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| Section | Weight | Objectives |
|---|---|---|
| HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
>> 1z1-1147 Actual Test Answers <<
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NEW QUESTION # 59
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: B
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 # 60
Which statement best describes the purpose of OCI Vault in the context of Oracle AI Database@Azure?
Answer: B
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 # 61
Which service is Oracle's native, recommended tool to orchestrate and automate database-level role transitions (switchover and failover) across regions for Oracle Database@Azure?
Answer: A
Explanation:
Oracle recommends OCI Full Stack Disaster Recovery (Full Stack DR) for orchestrating disaster-recovery operations around Oracle Database@Azure deployments.
Oracle's reference architecture for local and regional Oracle Database@Azure standbys explicitly recommends Full Stack DR to orchestrate database switchover and failover operations . The service can coordinate ordered disaster-recovery plans instead of requiring administrators to manually perform every database and infrastructure transition during an incident or DR drill.
Oracle Data Guard remains the underlying database replication and role-management technology, while Full Stack DR provides the higher-level orchestration framework for executing coordinated transitions.
Azure Site Recovery is primarily designed for Azure VM and workload replication/recovery and is not Oracle's recommended database-role orchestration service. GoldenGate provides logical replication and data integration rather than end-to-end DR orchestration. Azure Traffic Manager performs DNS-based traffic distribution and can participate in application routing, but it does not execute Oracle database switchovers or failovers.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Full Stack DR orchestration and Data Guard role transitions.
NEW QUESTION # 62
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 # 63
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: C
Explanation:
For a cross-region Autonomous Data Guard standby , Oracle specifies a maximum possible data-loss objective of approximately 1 minute . Accordingly, the intended Recovery Point Objective is one minute.
Cross-region protection differs from a local Autonomous Data Guard standby because geographical distance makes fully synchronous zero-data-loss transport impractical for normal cross-region operation. Oracle therefore uses an asynchronous protection model that provides a bounded RPO while maintaining acceptable database performance.
A useful distinction is between RPO and RTO. RPO measures potential data loss, whereas RTO measures how long restoration of service is targeted to take. Oracle's current Autonomous AI Database Serverless SLO documentation continues to specify a 1-minute cross-region RPO . Current documentation has improved the cross-region RTO target to less than 10 minutes ; older material cited approximately 15 minutes. That RTO evolution does not affect the answer to this question because only RPO is being tested.
Zero data loss therefore applies to different protection scenarios, while five and fifteen minutes do not represent the documented cross-region RPO.
Study Guide reference: HA and DR - Autonomous Data Guard local and cross-region recovery objectives.
NEW QUESTION # 64
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