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実用的な1Z0-1151-25試験情報 &合格スムーズ1Z0-1151-25勉強ガイド |信頼的な1Z0-1151-25赤本勉強
時代に対応するために、科学技術は人々の学習方法を向上させると信じています。特にこのようなペースの速い生活テンポでは、効率の高い学習を非常に重視しています。したがって、当社の1Z0-1151-25学習資料は、過去の試験問題と現在の試験の傾向に基づいており、実際の試験環境に配置するためのこのような効果的なシミュレーション機能を設計します。高度な1Z0-1151-25学習教材を備えた高品質のシミュレーションシステムを提供することをお約束します。シミュレーション機能により、1Z0-1151-25トレーニングガイドの理解が容易になり、1Z0-1151-25試験に合格できます。
お客様は1Z0-1151-25を購入した前に、我々のウェブサイトで1Z0-1151-25問題集のサンプルを無料でダウンロードして自分の要求と一致するかどうか確認することができます。先行販売サービスは言うまでもなく、JPNTestのアフターサービスはお客様の販売者への評価の基準だと思います。お客様の利益を保証するために、完全的なアフターサービスは必要となります。我々の提供する1Z0-1151-25のアフターサービスは一年の無料更新と半年以内の失敗返金ということです。
Oracle 1Z0-1151-25勉強ガイド、1Z0-1151-25赤本勉強
JPNTestはもっぱらOracleプロ1Z0-1151-25認証試験に関する知識を提供するのサイトで、ほかのサイト使った人はJPNTestが最高の知識源サイトと比較しますた。JPNTestの商品はとても頼もしい1Z0-1151-25試験の練習問題と解答は非常に正確でございます。
Oracle 1Z0-1151-25 認定試験の出題範囲:
トピック
出題範囲
トピック 1
- Implement Oracle Database@Azure: This section tests the expertise of Database Solutions Architects in deploying and managing Oracle Database@Azure. It covers the architectural components and onboarding processes required for provisioning databases in Azure while maintaining Oracle’s advanced database capabilities. Candidates will also focus on configuring high availability and disaster recovery strategies to ensure business continuity and data resilience in a multi-cloud setup.
トピック 2
- Configure Multicloud Connection Options: This section assesses the abilities of Network Engineers in configuring connectivity solutions for OCI multi-cloud environments. It includes setting up secure networking options such as Site-to-Site VPN and FastConnect for seamless cloud integration. Candidates will also learn how to implement Oracle Interconnect services for establishing direct, high-performance connections between OCI and third-party cloud providers like Microsoft Azure and Google Cloud.
トピック 3
- Implement Oracle Database@Google Cloud: This section measures the proficiency of Cloud Database Engineers in utilizing Oracle Database@Google Cloud. It explores the architecture and operational framework for running Oracle databases on Google Cloud. Candidates will learn about onboarding procedures, provisioning resources, and managing database services effectively to optimize performance and availability in a Google Cloud-integrated multi-cloud ecosystem.
トピック 4
- Introduction to Multicloud: This section of the exam measures the skills of Cloud Architects in understanding multicloud environments and their benefits. It covers the reasons organizations adopt multi-cloud strategies, including flexibility, cost optimization, and risk management. Candidates will learn about common multicloud use cases and how they are implemented in Oracle Cloud Infrastructure (OCI) to enhance interoperability and performance.
トピック 5
- Core OCI Services Overview: This section evaluates the knowledge of Identity and Database Administrators in managing OCI's core services for multi-cloud integration. It covers the implementation of identity federation between OCI Identity Domains and external identity providers, ensuring secure authentication across multiple cloud environments. Candidates will also gain expertise in configuring Virtual Cloud Network (VCN) components and administering OCI database services, including Base Databases, Autonomous Databases, and HeatWave, to support scalable multi-cloud deployments.
Oracle Cloud Infrastructure 2025 Multicloud Architect Professional 認定 1Z0-1151-25 試験問題 (Q37-Q42):
質問 # 37
Which feature is supported in all Oracle Database editions in Oracle Cloud Infrastructure?
- A. Real Application Clusters (RAC)
- B. Data Guard
- C. Advanced Security
- D. In-Memory Database
正解:D
解説:
The In-Memory Database feature, which accelerates analytics and mixed workloads, is supported across all Oracle Database editions in OCI (e.g., Standard, Enterprise). RAC (Option A), Data Guard (Option C), and Advanced Security (Option D) are edition-specific or require additional licensing/configurations. Oracle's database feature matrix confirms In-Memory's universal availability in OCI deployments.
質問 # 38
Which interface can you use to provision Oracle Database at Azure Exadata Infrastructure?
- A. OCI console
- B. Azure portal and APIs
- C. Azure Terraform scripts
- D. OCI Terraform scripts
正解:B
解説:
Since Oracle Database@Azure places the Exadata infrastructure within Azure datacenters, the primary interface for provisioning and managing that infrastructure is through Azure's own tools. This includes:
Azure portal: This is the graphical user interface for managing Azure resources. You can use the portal to deploy and configure the Exadata infrastructure.
Azure APIs: Azure also provides a rich set of APIs that allow for programmatic management of resources. These APIs can be used to automate the provisioning and configuration of Exadata infrastructure.
