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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Base Database Service - Provision Exascale infrastructure and services - Create and configure Azure delegated subnet - Configure monitoring and observability - Provision Autonomous AI Database - Provision Exadata infrastructure and clusters - Backup and restore processes |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding |
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
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NEW QUESTION # 74
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?
Answer: D
Explanation:
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.
NEW QUESTION # 75
Which two resources can be dynamically associated with an Oracle AI Database@Azure delegated subnet in Azure to manage traffic routing and filtering? (Choose two.)
Answer: B,D
Explanation:
An Oracle AI Database@Azure delegated subnet remains part of the customer's Azure VNet and can use supported Azure networking controls. Two fundamental controls are Network Security Groups (NSGs) and Azure route tables containing User-Defined Routes .
An NSG performs traffic filtering by applying inbound and outbound security rules based on criteria such as source, destination, protocol, and port. This allows organizations to enforce database-access policies at the Azure network layer. Route tables provide forwarding control, allowing traffic to be directed through Azure Firewall, an NVA, a virtual network gateway, or other supported next-hop architecture.
Oracle's delegated-subnet design documentation explicitly states that because the delegated subnet belongs to the customer's VNet, it can leverage Azure networking capabilities including NSGs and routing tables . This enables private application-to-database communication while retaining enterprise routing and security controls.
Azure Load Balancer backend pools and Application Gateway ingress controllers are application/load- balancing constructs and are not the two subnet-associated controls identified for this Oracle database networking requirement.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet design, NSGs, Azure route tables, UDRs and traffic controls.
NEW QUESTION # 76
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: C
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 # 77
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?
Answer: B
Explanation:
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.
NEW QUESTION # 78
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: D
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 # 79
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