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| Section | Weight | Objectives |
|---|---|---|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Oracle Data Pump - Data Guard and GoldenGate - Zero Downtime Migration - RMAN-based migration - Migration validation and cutover |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Patching and maintenance - Container and Pluggable Databases - Scaling and resource management - Exadata Infrastructure and VM Clusters - Quotas and service limits - Autonomous Database Serverless - Monitoring and database management - Cloning and refreshing databases |
| Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - Default and advanced networking - Delegated subnets - VNet peering and connectivity - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - Network security groups |
| Secure Oracle AI Database@Azure | 15% | - Network isolation - Database and infrastructure access control - Auditing and logging - Oracle-managed and customer-managed keys - Encryption in transit - Transparent Data Encryption - Azure and OCI separation of duties |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| HA and DR with Oracle AI Database@Azure | 10% | - Availability zones and Exadata redundancy - Backup and restore - High availability architecture - RTO and RPO considerations - Data Guard and Autonomous Data Guard - Switchover and failover - Point-in-time recovery |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure Marketplace purchase and onboarding - Microsoft Entra ID and OCI IAM federation - Azure regions and OCI availability zones - Roles and permissions - Azure subscription and OCI tenancy linking - Oracle AI Database@Azure architecture |
IT領域での主要な問題が質と実用性が欠くということを我々ははっきり知っています。JpshikenのOracleの1z0-1147の試験問題と解答はあなたが必要とした一切の試験トレーニング資料を準備して差し上げます。実際の試験のシナリオと一致で、选択問題（多肢選択問題）はあなたが試験を受かるために有効な助けになれます。JpshikenのOracleの1z0-1147「Oracle AI Database@Azure Architect Professional」の試験トレーニング資料は検証した試験資料で、Jpshikenの専門的な実践経験に含まれています。
質問 # 36
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?
正解：D
解説：
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.
質問 # 37
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
正解：A、B
解説：
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.
質問 # 38
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
正解：A、D
解説：
Oracle documents multiple Azure network patterns for application connectivity to Oracle AI Database@Azure, including VNet peering and Hub-and-Spoke VNet peering .
VNet peering enables application workloads in one Azure VNet to communicate privately with Oracle database resources exposed through a delegated subnet in another VNet. This is appropriate when relatively direct, low-latency communication is required.
A Hub-and-Spoke design introduces a central hub containing shared connectivity and security services, such as Azure Firewall, a Network Virtual Appliance, ExpressRoute gateway, or VPN gateway. Application and database VNets connect as spokes or workload/data networks, allowing centralized inspection and hybrid connectivity.
Oracle's documented topology set also includes local VNet, global connectivity, on-premises Hub-and-Spoke, and related enterprise designs. A point-to-site VPN client model is not identified as the standard application topology requested here. More fundamentally, an Oracle AI Database@Azure deployment cannot exist without an Azure VNet and delegated networking.
Therefore, the correct selections are B and C .
Study Guide reference: Configure Oracle AI Database@Azure Networking - VNet Peering and Hub- and-Spoke topologies.
質問 # 39
Which two Microsoft Azure resource providers must be registered in your Azure subscription as prerequisites to both onboard with and provision resources in Oracle AI Database@Azure? (Choose two.)
正解：A、B
解説：
Oracle AI Database@Azure depends on Azure Resource Manager provider namespaces that expose the Oracle service and its underlying infrastructure integration. Among the listed choices, the required providers are Microsoft.BareMetal and Oracle.Database .
Oracle.Database is the Azure resource-provider namespace through which Oracle database multicloud resources are represented and managed in Azure. This includes Oracle AI Database@Azure database-resource lifecycle operations and integration with delegated networking. Microsoft.BareMetal supports the Azure-side integration with specialized Oracle infrastructure physically deployed within Azure facilities.
Current Microsoft onboarding documentation also lists Microsoft.Network and Microsoft.Compute among resource providers required for a fully provisionable subscription. However, those names are not offered as valid alternatives in this question. Microsoft.VirtualMachine is not the correct provider namespace-standard Azure compute uses Microsoft.Compute. Likewise, Oracle.Exadata is not the service namespace; Oracle AI Database@Azure resources are represented under Oracle.Database.
Therefore, among the supplied answer set, B and D are correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure subscription prerequisites, resource-provider registration and Oracle.Database integration.
質問 # 40
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
正解：C
解説：
Oracle Autonomous AI Database Serverless allows administrators to configure the automatic backup- retention window according to business recovery and compliance requirements. Oracle's current Autonomous AI Database provisioning documentation specifies an allowable automatic backup-retention range of 1 through 60 days .
Within that period, the database can be restored and recovered to an appropriate point in time, subject to the normal Autonomous AI Database backup and recovery mechanisms. A longer retention window provides a broader point-in-time recovery horizon but must also be considered alongside governance, compliance, and backup-protection requirements.
Oracle also supports Backup Retention Lock , which materially changes administrative behavior. When the retention period is locked, administrators cannot simply disable the lock or alter the protected retention setting through ordinary provisioning controls; Oracle Support intervention is required for those changes. This distinction is important for regulated workloads where backup immutability or protection from malicious administrative actions is required.
The alternatives beginning at seven days incorrectly raise the minimum, while the 30-day options incorrectly reduce the supported maximum. The complete configurable range is therefore 1-60 days .
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database automatic backups, point-in-time recovery, backup-retention configuration and retention lock.
質問 # 41
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