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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Quotas and service limits - Monitoring and database management - Cloning and refreshing databases - Container and Pluggable Databases - Patching and maintenance - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Scaling and resource management |
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Oracle.Database network attachments - VNet peering and connectivity - ExpressRoute and site-to-site connectivity - DNS resolution and private connectivity - Network security groups - Delegated subnets - Default and advanced networking - User-defined routes |
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - RMAN-based migration - Data Guard and GoldenGate - Oracle Data Pump - Migration validation and cutover - Zero Downtime Migration |
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 5: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Azure Marketplace purchase and onboarding - Roles and permissions - Oracle AI Database@Azure architecture |
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - Switchover and failover - Point-in-time recovery - RTO and RPO considerations - Availability zones and Exadata redundancy - High availability architecture - Data Guard and Autonomous Data Guard - Backup and restore |
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Oracle-managed and customer-managed keys - Auditing and logging - Network isolation - Azure and OCI separation of duties - Transparent Data Encryption - Encryption in transit |
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NEW QUESTION # 37
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: A
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 # 38
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: C
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 # 39
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: B
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 40
Which core Oracle Database technology is utilized under the hood to deliver localized node-level high availability in the MAA Silver tier for Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure?
Answer: D
Explanation:
Oracle Maximum Availability Architecture Silver adds Oracle Real Application Clusters (RAC) to the MAA Bronze foundation. RAC provides active-active database clustering across multiple database-server nodes while all instances access the same underlying database storage.
For Exadata Database Service on Dedicated Infrastructure, RAC supplies localized protection against database-instance and database-server failure. If one RAC instance or compute node fails, services and connections can relocate to surviving instances that are already running. RAC also materially reduces or eliminates database downtime for many planned maintenance operations.
Oracle Active Data Guard addresses a different availability layer: it maintains a physically separate standby database and is primarily used for site, availability-zone, or regional disaster recovery. Oracle GoldenGate performs logical data replication and integration, while Oracle Sharding distributes data across independent database shards for scale and fault isolation.
Oracle's current MAA documentation explicitly identifies RAC as the technology introduced at the Silver tier and recommends Exadata as the optimized RAC platform.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - MAA Silver, Oracle RAC and local high availability.
NEW QUESTION # 41
You have configured automatic backups for an Exadata Database using Object Storage with a 30-day retention period. A new compliance requirement now mandates that full backups be retained for up to 10 years with immutability. What should you do?
Answer: C
Explanation:
Oracle Database Autonomous Recovery Service provides the specific capabilities required for multi-year database backup retention combined with immutability .
Oracle's Long-Term Retention capability allows a full database backup to be retained for up to ten years .
This addresses regulatory requirements that exceed ordinary operational backup-retention windows. Recovery Service additionally supports Retention Lock , which prevents protected backups from being modified or deleted before the configured retention period expires. This provides a database-aware immutability mechanism suitable for ransomware, malicious-administrator, and compliance-protection scenarios.
Merely increasing a standard Object Storage backup retention value does not provide the same Recovery Service lifecycle, recoverability validation, protection-policy model, or database-specific retention locking.
NFS likewise does not introduce a managed ten-year immutable recovery framework. Manual on-demand backups also fail to provide policy-enforced retention and introduce unnecessary operational risk.
The combination of Recovery Service, LTR, and Retention Lock directly addresses both requirements in the question: ten-year retention and immutability .
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, Long- Term Retention and Retention Lock.
NEW QUESTION # 42
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