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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding - Explain Oracle Database services in Oracle AI Database@Azure |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Autonomous AI Database - Provision Exadata infrastructure and clusters - Backup and restore processes - Provision Base Database Service - Provision Exascale infrastructure and services - Configure monitoring and observability - Create and configure Azure delegated subnet |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata |
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NEW QUESTION # 46
Which statement best describes the purpose of OCI Vault in the context of Oracle AI Database@Azure?
Answer: C
Explanation:
OCI Vault is Oracle Cloud Infrastructure's centralized service for managing encryption keys and secrets. In Oracle AI Database@Azure, it can participate in customer-managed key architectures for Oracle Transparent Data Encryption.
TDE encrypts Oracle database data at rest using master encryption keys. Oracle AI Database@Azure supports Oracle-managed keys stored in an Oracle Wallet as the default model and several customer-managed key stores, including OCI Vault, Oracle Key Vault, and Azure Key Vault. Using OCI Vault allows organizations to manage cryptographic key lifecycle operations-including controlled creation, rotation, access policy, and auditing-outside the database itself.
Vault and identity management should not be confused. Microsoft Entra ID and OCI IAM Identity Domains implement identity federation and user authentication; OCI Vault does not function as an identity provider.
Likewise, it is unrelated to content delivery or application/network connectivity. Delegated subnets remain mandatory Azure networking constructs regardless of the selected encryption-key architecture.
Therefore, the correct description is A .
Study Guide reference: Secure Oracle AI Database@Azure - TDE, Oracle-managed and customer- managed encryption keys, OCI Vault.
NEW QUESTION # 47
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: B
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 # 48
You have deployed a primary Exadata VM cluster in one Azure region and a standby in a distant paired region using Active Data Guard. Round-trip latency between the regions exceeds the threshold for synchronous redo transport, but the application requires zero data loss on regional failover. What should you configure?
Answer: B
Explanation:
Oracle Active Data Guard Far Sync is specifically designed to provide zero-data-loss protection when the physical standby database is too geographically distant for direct synchronous redo transport without unacceptable primary-database latency.
The primary database sends redo synchronously to a nearby Far Sync instance. Because the Far Sync instance is positioned within low network latency of the primary, the primary can obtain the acknowledgement required for zero-data-loss protection without waiting for communication with the distant standby. Far Sync then forwards the redo asynchronously across the higher-latency interregional connection to the remote standby.
Oracle's Oracle Database@Azure reference architecture explicitly uses this pattern: the primary sends redo in SYNC mode to its local Far Sync instance, which forwards it in ASYNC mode to the remote standby database.
Maximum Performance using ASYNC alone permits a potential data-loss window. A snapshot standby is intended primarily for temporary read/write testing. Fast-Start Failover automates role transitions but requires an Observer and does not independently solve the synchronous-transport latency problem.
Therefore, C is correct. Study Guide reference: HA and DR - Active Data Guard Far Sync and zero-data- loss cross-region protection.
NEW QUESTION # 49
Which ZDM migration workflow uses an initial load followed by GoldenGate-based change data capture to achieve near-zero downtime?
Answer: A
Explanation:
Logical Online Migration combines an initial logical data load with Oracle GoldenGate change data capture to minimize production downtime.
The initial target database is populated using Oracle Data Pump export and import. Because that data movement can take a substantial amount of time for large databases, Oracle GoldenGate continuously captures transactions committed on the source while the initial load is being performed. Those transactions are subsequently applied to the target, allowing the destination to converge with the production source while the application remains active.
When synchronization reaches the required state, ZDM orchestrates the final migration phases and application cutover. The downtime requirement is therefore concentrated around the final transition rather than the entire export/import window.
Logical Offline uses Data Pump without continuous GoldenGate synchronization. Physical Online uses RMAN-based target instantiation and Oracle Data Guard redo synchronization instead of GoldenGate.
Physical Offline similarly relies on physical backup/restore processes and does not use logical change-data capture.
Thus, B. Logical Online Migration is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate CDC.
NEW QUESTION # 50
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: C
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 # 51
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