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Oracle 1Z0-1151-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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 Oracleโ€™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.
Topic 4
  • 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.
Topic 5
  • 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.

Oracle Cloud Infrastructure 2025 Multicloud Architect Professional Sample Questions (Q41-Q46):

NEW QUESTION # 41
How does Oracle Database on Google Cloud simplify database management for customers?

  • A. OCI offers a management console within Google Cloud to simplify database management.
  • B. It enables customers to manage databases through the Google Cloud console or Google Cloud automation tools.
  • C. It requires customers to use Oracle-specific management tools.
  • D. It automatically transfers all database management tasks to the Oracle Cloud Infrastructure console.

Answer: B


NEW QUESTION # 42
In the Oracle Database@Azure service, how are resources provisioned?

  • A. 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.
  • B. Oracle Exadata VM Cluster and container databases are provisioned via the OCI console.
  • 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 provisioned exclusively in the Azure portal.

Answer: D

Explanation:
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.


NEW QUESTION # 43
What does the term "multicloud" mean and how can it help organizations manage their IT infrastructure?

  • A. The use of multiple cloud services from a single provider for redundancy and high availability
  • B. The use of cloud services from multiple providers to leverage the best features and services of each
  • C. The integration of on-premises infrastructure with cloud services for a hybrid cloud approach
  • D. The deployment of a single cloud service across multiple regions and data centers for better performance

Answer: B

Explanation:
"Multicloud" refers to using services from multiple cloud providers (e.g., OCI, Azure, GCP) to leverage their unique strengths, enhancing flexibility, resilience, and cost-efficiency. Option A describes hybrid cloud, Option C is single-provider redundancy, and Option D is multi-region deployment-not multicloud. Oracle's multicloud strategy documentation defines this approach as a key IT management enabler.


NEW QUESTION # 44
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 manage IPsec tunnels between OCI and Google Cloud.
  • D. To act as a firewall for traffic between OCI and Google Cloud.

Answer: A

Explanation:
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.


NEW QUESTION # 45
Which method is NOT a valid approach to scale the Exadata VM Cluster's compute resources?

  • A. Using the Oracle Cloud Infrastructure API to programmatically adjust the compute resource allocation.
  • B. Manually scaling up or down the number of CPU cores allocated to the cluster's VMs via the OCI Console.
  • C. Utilizing OCI's autoscaling functionality through OCI Console that allows for scaling based on performance metrics.
  • D. Leveraging Google Cloud's managed instance groups to automatically scale the number of compute instances in the Exadata VM Cluster.

Answer: D

Explanation:
Here's why:
Oracle Database@Google Cloud provides a managed Exadata service within the Google Cloud environment. However, the scaling of the Exadata VM Cluster's compute resources is not directly integrated with Google Cloud's managed instance groups or autoscaling features.
A) Manually scaling up or down the number of CPU cores allocated to the cluster's VMs via the OCI Console: This is not the correct approach in the Oracle Database@Google Cloud context. You do not directly manage the Exadata VM Cluster's CPU cores through the OCI console. Scaling is done through Google Cloud support.
B) Using the Oracle Cloud Infrastructure API to programmatically adjust the compute resource allocation: Similar to option A, directly using the OCI API is not the supported method within Oracle Database@Google Cloud.
D) Utilizing OCI's autoscaling functionality through OCI Console that allows for scaling based on performance metrics: Autoscaling based on metrics is also not available in this integrated environment.
Scaling the compute resources of an Exadata VM Cluster in Oracle Database@Google Cloud requires coordination with Google Cloud support. They handle the underlying infrastructure changes in conjunction with Oracle. You cannot directly manage the scaling via OCI tools or Google Cloud's general-purpose autoscaling mechanisms.


NEW QUESTION # 46
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