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| Section | Weight | Objectives |
|---|---|---|
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Provision Autonomous AI Database - Create and configure Azure delegated subnet - Provision Base Database Service - Provision Exascale infrastructure and services - Configure monitoring and observability - Backup and restore processes |
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Explain networking concepts - Configure DNS |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata - Understand Oracle Zero Downtime Migration (ZDM) |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
>> Valid 1z0-1147 Exam Testking <<
The Oracle 1z0-1147 Certification is a valuable credential in the modern world. The Oracle 1z0-1147 certification exam offers a great opportunity for beginners and experienced professionals to validate their skills and knowledge level. With the one certification Oracle AI Database@Azure Architect Professional exam you can upgrade your expertise and knowledge.
NEW QUESTION # 28
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: A
Explanation:
Oracle Autonomous AI Database Serverless allows administrators to configure the automatic backup- retention window according to business recovery and compliance requirements. Oracle's current Autonomous AI Database provisioning documentation specifies an allowable automatic backup-retention range of 1 through 60 days .
Within that period, the database can be restored and recovered to an appropriate point in time, subject to the normal Autonomous AI Database backup and recovery mechanisms. A longer retention window provides a broader point-in-time recovery horizon but must also be considered alongside governance, compliance, and backup-protection requirements.
Oracle also supports Backup Retention Lock , which materially changes administrative behavior. When the retention period is locked, administrators cannot simply disable the lock or alter the protected retention setting through ordinary provisioning controls; Oracle Support intervention is required for those changes. This distinction is important for regulated workloads where backup immutability or protection from malicious administrative actions is required.
The alternatives beginning at seven days incorrectly raise the minimum, while the 30-day options incorrectly reduce the supported maximum. The complete configurable range is therefore 1-60 days .
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database automatic backups, point-in-time recovery, backup-retention configuration and retention lock.
NEW QUESTION # 29
Your organization is deploying a business-critical database on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. Your security and compliance officer mandates that all database backups must remain exclusively within the local Azure region to satisfy strict data residency laws, and they must be protected against ransomware using an immutable, policy-based retention lock.
Additionally, the business requires real-time database protection that reduces potential data loss to less than one second in the event of an outage. Finally, the procurement team wants to ensure that the storage cost of these backups draws down on their existing Microsoft Azure Consumption Commitment (MACC). Which backup option should you implement to meet all of these requirements? Choose ONE.
Answer: D
Explanation:
Oracle Database Autonomous Recovery Service with Azure-based storage is specifically designed to satisfy this combination of data residency, ransomware protection, near-zero data loss, and Azure commercial integration.
Oracle allows the protection policy to specify Store backups in the same cloud provider as the database , which keeps Oracle Database@Azure Recovery Service backups within Azure rather than the paired OCI region. A protection policy can also enable Retention Lock , preventing backups from being modified or deleted before policy expiration and providing protection against accidental or malicious deletion.
For business-critical databases, Real-time Data Protection can be enabled. Oracle describes this as providing recovery to the last sub-second, materially reducing potential data-loss exposure compared with ordinary periodic backups.
Oracle AI Database@Azure usage is billed through Azure Marketplace and counts toward Microsoft Azure Consumption Commitment. Standard OCI Object Storage would not satisfy the stated local-Azure-only storage requirement. Customer-managed Blob Storage lacks the integrated Recovery Service real-time protection model, while ZDLRA is an engineered on-premises recovery appliance rather than the native Oracle AI Database@Azure service.
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, retention lock, real-time protection and data residency.
NEW QUESTION # 30
A multinational organization's security team has implemented strict Azure Policy definitions that deny the creation of any untagged resource groups and prohibit deploying resources in any region other than West Europe. An administrator is now attempting to purchase an Oracle AI Database@Azure Private Offer and complete the subscription setup, but the subscription registration fails immediately with a "Deny" policy action during the purchase. The failure is traced to a managed resource group that must be created in the background to contain the OracleSubscription billing object. To resolve this deployment blocker and successfully purchase the offer, what specific adjustment must the Azure policy and administrator align on?
Choose ONE.
Answer: B
Explanation:
The purchase process creates an Azure-managed resource group in the background to host the OracleSubscription resource used for Oracle AI Database@Azure billing and subscription integration.
Microsoft specifically documents a known issue in which Azure Policy can block this operation.
The system-created managed resource group must initially be located in EastUS , must conform to the provider-defined naming requirement, and is initially created without tags . Consequently, an enterprise policy that allows only West Europe or denies untagged resource groups prevents the OracleSubscription resource from being created. The correct remediation is to exempt the applicable managed resource group from those blocking policies during the purchase process. Microsoft recommends identifying the blocking assignment in the Azure activity log and creating an appropriate, preferably time-bound, Azure Policy exemption.
Administrators cannot solve the problem by manually creating their own resource group in West Europe because this is a provider-managed resource. Billing-address changes likewise do not change the resource provider's required deployment location, and OCI commercial-model changes do not remove the Azure OracleSubscription requirement.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - private offer purchase, OracleSubscription resource, Azure prerequisites and policy considerations.
NEW QUESTION # 31
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: B,C
Explanation:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
NEW QUESTION # 32
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 # 33
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