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| Section | Weight | Objectives |
|---|---|---|
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exascale infrastructure and services - Provision Base Database Service - Create and configure Azure delegated subnet - Provision Exadata infrastructure and clusters - Configure monitoring and observability - Provision Autonomous AI Database - Backup and restore processes |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Configure prerequisites for onboarding |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database - Understand Oracle Zero Downtime Migration (ZDM) |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
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問題 #52
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?
答案:A
問題 #53
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
答案:A
解題說明:
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
問題 #54
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?
答案:B
解題說明:
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.
問題 #55
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
答案:C,D
解題說明:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
問題 #56
Your team has configured a local standby database for an Oracle Autonomous Database@Azure deployment within the same region to protect against instance-level failures. What are the Service Level Objectives (SLOs) for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) when utilizing this local standby configuration with automatic failover?
答案:B
解題說明:
Oracle Autonomous AI Database Serverless documents a local Autonomous Data Guard standby RTO SLO of two minutes for failure events that require failover to the standby.
For the Recovery Point Objective, current Oracle documentation is slightly more precise than the wording in option A: the local standby's maximum possible data-loss objective is less than 10 seconds . Therefore, the exam option stating "RPO of 10 seconds" represents the intended and closest supported value.
These SLOs apply to events such as full database failure, complete storage failure, corruption scenarios requiring standby transition, and availability-domain failures when Autonomous Data Guard is enabled. Local standby protection provides materially faster recovery and a substantially smaller possible data-loss window than cross-region standby protection because replication remains geographically close.
An hour-long RTO is inconsistent with active standby protection, while five-minute RPO and thirty-second RPO values do not match Oracle's stated local Autonomous Data Guard objectives.
Therefore, A is correct, interpreted technically as 2-minute RTO and < 10-second RPO .
Study Guide reference: HA and DR - Autonomous Data Guard local standby SLOs.
問題 #57
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