Here's why the other options are incorrect:
a). OCI console: The OCI console is used for managing resources within Oracle Cloud Infrastructure. Since the Exadata infrastructure in Oracle Database@Azure resides within Azure, the OCI console is not used for its provisioning.
b). Azure Terraform scripts: While Terraform can be used to manage Azure resources, it's not the only or primary interface. The Azure portal and APIs are the core tools provided by Microsoft. Terraform would be used as a layer on top of those.
d). OCI Terraform scripts: OCI Terraform scripts are for managing resources in Oracle Cloud Infrastructure. They are not relevant for managing Exadata infrastructure within Azure.
質問 # 39
Which of the following scenarios would NOT be a valid example of how multicloud might help in this objective?
- A. Employing a multi-cloud container orchestration platform to effectively utilize existing resources across different environments.
- B. Using a consistent pricing model for all services regardless of the cloud provider.
- C. Leveraging specific cloud providers that offer significant discounts on compute instances during off-peak hours.
- D. Deploying workloads on cloud providers that offer better pricing for specific services used by the application.
正解:B
解説:
Here's why:
Pricing variability is key: A core principle of multicloud cost optimization is taking advantage of the differences in pricing models between cloud providers. If all providers had consistent pricing, there would be no cost advantage to choosing one over another for specific services or usage patterns. The ability to shop around and select the most cost-effective provider for a given workload or time of day is a key driver of multicloud cost savings.
Here's why the other options are valid examples:
a) Leveraging specific cloud providers that offer significant discounts on compute instances during off-peak hours: This is a classic example of multicloud cost optimization. By shifting workloads to providers with lower off-peak pricing, organizations can significantly reduce compute costs.
c) Deploying workloads on cloud providers that offer better pricing for specific services used by the application: Different cloud providers have different pricing strategies for various services. By analyzing these differences and deploying workloads accordingly, organizations can optimize costs. For example, one provider might have cheaper storage, while another has cheaper data transfer.
d) Employing a multi-cloud container orchestration platform to effectively utilize existing resources across different environments: Container orchestration platforms like Kubernetes can help optimize resource utilization across multiple clouds. By efficiently scheduling containers based on resource availability and cost, organizations can minimize waste and reduce overall cloud spending.
質問 # 40
In the Oracle Database@Azure service, how are resources provisioned?
- A. Oracle Exadata VM Cluster and container databases are provisioned via the OCI console.
- B. Oracle Exadata Infrastructure and VM Cluster are provisioned exclusively in the Azure portal.
- C. Both Oracle Exadata Infrastructure and VM Cluster, as well as Oracle container and pluggable databases, are provisioned through the Azure portal.
- D. Oracle Exadata Infrastructure and VM Cluster are set up in the OCI console, while Oracle container and pluggable databases are managed in the Azure portal.
正解:B
解説:
Oracle Database@Azure is a service where Exadata infrastructure is deployed within Azure datacenters. Therefore, the provisioning of the underlying infrastructure-the Exadata machines, networking, and virtual machine cluster-is managed through the Azure portal.
Here's a breakdown:
Exadata Infrastructure and VM Cluster: These are the foundational components of the service. Because the hardware and virtualization reside within Azure's environment, their provisioning and management are handled through the Azure portal. This includes setting up the compute nodes, storage servers, network configuration, and the virtual machine cluster that runs the Oracle software.
Why the other options are incorrect:
a). Both Oracle Exadata Infrastructure and VM Cluster, as well as Oracle container and pluggable databases, are provisioned through the Azure portal: While the infrastructure is managed in Azure, the actual database instances (Container Databases and Pluggable Databases) are managed using Oracle tools and potentially through the OCI console for some specific tasks, not directly through the Azure portal.
b). Oracle Exadata Infrastructure and VM Cluster are set up in the OCI console, while Oracle container and pluggable databases are managed in the Azure portal: This is incorrect. Since the Exadata hardware resides in Azure, the OCI console is not involved in the infrastructure provisioning.
c). Oracle Exadata VM Cluster and container databases are provisioned via the OCI console: This is also incorrect. The VM cluster resides within Azure, so the OCI console is not used for its provisioning.
質問 # 41
When setting up Oracle Interconnect for Google Cloud, what is the primary function of the Cloud Router in Google Cloud?
- A. To exchange routing information with the OCI Dynamic Routing Gateway (DRG) using BGP.
- B. To provide network address translation (NAT) for instances in the Google Cloud VPC.
- C. To act as a firewall for traffic between OCI and Google Cloud.
- D. To manage IPsec tunnels between OCI and Google Cloud.
正解:A
解説:
The Cloud Router in Google Cloud is a fully distributed and managed Google Cloud service that provides BGP routing. In the context of Oracle Interconnect for Google Cloud, its primary function is to establish BGP sessions with the OCI Dynamic Routing Gateway (DRG) to exchange routing information. This allows traffic to be dynamically routed between the two cloud environments.
Here's why the other options are incorrect:
A). To act as a firewall for traffic between OCI and Google Cloud. While firewalls are important for security, the Cloud Router's primary function is routing, not firewalling. Firewall rules would be configured separately in both OCI and Google Cloud.
B). To manage IPsec tunnels between OCI and Google Cloud. Oracle Interconnect for Google Cloud, when using Partner Interconnect or Dedicated Interconnect, relies on a direct connection or a partner's network, not IPsec tunnels over the public internet.
D). To provide network address translation (NAT) for instances in the Google Cloud VPC. While Cloud NAT is a separate Google Cloud service that provides NAT, it's not the primary function of the Cloud Router in the context of the Interconnect.
質問 # 42
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