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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 2: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) |
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding - Understand purchase options - Explain Oracle AI Database@Azure and its architecture |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Create and configure Azure delegated subnet - Provision Autonomous AI Database - Configure monitoring and observability - Provision Base Database Service - Backup and restore processes - Provision Exascale infrastructure and services |
| Topic 5: Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Topic 6: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 7: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
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NEW QUESTION # 85
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
Answer: C
Explanation:
Oracle owns and operates the underlying Exadata infrastructure layer used by Oracle AI Database@Azure, even though that infrastructure is physically located in Microsoft Azure data centers.
Consequently, Oracle performs infrastructure-level maintenance, patching, security updates, monitoring, and lifecycle operations.
Oracle-managed Exadata infrastructure components include the physical database-server hosts, storage servers, network fabric, hypervisor or virtualization infrastructure, firmware, management components, and control-plane systems. Microsoft supplies the Azure data-center environment and associated Azure platform capabilities, but Microsoft support engineers do not maintain Oracle's Exadata hardware/software stack.
The customer retains responsibility for customer-controlled portions of co-managed database environments, including database configuration and, depending on service and maintenance model, guest VM, Grid Infrastructure, database homes, and database software lifecycle activities. Oracle has also introduced optional Oracle-managed database software update capabilities for applicable newer Exadata services, but that does not change responsibility for the underlying infrastructure.
Therefore, C correctly identifies Oracle's Cloud Infrastructure operations organization.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - shared operational responsibility and Exadata infrastructure maintenance.
NEW QUESTION # 86
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
Answer: B
Explanation:
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
NEW QUESTION # 87
You have configured automatic backups for an Exadata Database using Object Storage with a 30-day retention period. A new compliance requirement now mandates that full backups be retained for up to 10 years with immutability. What should you do?
Answer: D
Explanation:
Oracle Database Autonomous Recovery Service provides the specific capabilities required for multi-year database backup retention combined with immutability .
Oracle's Long-Term Retention capability allows a full database backup to be retained for up to ten years .
This addresses regulatory requirements that exceed ordinary operational backup-retention windows. Recovery Service additionally supports Retention Lock , which prevents protected backups from being modified or deleted before the configured retention period expires. This provides a database-aware immutability mechanism suitable for ransomware, malicious-administrator, and compliance-protection scenarios.
Merely increasing a standard Object Storage backup retention value does not provide the same Recovery Service lifecycle, recoverability validation, protection-policy model, or database-specific retention locking.
NFS likewise does not introduce a managed ten-year immutable recovery framework. Manual on-demand backups also fail to provide policy-enforced retention and introduce unnecessary operational risk.
The combination of Recovery Service, LTR, and Retention Lock directly addresses both requirements in the question: ten-year retention and immutability .
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, Long- Term Retention and Retention Lock.
NEW QUESTION # 88
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.
Answer: A
Explanation:
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.
NEW QUESTION # 89
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: B
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 # 90
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