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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 2: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 3: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 6: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
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NEW QUESTION # 19
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: B
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 # 20
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: C
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 # 21
Which two key management options are available for protecting transparent data encryption (TDE) master keys on Exadata databases in Oracle AI Database@Azure? (Choose two.)
Answer: C,D
Explanation:
Oracle AI Database@Azure supports two broad TDE master-key management approaches: Oracle-managed keys and customer-managed keys .
With the default Oracle-managed model, the TDE master encryption key is generated and stored in an Oracle Wallet within the database environment. Oracle manages key generation, storage, rotation, backup, and restoration activities associated with this model.
For customer-controlled key management, Oracle supports several external key stores. For Exadata Database Service on Dedicated Infrastructure, these include Azure Key Vault , OCI Vault, and Oracle Key Vault.
Azure Key Vault integration is particularly useful for organizations that want their database encryption-key governance aligned with existing Azure key-management, auditing, and separation-of-duties practices.
AWS KMS and Google Cloud KMS are not native key-management choices for an Oracle AI Database@Azure Exadata deployment.
Therefore, the two correct selections from this answer set are A and D .
Study Guide reference: Secure Oracle AI Database@Azure - Transparent Data Encryption, Oracle Wallet, customer-managed keys and Azure Key Vault.
NEW QUESTION # 22
Which two are valid managed backup destinations for automatic backups of an Exadata Database in Oracle AI Database@Azure? (Choose two.)
Answer: B,D
Explanation:
The two managed backup destinations represented in the question are OCI Object Storage and Oracle Database Autonomous Recovery Service .
OCI Object Storage is the established managed backup destination for Oracle Database services and stores Oracle-managed database backup objects in OCI. Autonomous Recovery Service is Oracle's recommended advanced database-protection platform. It provides database-aware incremental-forever backup processing, centralized protection policies, recoverability validation, retention locking, and optional real-time transaction protection.
For Oracle Database@Azure, Recovery Service can store protected-database backups either in the paired OCI region or, where supported and selected by policy, within the same Azure cloud provider location. Oracle architecture documentation therefore increasingly positions Autonomous Recovery Service as the preferred automatic-backup destination.
The physical Zero Data Loss Recovery Appliance is an on-premises engineered system rather than the managed cloud backup destination in this service. Direct Azure Blob Storage API access is likewise not presented as the standard built-in automatic Exadata backup destination; Azure-hosted Recovery Service storage is accessed through the managed Recovery Service architecture rather than direct customer Blob APIs.
Therefore, C and D are correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata backup destinations and Autonomous Recovery Service.
NEW QUESTION # 23
Which two Oracle high availability and data replication technologies does Oracle Zero Downtime Migration (ZDM) orchestrate when performing online migrations, both physical and logical, to Oracle Database@Azure? (Choose two.)
Answer: A,B
Explanation:
Oracle Zero Downtime Migration is Oracle Maximum Availability Architecture's recommended orchestration framework for moving Oracle databases while minimizing production interruption. For physical online migration , ZDM uses Oracle Data Guard. The target database is instantiated as a physical standby, redo generated on the source is transported and applied to the target, and ZDM coordinates the eventual switchover. Oracle documentation for Oracle Database@Azure specifically states that physical online migration uses direct data transfer, Restore From Service, and Oracle Data Guard to keep source and target synchronized.
For logical online migration , the underlying synchronization technology is Oracle GoldenGate. Oracle Data Pump provides the initial logical export/import, after which GoldenGate captures ongoing source transactions and applies them to the target until cutover. This workflow can also accommodate scenarios involving different database versions or platforms.
Oracle Sharding is an application/data-distribution architecture rather than ZDM's replication mechanism. Far Sync is a Data Guard component for specialized zero-data-loss configurations but is not the primary technology identified for ZDM migration orchestration.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM physical online migration, logical online migration, Data Guard, GoldenGate, Data Pump.
NEW QUESTION # 24
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