ご存じのとおり、競争の激しい世界では、国際的な1z0-1147認定、実務経験、学歴など、ソフトウェアの能力を向上させる以外に選択肢はありません。したがって、履歴書を強調するために1z0-1147証明書を手に入れることは非常に重要であり、職場で成功を収めるのに役立ちます。 1z0-1147準備資料を使用すると、最も効率的かつ生産的な方法で試験に簡単に合格し、献身と熱意を持って勉強する方法を学ぶことができます。 Oracleの1z0-1147問題集には多くの利点があります。
| Section | Weight | Objectives |
|---|---|---|
| Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Oracle-managed and customer-managed keys - Network isolation - Database and infrastructure access control - Auditing and logging - Azure and OCI separation of duties - Transparent Data Encryption |
| HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Data Guard and Autonomous Data Guard - Point-in-time recovery - Availability zones and Exadata redundancy - Backup and restore - Switchover and failover - RTO and RPO considerations |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure Marketplace purchase and onboarding - Azure regions and OCI availability zones - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Roles and permissions - Oracle AI Database@Azure architecture |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Scaling and resource management - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Cloning and refreshing databases - Patching and maintenance - Container and Pluggable Databases - Quotas and service limits - Monitoring and database management |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration validation and cutover - Data Guard and GoldenGate - Oracle Data Pump - RMAN-based migration - Zero Downtime Migration - Migration strategy selection |
| Configure Oracle AI Database@Azure Networking | 15% | - User-defined routes - Oracle.Database network attachments - ExpressRoute and site-to-site connectivity - VNet peering and connectivity - Network security groups - DNS resolution and private connectivity - Delegated subnets - Default and advanced networking |
我々It-Passportsでは、あなたは一番優秀なOracle 1z0-1147問題集を発見できます。我が社のサービスもいいです。購入した前、弊社はあなたが準備したい1z0-1147試験問題集のサンプルを無料に提供します。購入した後、一年間の無料サービス更新を提供します。Oracle 1z0-1147問題集に合格しないなら、180日内で全額返金します。あるいは、他の科目の試験を変えていいです。
質問 # 36
You are provisioning a new Oracle Autonomous AI Database Serverless instance in the Azure Portal and must configure the database credentials under the Configuration tab. What is the database administrator username for this instance, and how is it configured in the creation wizard?
正解：D
解説：
When Oracle Autonomous AI Database Serverless is provisioned through Oracle AI Database@Azure, the administrative database account follows the standard Autonomous Database account model. The Azure creation workflow exposes the Username field as read-only and set to ADMIN .
The administrator therefore supplies the password for the predefined ADMIN account but does not choose or rename the account during database creation. Oracle currently specifies password requirements separately, including minimum and maximum length and character-composition requirements.
The account is not derived from the Microsoft Entra ID identity that deploys the Azure resource. Azure RBAC and Microsoft Entra authentication govern access to the Azure resource-management plane, whereas the ADMIN credential is a database-level account. Similarly, SYS is not presented as the configurable provisioning username for Autonomous AI Database Serverless, and the username is not generated from subscription metadata.
This separation between Azure control-plane identity and Oracle database credentials is architecturally important when designing authentication and administrative access.
Therefore, the correct answer is A .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless creation, configuration and administrator credentials.
質問 # 37
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：B
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 # 38
Which of the following is NOT one of the documented supported network topologies for Oracle AI Database@Azure?
正解：A
解説：
Azure Front Door single-endpoint routing is not a documented Oracle AI Database@Azure database connectivity topology.
Azure Front Door is primarily a global Layer-7 HTTP/HTTPS application-delivery, acceleration, and load- balancing service. It is designed for web applications and public-facing application endpoints rather than private SQL*Net/database connectivity into an Oracle AI Database@Azure delegated subnet.
Oracle's documented networking patterns instead center on Azure VNets and private routing. These include local/same-region VNet connectivity, VNet peering, Hub-and-Spoke VNet peering, cross-region connectivity, and hybrid on-premises Hub-and-Spoke architectures. Oracle also documents enterprise connectivity patterns involving Azure Virtual WAN.
Hub-and-Spoke is particularly important where centralized firewalls or NVAs must inspect database-bound traffic, while local VNet/VNet peering is useful for direct application-to-database private communication where minimizing network latency is the priority.
Because Azure Front Door does not provide the required private database networking architecture and is absent from Oracle's supported topology set, C is the correct answer.
Study Guide reference: Configure Oracle AI Database@Azure Networking - supported VNet, peering, Hub-and-Spoke and enterprise connectivity topologies.
質問 # 39
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
正解：A、D、F
解説：
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
質問 # 40
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：A
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 # 41
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