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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HA and DR with Oracle AI Database@Azure | 10% | - Point-in-time recovery - High availability architecture - Data Guard and Autonomous Data Guard - Availability zones and Exadata redundancy - Backup and restore - Switchover and failover - RTO and RPO considerations |
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure subscription and OCI tenancy linking - Azure Marketplace purchase and onboarding - Roles and permissions - Azure regions and OCI availability zones |
| Topic 3: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Cloning and refreshing databases - Monitoring and database management - Exadata Infrastructure and VM Clusters - Quotas and service limits - Scaling and resource management - Autonomous Database Serverless - Patching and maintenance - Container and Pluggable Databases |
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Auditing and logging - Oracle-managed and customer-managed keys - Transparent Data Encryption - Azure and OCI separation of duties - Encryption in transit - Database and infrastructure access control - Network isolation |
| Topic 6: Configure Oracle AI Database@Azure Networking | 15% | - DNS resolution and private connectivity - Default and advanced networking - Oracle.Database network attachments - Delegated subnets - ExpressRoute and site-to-site connectivity - Network security groups - VNet peering and connectivity - User-defined routes |
| Topic 7: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Data Guard and GoldenGate - Migration validation and cutover - Oracle Data Pump - Migration strategy selection - Zero Downtime Migration - RMAN-based migration |
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NEW QUESTION # 96
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: A
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 # 97
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: D
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 # 98
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: C,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 # 99
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?
Answer: D
Explanation:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.
NEW QUESTION # 100
Which service is Oracle's native, recommended tool to orchestrate and automate database-level role transitions (switchover and failover) across regions for Oracle Database@Azure?
Answer: B
Explanation:
Oracle recommends OCI Full Stack Disaster Recovery (Full Stack DR) for orchestrating disaster-recovery operations around Oracle Database@Azure deployments.
Oracle's reference architecture for local and regional Oracle Database@Azure standbys explicitly recommends Full Stack DR to orchestrate database switchover and failover operations . The service can coordinate ordered disaster-recovery plans instead of requiring administrators to manually perform every database and infrastructure transition during an incident or DR drill.
Oracle Data Guard remains the underlying database replication and role-management technology, while Full Stack DR provides the higher-level orchestration framework for executing coordinated transitions.
Azure Site Recovery is primarily designed for Azure VM and workload replication/recovery and is not Oracle's recommended database-role orchestration service. GoldenGate provides logical replication and data integration rather than end-to-end DR orchestration. Azure Traffic Manager performs DNS-based traffic distribution and can participate in application routing, but it does not execute Oracle database switchovers or failovers.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Full Stack DR orchestration and Data Guard role transitions.
NEW QUESTION # 101
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