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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Oracle AI Database@Azure Networking | 15% | - Default and advanced networking - User-defined routes - ExpressRoute and site-to-site connectivity - Delegated subnets - Oracle.Database network attachments - VNet peering and connectivity - Network security groups - DNS resolution and private connectivity |
| Topic 2: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration strategy selection - Oracle Data Pump - Migration validation and cutover - RMAN-based migration - Data Guard and GoldenGate |
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Patching and maintenance - Scaling and resource management - Cloning and refreshing databases - Exadata Infrastructure and VM Clusters - Quotas and service limits - Monitoring and database management - Container and Pluggable Databases - Autonomous Database Serverless |
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Encryption in transit - Transparent Data Encryption - Network isolation - Auditing and logging - Database and infrastructure access control |
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - Switchover and failover - Point-in-time recovery - Availability zones and Exadata redundancy - High availability architecture - RTO and RPO considerations - Data Guard and Autonomous Data Guard |
| Topic 7: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Roles and permissions - Azure regions and OCI availability zones - Azure subscription and OCI tenancy linking - Azure Marketplace purchase and onboarding |
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NEW QUESTION # 53
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 # 54
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: B,D
Explanation:
Oracle Zero Downtime Migration organizes its Oracle database migration methods into two fundamental workflow families: Physical Migration and Logical Migration . Each family can then have online and offline variants depending on compatibility requirements and acceptable downtime.
Physical migrations operate on the physical database representation and rely on technologies such as RMAN and Oracle Data Guard. Physical Online migration can instantiate a target using Restore From Service and maintain synchronization using Data Guard, while Physical Offline uses RMAN backup and restore.
Logical migrations operate through logical database objects and data. Oracle Data Pump provides the initial export/import mechanism, while Logical Online migration integrates Oracle GoldenGate to capture and replicate ongoing transactions before cutover. Logical workflows are also suitable for many cross-version or cross-platform scenarios that physical workflows cannot support.
"Container-based migration" and "snapshot-based migration" are not ZDM's top-level migration workflow categories.
Oracle's current ZDM documentation explicitly states that ZDM supports both Physical and Logical Migration workflows.
Therefore, B and D are correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM workflow categories.
NEW QUESTION # 55
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: B,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 # 56
Which two options represent the minimum physical server components required when provisioning an initial Oracle Exadata Infrastructure deployment in Oracle AI Database@Azure? (Choose two.)
Answer: C,D
Explanation:
The foundational Exadata configuration is constructed from two distinct server tiers: database servers that execute Oracle Database workloads and Exadata Storage Servers that provide intelligent, scale-out database storage. Oracle's Exadata technical architecture identifies the base configuration as two database servers and three storage servers .
Two database servers provide the minimum database compute topology necessary for the architecture's availability and clustered database capabilities. A single database server would eliminate the server-level redundancy expected from the standard Exadata infrastructure design. On the storage side, three Exadata Storage Servers form the baseline storage configuration and support the redundancy mechanisms used by Oracle Automatic Storage Management and Exadata storage services.
Oracle documents the same two-database-server/three-storage-server starting configuration across current Exadata architectural material. Additional database or storage servers can be added in supported elastic configurations, but those expansions do not alter the minimum starting configuration asked for in the question.
Therefore, B and D are correct. Two storage servers are below the supported storage-server baseline, while one database server does not constitute the standard Exadata base infrastructure.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Infrastructure architecture, database servers, storage servers, infrastructure sizing.
NEW QUESTION # 57
Your team is migrating a processing-intensive workload to Oracle Autonomous AI Database Serverless on Oracle AI Database@Azure and needs to scale up the compute allocation during provisioning. What is the maximum number of ECPUs that can be configured for a single database instance using the slider user interface?
Answer: D
Explanation:
The standard Oracle Autonomous AI Database Serverless resource-allocation interface permits the administrator to configure the base compute allocation up to 512 ECPUs using the ECPU slider. This value represents the configured base ECPU count for a single database instance rather than the potential temporary compute consumption obtainable through compute auto scaling.
Oracle distinguishes configured ECPUs from auto-scaled usage. For eligible Autonomous AI Database configurations, compute auto scaling can allow the database to consume additional processing capacity above the configured base according to workload demand. For example, a database configured with 512 ECPUs may be capable of consuming substantially more effective processing capacity when auto scaling is enabled, subject to the service and licensing model.
The 1024-ECPU option therefore does not represent the normal single-instance slider ceiling addressed by this question. The 256- and 128-ECPU values are valid intermediate configurations but are below the maximum.
Consequently, A. 512 ECPUs is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless provisioning, ECPU configuration and compute scaling.
NEW QUESTION # 58
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