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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| Topic 2: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Base Database Service - Provision Exadata infrastructure and clusters - Provision Exascale infrastructure and services - Configure monitoring and observability - Backup and restore processes - Provision Autonomous AI Database - Create and configure Azure delegated subnet |
| Topic 3: Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Configure prerequisites for onboarding - Explain Oracle AI Database@Azure and its architecture |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata |
| Topic 7: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
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NEW QUESTION # 16
Which core Oracle Database technology is utilized under the hood to deliver localized node-level high availability in the MAA Silver tier for Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure?
Answer: A
Explanation:
Oracle Maximum Availability Architecture Silver adds Oracle Real Application Clusters (RAC) to the MAA Bronze foundation. RAC provides active-active database clustering across multiple database-server nodes while all instances access the same underlying database storage.
For Exadata Database Service on Dedicated Infrastructure, RAC supplies localized protection against database-instance and database-server failure. If one RAC instance or compute node fails, services and connections can relocate to surviving instances that are already running. RAC also materially reduces or eliminates database downtime for many planned maintenance operations.
Oracle Active Data Guard addresses a different availability layer: it maintains a physically separate standby database and is primarily used for site, availability-zone, or regional disaster recovery. Oracle GoldenGate performs logical data replication and integration, while Oracle Sharding distributes data across independent database shards for scale and fault isolation.
Oracle's current MAA documentation explicitly identifies RAC as the technology introduced at the Silver tier and recommends Exadata as the optimized RAC platform.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - MAA Silver, Oracle RAC and local high availability.
NEW QUESTION # 17
You are configuring logging for an Exadata Infrastructure resource in Oracle AI Database@Azure and attempt to save a second diagnostic setting that routes the same log categories to your primary Log Analytics workspace. What will occur when you attempt to save this configuration?
Answer: A
Explanation:
Microsoft's Oracle Exadata Database on Dedicated Infrastructure observability guidance explicitly defines a no-duplicate-destination rule for these resources: two diagnostic settings cannot send the same log categories to the same destination. Each diagnostic-setting configuration must therefore remain unique.
An Exadata resource can have multiple diagnostic settings-Microsoft documents a maximum of five per resource-but those settings are intended to provide different category/destination combinations. If an administrator attempts to create another setting with the same log categories targeting the same Log Analytics workspace, the duplicate configuration is rejected rather than automatically consolidated.
Microsoft Sentinel does not serve as a conflict-management mechanism for the diagnostic-settings configuration, and the platform does not resolve the collision by modifying Log Analytics retention. Retention is a separate workspace/data-management concern.
This rule prevents unintended duplicate ingestion and avoids unnecessary telemetry duplication and associated ingestion cost.
Therefore, A accurately describes the outcome.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata logging, Azure Monitor diagnostic settings, Log Analytics and observability constraints.
NEW QUESTION # 18
You have accepted and purchased a Private Offer for Oracle AI Database@Azure in the Azure Marketplace, and the offer status now shows as subscribed. What must you do before you can provision Exadata resources?
Answer: A
Explanation:
Purchasing and subscribing to the Oracle AI Database@Azure Private Offer establishes the Azure Marketplace commercial relationship, but it does not complete the technical onboarding process. The next mandatory stage is linking the Azure subscription to an Oracle Cloud Infrastructure tenancy . Oracle refers to this process as multicloud linking.
For a Private Offer, the customer can either create a new OCI tenancy or link an existing eligible OCI tenancy. The linked OCI account supplies the Oracle-side control-plane context used for database resources, including management of container databases and pluggable databases and delivery of Oracle infrastructure and software maintenance services. Only after the Purchase and Link stages have been completed and the account relationship is verified can normal Oracle AI Database@Azure resource provisioning proceed.
Azure Key Vault integration is optional and relates to customer-managed TDE keys. Data Guard is configured after database infrastructure exists, and an Autonomous Database is not a prerequisite for Exadata.
Therefore, D is correct. Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding
- Purchase, Link, Verify, and OCI tenancy association.
NEW QUESTION # 19
Which two are key architectural considerations that must be evaluated when designing a multicloud solution according to the Oracle Cloud Infrastructure (OCI) Multicloud Architecture Framework? (Choose two.)
Answer: A,B
Explanation:
Oracle's Multicloud Architecture Framework emphasizes architectural considerations that arise because workloads, applications, data, identities, and operational responsibilities span multiple cloud providers. Two major areas are network latency/data movement and security, identity, and operations management .
Cross-cloud network latency can directly affect application response time, database performance, replication behavior, and transaction processing. Data movement can also introduce throughput constraints and cost considerations. Oracle therefore recommends workload placement and private connectivity strategies that minimize unnecessary cross-cloud distance and traffic.
Security and operations become similarly important because each cloud provider has its own IAM, monitoring, automation, and administrative models. Oracle recommends consistent identity and access policies, unified visibility, standardized automation, and common operational practices to avoid fragmented governance or management silos.
Hardware manufacturing origin and OCI hypervisor patch schedules do not represent the principal multicloud architectural design considerations described by the framework. Hypervisor maintenance is primarily a provider operational responsibility.
Therefore, B and D align directly with Oracle's documented multicloud design pillars.
Study Guide reference: Introduction to Multicloud - latency, data movement, Cloud Security, Cloud Operations, identity integration and operational standardization.
NEW QUESTION # 20
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: C,D
Explanation:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
NEW QUESTION # 21
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