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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Autonomous Database Serverless - Monitoring and database management - Cloning and refreshing databases - Container and Pluggable Databases - Patching and maintenance - Exadata Infrastructure and VM Clusters - Scaling and resource management - Quotas and service limits |
| Topic 2: HA and DR with Oracle AI Database@Azure | 10% | - Point-in-time recovery - Availability zones and Exadata redundancy - Switchover and failover - RTO and RPO considerations - High availability architecture - Backup and restore - Data Guard and Autonomous Data Guard |
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure Marketplace purchase and onboarding - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Roles and permissions - Oracle AI Database@Azure architecture - Microsoft Entra ID and OCI IAM federation |
| Topic 4: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Oracle Data Pump - RMAN-based migration - Zero Downtime Migration - Migration strategy selection - Migration validation and cutover - Data Guard and GoldenGate |
| Topic 5: Configure Oracle AI Database@Azure Networking | 15% | - VNet peering and connectivity - User-defined routes - Default and advanced networking - Network security groups - Oracle.Database network attachments - DNS resolution and private connectivity - Delegated subnets - ExpressRoute and site-to-site connectivity |
| Topic 6: Secure Oracle AI Database@Azure | 15% | - Oracle-managed and customer-managed keys - Database and infrastructure access control - Transparent Data Encryption - Auditing and logging - Network isolation - Encryption in transit - Azure and OCI separation of duties |
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
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NEW QUESTION # 80
An enterprise configures an Azure User-Defined Route (UDR) with a prefix of 10.0.0.0/16 to route traffic to an Oracle AI Database@Azure instance that resides in a delegated subnet sized at 10.0.0.0/24. What is the consequence of configuring this less specific UDR prefix?
Answer: D
Explanation:
Oracle's Hub-and-Spoke design guidance defines an important UDR rule for Oracle AI Database@Azure delegated subnets: the route prefix must be at least as specific as the delegated subnet CIDR . A /24 delegated subnet therefore cannot be reliably represented by a broader /16 route when the architecture requires the delegated subnet-specific path.
The less-specific route can fail to take precedence over more-specific system or service routes. This creates the possibility that traffic takes one route toward the database but returns through a different route. Such asymmetric routing is especially problematic with Azure Firewall or an NVA because stateful firewalls expect both directions of a connection to traverse the same inspection point. If the return packet follows a different path, the firewall can drop the session.
A UDR has no mechanism for duplicating VNICs, changing SQL*Net encryption, or resizing the underlying subnet. It simply influences Layer-3 forwarding.
Therefore, A accurately describes the documented routing consequence.
Study Guide reference: Configure Oracle AI Database@Azure Networking - UDR prefix specificity, delegated subnet routing, Hub-and-Spoke and asymmetric routing prevention.
NEW QUESTION # 81
Your company wants to purchase Oracle Exadata Database Service on Dedicated Infrastructure via the Azure Marketplace but finds that it is only eligible through custom Private Offers. Which alternative high- performance database service should you select that is eligible for purchase via both Public Offers and Private Offers in the Azure Marketplace?
Answer: D
Explanation:
Oracle's current Oracle AI Database@Azure service matrix explicitly identifies Oracle Exadata Database Service on Exascale Infrastructure as eligible for both Private Offer and Public Offer purchasing models.
A Public Offer uses a pay-as-you-go Azure Marketplace model and allows customers to begin consuming supported services without first negotiating a custom contract with Oracle Sales. A Private Offer is based on negotiated commercial terms and is appropriate for enterprise commitments and customized pricing.
Exadata Database Service on Dedicated Infrastructure is Private Offer eligible but not Public Offer eligible.
The same Private-Offer-only restriction applies to Autonomous AI Database on Dedicated Exadata Infrastructure. Oracle Database Autonomous Recovery Service is a database protection service rather than the alternative primary high-performance Exadata database platform requested by the scenario, and it is also listed as Private Offer only.
Exascale therefore combines Exadata database capabilities with a lower-entry, elastic shared-infrastructure model and marketplace flexibility.
Thus, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure Marketplace offers and available database services.
NEW QUESTION # 82
You have enabled automatic backups on an Autonomous AI Database with a 30-day retention period. You subsequently terminate the Autonomous Container Database. What happens to the previously retained automatic backups?
Answer: D
Explanation:
Oracle Autonomous Container Database backup configuration includes an explicit backup-retention policy on termination . Administrators can select one of two supported behaviors: retain backups according to the normal configured backup-retention period, or retain them for 72 hours after termination and then delete them .
Oracle documentation identifies these options as RETAIN_PER_RETENTION_WINDOW and RETAIN_FOR_72_HOURS. The latter is the default in relevant API/Terraform configuration. Therefore, terminating an Autonomous Container Database does not inherently result in the immediate deletion of all automatic backups. Their post-termination lifetime is governed by the configured termination-retention policy.
Standard automatic backups are also not automatically converted into Long-Term Retention backups when the database is terminated. LTR backups have their own lifecycle and are explicitly excluded from the ordinary ACD termination-retention setting. No automatic export to Azure Blob Storage occurs as part of ACD termination.
Thus, B correctly reflects Oracle's documented post-termination backup behavior.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Container Database automatic backups, termination and retention policy.
NEW QUESTION # 83
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: C
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 # 84
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
Answer: A,C
Explanation:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
NEW QUESTION # 85
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