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| Section | Weight | Objectives |
|---|---|---|
| HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
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NEW QUESTION # 97
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: A
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 # 98
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
Answer: A
Explanation:
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
NEW QUESTION # 99
You are configuring a Network Anchor in the Azure Portal and want to enable the "Replicate DNS Private zones during DB creation" option to automatically copy private zones from OCI to Azure. Which database service must be associated with the Network Anchor to make this specific DNS option available?
Answer: A
Explanation:
The Network Anchor abstraction establishes the mapping between Azure networking resources and corresponding OCI networking constructs. It is particularly important for services that use the newer multicloud anchor model, allowing an Azure VNet and delegated subnet to be associated consistently with Oracle-managed resources.
Oracle's DNS documentation explicitly restricts the Network Anchor DNS-resolution capability in question to Oracle Base Database Service . Network Anchors can provide DNS integration between Azure and OCI, including inbound and outbound resolution paths. Depending on the configuration, DNS listening and forwarding functionality can be enabled so resources on either side of the multicloud boundary can resolve the required private names.
The question's "Replicate DNS Private zones during DB creation" behavior belongs to this Base Database Service Network Anchor DNS workflow. Exadata Database Service on Dedicated Infrastructure and Exadata Database Service on Exascale Infrastructure use their documented Exadata networking and DNS provisioning mechanisms. Autonomous AI Database likewise has its own networking lifecycle and is not the service to which this Network Anchor-specific private-zone replication setting applies.
Therefore, the database service required to expose the specified option is Oracle Base Database Service .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, private DNS, inbound/outbound DNS resolution, Base Database Service networking.
NEW QUESTION # 100
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 # 101
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: B
NEW QUESTION # 102
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