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[General] 1Z0-1151-25 Latest Version, Reliable 1Z0-1151-25 Dumps Book

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【General】 1Z0-1151-25 Latest Version, Reliable 1Z0-1151-25 Dumps Book

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Oracle 1Z0-1151-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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
  • 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 4
  • 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.
Topic 5
  • 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.

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Oracle Cloud Infrastructure 2025 Multicloud Architect Professional Sample Questions (Q46-Q51):NEW QUESTION # 46
Which operations are performed in the Azure portal to manage Oracle Database@Azure resources?
  • A. Scaling up the Exadata infrastructure and running software updates
  • B. Managing database encryption keys and disaster recovery configurations
  • C. Monitoring database metrics and logs using OCI services
  • D. Scaling up database resources and configuring database backups
Answer: A
Explanation:
In Oracle Database@Azure, the Azure portal is used to scale up Exadata infrastructure (e.g., adding compute) and run software updates, aligning with its infrastructure management role. Database-specific tasks like scaling resources or backups (Option A) and DR configurations (Option D) occur at the database level, often via OCI tools. Option B incorrectly ties OCI services to Azure monitoring. Oracle's management guide specifies these Azure portal functions.

NEW QUESTION # 47
Which of the following is NOT a common driver for organizations to adopt a multicloud strategy?
  • A. The goal of avoiding vendor lock-in and gaining more negotiating power over cloud service pricing.
  • B. The preference for sticking to a single cloud vendor to keep management and development workflows consistent.
  • C. The need to achieve geographic redundancy and enhance business continuity.
  • D. The desire to leverage cutting-edge machine learning and artificial intelligence capabilities available from specific providers.
Answer: B
Explanation:
A multicloud strategy, by its very definition, involves using multiple cloud vendors. Sticking to a single vendor is the opposite of a multicloud approach. Consistency in management and development workflows is often cited as a challenge of multicloud, not a reason for it. Organizations often have to adapt their workflows to accommodate the nuances of different cloud platforms.
The other options are common drivers for multicloud adoption:
a) The desire to leverage cutting-edge machine learning and artificial intelligence capabilities available from specific providers: Different cloud providers specialize in different areas, including AI/ML. Organizations may choose to use a multicloud approach to access the best AI/ML services from different vendors.
b) The need to achieve geographic redundancy and enhance business continuity: Distributing workloads across multiple clouds in different geographic regions enhances resilience against outages and disasters.
d) The goal of avoiding vendor lock-in and gaining more negotiating power over cloud service pricing: Using multiple vendors reduces dependency on any single provider, giving organizations more leverage in negotiations and the flexibility to switch providers if needed.

NEW QUESTION # 48
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. Leveraging Google Cloud's managed instance groups to automatically scale the number of compute instances in the Exadata VM Cluster.
  • C. Utilizing OCI's autoscaling functionality through OCI Console that allows for scaling based on performance metrics.
  • D. Manually scaling up or down the number of CPU cores allocated to the cluster's VMs via the OCI Console.
Answer: B
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 # 49
What is the next essential step on the Azure side to establish the connection after creating the FastConnect virtual circuit on the OCI side?
  • A. Configure a Network Virtual Appliance (NVA) for routing between the two cloud environments.
  • B. Establish an IPsec VPN tunnel between the Azure VNet and the OCI VCN.
  • C. Create a Virtual Network Gateway of type "ExpressRoute" and establish a connection to the OCI FastConnect virtual circuit using the service key provided by Oracle.
  • D. Create an ExpressRoute circuit and configure a private peering.
Answer: C
Explanation:
Here's a breakdown:
OCI Side: You create a FastConnect virtual circuit. Oracle provides you with a service key. This key is crucial for connecting from the Azure side.
Azure Side: You need to create an ExpressRoute Gateway. This is a specific type of Virtual Network Gateway designed for ExpressRoute connections. It's the Azure-side endpoint for the dedicated connection.
Connecting the two: You use the service key provided by Oracle during the ExpressRoute Gateway configuration to link it to the FastConnect virtual circuit. This establishes the physical connection between the two cloud environments.
Why the other options are incorrect:
a) Create an ExpressRoute circuit and configure a private peering. While you do create an ExpressRoute circuit, simply creating it isn't enough to connect to the OCI FastConnect. You need the ExpressRoute Gateway to terminate the connection and the service key to authorize it. The private peering is configured after the connection is established.
b) Establish an IPsec VPN tunnel between the Azure VNet and the OCI VCN. Oracle Interconnect for Azure uses a dedicated, private connection, not a VPN over the public internet.
c) Configure a Network Virtual Appliance (NVA) for routing between the two cloud environments. While NVAs can be used for advanced routing or security functions, they are not required for the basic establishment of the Interconnect. The direct connection through ExpressRoute and FastConnect handles the basic routing.

NEW QUESTION # 50
Which of the following statements accurately describes the IAM model in Oracle Database@Google Cloud?
  • A. Oracle IAM is the only IAM model used in the entire deployment.
  • B. Oracle IAM and Google Cloud IAM are fully integrated to provide centralized user management.
  • C. Google Cloud IAM is used to control access to both Oracle and Google Cloud resources from a single Google identity.
  • D. Oracle IAM is used for the OCI resources in the OCI pod, and Google Cloud IAM controls access to the Google Cloud resources.
Answer: D
Explanation:
This is a key aspect of the multi-cloud architecture. There is no direct, deep integration of IAM systems. Instead, each cloud provider maintains its own identity and access management:
Oracle IAM: Manages access to the Exadata infrastructure, databases, and other resources within the OCI environment (the "OCI pod").
Google Cloud IAM: Manages access to Google Cloud resources like Compute Engine, VPCs, and other services.
Users will typically have separate credentials and identities for each environment. This separation maintains clear boundaries of responsibility and control

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