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| Section | Weight | Objectives |
|---|---|---|
| Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
トレントの1z1-1147ガイドは、これらすべての質問を解決して1z1-1147試験に合格するのに役立ちます。 弊社ShikenPASSの1z1-1147学習資料は、暦年の試験概要と業界動向に従って、長年にわたって多くの専門家によって簡素化され、まとめられています。 したがって、1z1-1147学習教材は理解しやすく、把握しやすいです。 人生には、自分の業界を変えたい人もたくさんいます。 彼らはしばしば、業界に参入するための足がかりとして専門的な1z1-1147資格試験を受けます。 あなたがこれらの人々の1人である場合、Oracleの1z1-1147試験エンジンが最良の選択となります。
質問 # 26
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
正解:D
解説:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
質問 # 27
You have provisioned an Exadata VM Cluster on Exascale Infrastructure with 8 ECPUs per VM and a 300 GB Exascale Database Storage Vault. Your workload has grown and additional compute capacity is now required. What should you do?
正解:C
解説:
Elastic resource allocation is a fundamental design characteristic of Oracle Exadata Database Service on Exascale Infrastructure . A VM requires a minimum of 8 enabled ECPUs at initial provisioning, but its compute allocation can subsequently be increased in 4-ECPU increments .
Oracle's Exascale architecture draws compute resources from Oracle-managed shared infrastructure rather than requiring the customer to purchase or provision dedicated database servers. This permits a customer to start with a relatively small footprint and increase capacity as workload requirements develop.
The workload therefore does not need to be migrated to Dedicated Infrastructure merely because additional processing power is required. Nor is it necessary to destroy and rebuild the VM Cluster or create an entirely new Exadata Infrastructure resource. Exascale is specifically intended to avoid those fixed-capacity operational patterns.
Oracle additionally supports online scaling of Exascale storage independently through the associated Database Storage Vault, reinforcing the service's elastic consumption model.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elastic ECPU scaling.
質問 # 28
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:D
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 # 29
A mid-size retailer wants to move a moderately sized seasonal transactional workload to Oracle AI Database@Azure. They want to avoid provisioning dedicated database and storage servers, want to start with a small committed footprint and elastically scale ECPUs and storage online as holiday sales volume grows, and want the ability to create instant, space-efficient thin clones of production for their developers. As the architect, you must select the Oracle AI Database@Azure deployment option that meets all of these needs.
Choose ONE.
正解:B
解説:
Oracle Exadata Database Service on Exascale Infrastructure precisely matches the scenario. Exascale uses Oracle-managed, multitenant physical database-server infrastructure, allowing customers to provision relatively small VM Clusters rather than committing to dedicated Exadata database and storage servers.
A VM Cluster can begin at 8 ECPUs per VM and scale its compute allocation in 4-ECPU increments.
Exascale storage is also elastic and can be expanded without requiring customers to add or manage physical Exadata Storage Servers.
A distinctive Exascale feature is redirect-on-write thin cloning . Oracle documents the ability to create space-efficient PDB clones in which unchanged blocks remain shared between the parent and clone. This makes development and test copies fast to provision and economical in storage consumption.
Dedicated Infrastructure contradicts the requirement to avoid dedicated server capacity. Base Database Service does not offer the same Exascale thin-clone architecture, while Autonomous Serverless represents a different autonomous operating model.
Therefore, B is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elasticity and thin clones.
質問 # 30
An enterprise is implementing a security architecture for Oracle AI Database@Azure where database administrators must manage resources natively through the Azure Portal while authenticating seamlessly via Single Sign-On (SSO) with Microsoft Entra ID. To facilitate this, the organization plans to configure optional Identity Federation and Role-Based Access Control (RBAC) mapping between Azure and Oracle Cloud Infrastructure (OCI). The deployment team needs to coordinate the exact user personas and permissions required on both cloud platforms to configure this identity federation. To complete this task, which combination of administrative personas and cloud-specific permissions must be assigned? Choose ONE.
正解:B
解説:
Oracle's Oracle AI Database@Azure prerequisites explicitly identify the personas required for optional identity federation. On the Azure side, the required persona is an Entra ID Administrator with appropriate Microsoft Entra administrative permissions. On the OCI side, the corresponding persona is an Identity Domain Administrator .
This combination is necessary because federation spans both identity systems. Microsoft Entra ID must be configured with the OCI enterprise application, SAML authentication details, groups/users, and provisioning configuration. OCI IAM Identity Domains must then trust the Entra identity provider, establish the corresponding IdP configuration and policies, and support any required user provisioning.
Oracle's prerequisite matrix specifically lists Azure permissions including External Identity Provider Administrator, Groups Administrator, and User Administrator capabilities, with OCI Identity Domain Administrator permission on the Oracle side.
Billing Account Owner, Subscription Owner, Support Owner, and Security Zone Administrator roles serve different administrative purposes and do not jointly provide the identity-domain configuration authority required for federation.
Therefore, B exactly matches Oracle's documented administrative personas.
Study Guide reference: Secure Oracle AI Database@Azure - identity federation, Microsoft Entra ID, OCI IAM Identity Domains, SSO and RBAC.
質問 # 31
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