Neueste Oracle AI Database@Azure Architect Professional Prüfung pdf & 1z1-1147 Prüfung Torrent

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Oracle 1z1-1147 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Secure Oracle AI Database@Azure Deployments15%- Security configurations and best practices
Topic 2: Introduction to Multicloud5%- Explain common multicloud use cases and their implementation in OCI
- Explain multicloud and its benefits
Topic 3: Provision and Operate Oracle AI Database@Azure Resources20%- Create and configure Azure delegated subnet
- Provision Base Database Service
- Provision Autonomous AI Database
- Configure monitoring and observability
- Backup and restore processes
- Provision Exascale infrastructure and services
- Provision Exadata infrastructure and clusters
Topic 4: High Availability and Disaster Recovery10%- Implement HA and DR configurations
Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure15%- ZDM workflows to Autonomous AI Database
- Understand Oracle Zero Downtime Migration (ZDM)
- ZDM workflows to Exadata
Topic 6: Oracle AI Database@Azure Architecture and Onboarding20%- Explain Oracle Database services in Oracle AI Database@Azure
- Configure prerequisites for onboarding
- Understand purchase options
- Explain Oracle AI Database@Azure and its architecture
Topic 7: Configure Oracle AI Database@Azure Networking15%- Describe supported network topologies
- Configure DNS
- Explain networking concepts

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Oracle AI Database@Azure Architect Professional 1z1-1147 Prüfungsfragen mit Lösungen (Q24-Q29):

24. Frage
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?

Antwort: C

Begründung:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.


25. Frage
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)

Antwort: B,C

Begründung:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.


26. Frage
Your company wants to purchase Oracle Exadata Database Service on Dedicated Infrastructure via the Azure Marketplace but finds that it is only eligible through custom Private Offers. Which alternative high- performance database service should you select that is eligible for purchase via both Public Offers and Private Offers in the Azure Marketplace?

Antwort: D

Begründung:
Oracle's current Oracle AI Database@Azure service matrix explicitly identifies Oracle Exadata Database Service on Exascale Infrastructure as eligible for both Private Offer and Public Offer purchasing models.
A Public Offer uses a pay-as-you-go Azure Marketplace model and allows customers to begin consuming supported services without first negotiating a custom contract with Oracle Sales. A Private Offer is based on negotiated commercial terms and is appropriate for enterprise commitments and customized pricing.
Exadata Database Service on Dedicated Infrastructure is Private Offer eligible but not Public Offer eligible.
The same Private-Offer-only restriction applies to Autonomous AI Database on Dedicated Exadata Infrastructure. Oracle Database Autonomous Recovery Service is a database protection service rather than the alternative primary high-performance Exadata database platform requested by the scenario, and it is also listed as Private Offer only.
Exascale therefore combines Exadata database capabilities with a lower-entry, elastic shared-infrastructure model and marketplace flexibility.
Thus, A is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Azure Marketplace offers and available database services.


27. Frage
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?

Antwort: B

Begründung:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.


28. Frage
What is the subnet requirement for configuring an OCI Hub VCN to enable transit routing for Active Data Guard traffic between Oracle Database@Azure regions?

Antwort: B

Begründung:
Oracle's reference architecture for multi-region Oracle Database@Azure disaster recovery explicitly states that no subnet is required in the Hub VCN to enable transit routing .
The Hub VCN serves primarily as a routing construct connecting gateways and route-table attachments.
DRGs, Local Peering Gateways, Remote Peering Connections, and VCN route tables provide the required network forwarding between the Oracle Database@Azure Child Site VCNs and remote regions. Because the hub does not need to host compute instances or network virtual appliances for this gateway-based transit model, it does not require a workload subnet.
This has an additional design benefit: the hub VCN can use a comparatively small CIDR range because there is no requirement to reserve substantial address space for servers or VNICs.
A public subnet and Internet Gateway are unnecessary because Data Guard traffic should traverse private cloud networking. Likewise, dedicated /24 transit-appliance subnets or per-availability-domain private subnets are not mandatory for the gateway-based topology.
Therefore, D is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - cross-region Data Guard, OCI Hub VCN and transit routing.


29. Frage
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