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| Section | Weight | Objectives |
|---|---|---|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding - Explain Oracle AI Database@Azure and its architecture - Understand purchase options |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Describe supported network topologies - Explain networking concepts |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database |
| Introduction to Multicloud | 5% | - Explain multicloud and its benefits - Explain common multicloud use cases and their implementation in OCI |
| 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 - Provision Exadata infrastructure and clusters - Backup and restore processes - Provision Autonomous AI Database - Configure monitoring and observability |
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NEW QUESTION # 37
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?
Answer: D
NEW QUESTION # 38
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
Answer: B
Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
NEW QUESTION # 39
To achieve continuous availability and automated database failover using Data Guard Fast-Start Failover (FSFO) across availability zones in Oracle AI Database@Azure, where is it recommended to host the client- side Observer process?
Answer: D
NEW QUESTION # 40
You have successfully deployed a two-node Exadata VM Cluster on Oracle AI Database@Azure to provide hardware-level high availability using Oracle RAC. What client-side feature should you implement at the application layer to mask database node failures and transparently replay in-flight uncommitted transactions without throwing errors to end users?
Answer: B
Explanation:
Oracle Application Continuity (AC) is the application-availability technology designed to mask recoverable database outages and replay database requests transparently after a connection is re-established.
Oracle RAC provides database-service continuity when one database instance or node becomes unavailable, but an application may still have active sessions or in-flight work on the failed instance. Application Continuity works with Oracle's high-availability connection infrastructure, database services, FAN, Transaction Guard, and supported clients to reconnect to an available instance and replay eligible database requests. This significantly reduces the application errors that would otherwise be exposed during node failure or planned maintenance.
Fast-Start Failover and Data Guard Broker operate at the Data Guard database-role and disaster-recovery level. They manage primary/standby transitions rather than transparently replaying an individual application session after a RAC node failure. Transparent Data Encryption protects database data at rest and has no role in request replay or failure masking.
Therefore, C. Oracle Application Continuity is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - RAC application availability, FAN, Transaction Guard and Application Continuity.
NEW QUESTION # 41
Your organization has already deployed five Oracle Database@Azure delegated subnets across different virtual networks in a single Azure region. What is required if you need to provision a sixth delegated subnet in the same region?
Answer: D
Explanation:
Oracle AI Database@Azure applies a regional service limit to delegated subnet usage. The documented default is five delegated subnets per OCI tenancy in a specific region . This is a service quota rather than a limitation that can be bypassed through additional Azure routing constructs.
To exceed the default, the customer must request a service limit increase . Oracle identifies the relevant OCI service as Multicloud, the resource as Delegated Subnet Multicloud Links , and the corresponding service- limit name as azure-delegated-subnet-count. The limit is regional, so introducing another VNet, Route Server, VNet peering relationship, or Microsoft Entra tenant does not increase the permitted count.
Current documentation phrases the operation as requesting a service limit increase through Oracle's service- limit process. Among the supplied choices, option D is the only one that represents that required Oracle-side quota increase.
Architecturally, this distinction matters because routing topology and service capacity are independent control planes: networking objects determine reachability, whereas Oracle-enforced service limits determine how many delegated-subnet links may exist.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet limits and Multicloud service-limit management.
NEW QUESTION # 42
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