵で、君のIT業種での発展にも助けられます。長年の努力を通じて、ShikenPASSのOracleの1z1-1147認定試験の合格率が１００パーセントになっていました。もしうちの学習教材を購入した後、認定試験に不合格になる場合は、全額返金することを保証いたします。
質問 # 43
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：A、B
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 # 44
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?
正解：C
解説：
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.
質問 # 45
Which two are valid managed backup destinations for automatic backups of an Exadata Database in Oracle AI Database@Azure? (Choose two.)
正解：C、D
解説：
The two managed backup destinations represented in the question are OCI Object Storage and Oracle Database Autonomous Recovery Service .
OCI Object Storage is the established managed backup destination for Oracle Database services and stores Oracle-managed database backup objects in OCI. Autonomous Recovery Service is Oracle's recommended advanced database-protection platform. It provides database-aware incremental-forever backup processing, centralized protection policies, recoverability validation, retention locking, and optional real-time transaction protection.
For Oracle Database@Azure, Recovery Service can store protected-database backups either in the paired OCI region or, where supported and selected by policy, within the same Azure cloud provider location. Oracle architecture documentation therefore increasingly positions Autonomous Recovery Service as the preferred automatic-backup destination.
The physical Zero Data Loss Recovery Appliance is an on-premises engineered system rather than the managed cloud backup destination in this service. Direct Azure Blob Storage API access is likewise not presented as the standard built-in automatic Exadata backup destination; Azure-hosted Recovery Service storage is accessed through the managed Recovery Service architecture rather than direct customer Blob APIs.
Therefore, C and D are correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata backup destinations and Autonomous Recovery Service.
質問 # 46
Which Microsoft Azure native service is used to provide the NFS file share for storing Oracle Data Pump dump files during a ZDM Logical Online or Logical Offline migration to Exadata on Oracle Database@Azure?
正解：C
解説：
Oracle's documented ZDM logical migration architecture for Oracle Database@Azure uses Azure Files to provide the NFS share used for Oracle Data Pump dump-file staging.
During a logical offline migration, Data Pump exports the source data to dump files placed on the NFS share, and the target database reads those files during import. For a logical online migration, the initial load similarly uses Data Pump, while Oracle GoldenGate captures and applies ongoing changes so that source and target remain synchronized until cutover.
The NFS share must be accessible from the participating database environments. Oracle's migration walkthrough uses an Azure Files NFSv4.1 mount and creates a database directory such as DATA_PUMP_DIR_NFS that points to the mounted path.
Azure Disk Storage is block storage rather than a cross-host NFS file share, while Azure Blob Storage exposes an object-storage interface rather than the mounted filesystem expected by standard Data Pump staging. Other NFS technologies can be used in broader ZDM architectures, but the documented Oracle Database@Azure workflow identified in this question uses Azure Files .
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM logical migration, Data Pump, NFS staging and Azure Files.
質問 # 47
Which two statements are true about the delegated subnet used by Oracle AI Database@Azure? (Choose two.)
正解：A、D
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 # 48
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