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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 2: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Topic 3: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 5: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
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NEW QUESTION # 15
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
NEW QUESTION # 16
You have accepted and purchased a Private Offer for Oracle AI Database@Azure in the Azure Marketplace, and the offer status now shows as subscribed. What must you do before you can provision Exadata resources?
Answer: A
Explanation:
Purchasing and subscribing to the Oracle AI Database@Azure Private Offer establishes the Azure Marketplace commercial relationship, but it does not complete the technical onboarding process. The next mandatory stage is linking the Azure subscription to an Oracle Cloud Infrastructure tenancy . Oracle refers to this process as multicloud linking.
For a Private Offer, the customer can either create a new OCI tenancy or link an existing eligible OCI tenancy. The linked OCI account supplies the Oracle-side control-plane context used for database resources, including management of container databases and pluggable databases and delivery of Oracle infrastructure and software maintenance services. Only after the Purchase and Link stages have been completed and the account relationship is verified can normal Oracle AI Database@Azure resource provisioning proceed.
Azure Key Vault integration is optional and relates to customer-managed TDE keys. Data Guard is configured after database infrastructure exists, and an Autonomous Database is not a prerequisite for Exadata.
Therefore, D is correct. Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding
- Purchase, Link, Verify, and OCI tenancy association.
NEW QUESTION # 17
Where is a long-term retention backup in the Oracle Database Autonomous Recovery Service automatically moved after its first 24 hours of storage?
Answer: A
Explanation:
Oracle Database Autonomous Recovery Service supports Long-Term Retention (LTR) backups for organizations that need to preserve full database backups for compliance, regulatory, legal, or business requirements. The correct destination is the OCI Object Storage Infrequent Access tier .
The question source specifies that the LTR backup initially remains in the standard storage tier and transitions after the first 24 hours to Infrequent Access storage for the remainder of its retention period. Oracle's Recovery Service documentation independently confirms that long-term retention backups are stored in the Object Storage Infrequent Access tier and can be retained for periods extending up to ten years.
The Infrequent Access tier is appropriate because LTR backups are retained for extended periods but are generally restored less frequently than operational backups. Archive Storage is not the managed destination used by Recovery Service for this workflow. Azure Archive Blob Storage is likewise not the Oracle-managed OCI storage tier identified for these backups, and there is no "OCI Legacy Backup" storage tier.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous Recovery Service, LTR backups, retention and storage lifecycle.
NEW QUESTION # 18
A mid-size retailer wants to move a moderately sized seasonal transactional workload to Oracle AI Database@Azure. They want to avoid provisioning dedicated database and storage servers, want to start with a small committed footprint and elastically scale ECPUs and storage online as holiday sales volume grows, and want the ability to create instant, space-efficient thin clones of production for their developers. As the architect, you must select the Oracle AI Database@Azure deployment option that meets all of these needs.
Choose ONE.
Answer: A
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure precisely matches the scenario. Exascale uses Oracle-managed, multitenant physical database-server infrastructure, allowing customers to provision relatively small VM Clusters rather than committing to dedicated Exadata database and storage servers.
A VM Cluster can begin at 8 ECPUs per VM and scale its compute allocation in 4-ECPU increments.
Exascale storage is also elastic and can be expanded without requiring customers to add or manage physical Exadata Storage Servers.
A distinctive Exascale feature is redirect-on-write thin cloning . Oracle documents the ability to create space-efficient PDB clones in which unchanged blocks remain shared between the parent and clone. This makes development and test copies fast to provision and economical in storage consumption.
Dedicated Infrastructure contradicts the requirement to avoid dedicated server capacity. Base Database Service does not offer the same Exascale thin-clone architecture, while Autonomous Serverless represents a different autonomous operating model.
Therefore, B is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale elasticity and thin clones.
NEW QUESTION # 19
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
Answer: C
Explanation:
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
NEW QUESTION # 20
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