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1Z0-1109-25 - Oracle Cloud Infrastructure 2025 DevOps Professional–High-quality Reliable Exam Prep

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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
As a cloud engineer, you are responsible for managing a Kubernetes cluster on the Oracle Cloud Infrastructure (OCI) platform for your organization. You are looking for ways to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing the worker node infrastructure.
Which cluster option is the best fit for your requirement?

A. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
B. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
C. Creating and managing worker nodes using OCI compute instances
D. Using Kubernetes cluster add-ons to automate worker node management

Answer: A

Explanation:
Step 1: Understanding the Requirement
The goal is to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing worker node infrastructure. In this context, a solution is needed that abstracts away the complexity of managing, scaling, and maintaining worker nodes.
Step 2: Explanation of the Options
A . Using OCI OKE managed nodes with cluster autoscalers
While this option provides managed node pools and uses cluster autoscalers to adjust resources based on demand, it still requires some level of management for the underlying worker nodes (e.g., patching, upgrading, monitoring).
Operational overhead: Moderate.
B . Using OCI OKE virtual nodes
Virtual nodes in OCI OKE are a serverless option for running Kubernetes pods. They remove the need to manage underlying worker nodes entirely.
OCI provisions resources dynamically, allowing scaling based purely on pod demand.
There's no need for node management, patching, or infrastructure planning, which perfectly aligns with the requirement to minimize operational overhead.
Operational overhead: Minimal.
Best Fit for This Scenario: Since the requirement emphasizes minimizing operational overhead, this is the ideal solution.
C . Using Kubernetes cluster add-ons to automate worker node management Kubernetes add-ons like Cluster Autoscaler or Node Problem Detector help in automating some aspects of worker node management. However, this still requires managing worker node infrastructure at the core level.
Operational overhead: Moderate to high.
D . Creating and managing worker nodes using OCI compute instances
This involves manually provisioning and managing compute instances for worker nodes, including scaling, patching, and troubleshooting.
Operational overhead: High.
Not Suitable for the Requirement: This option contradicts the goal of minimizing operational overhead.
Step 3: Why Virtual Nodes Are the Best Fit
Virtual Nodes in OCI OKE:
Virtual nodes provide serverless compute for Kubernetes pods, allowing users to run workloads without provisioning or managing worker node infrastructure.
Scaling: Pods are automatically scheduled, and the required infrastructure is dynamically provisioned behind the scenes.
Cost Efficiency: You only pay for the resources consumed by the running workloads.
Use Case Alignment: Eliminating the burden of worker node infrastructure management while ensuring Kubernetes reliability at scale.
Step 4: References and OCI Resources
OCI Documentation:
OCI Kubernetes Virtual Nodes
OCI Container Engine for Kubernetes Overview
Best Practices for Kubernetes on OCI:
Best Practices for OCI Kubernetes Clusters

NEW QUESTION # 35
You host your application on a stack in Oracle Cloud Infrastructure (OCI) Resource Manager. Because of recent growth in your user base, you decide to add a CIDR block to your VCN, add a subnet, and provision a compute instance in it.
Which statement is true?

A. You can make the changes to the Terraform code, run a Drift Detection job, and Resource Manager will provision the new resources.
B. You need to provision a new stack because Terraform uses immutable infrastructure.
C. You can make the changes to the Terraform code, run an Apply job, and Resource Manager will provision the new resources.
D. You need to provision the new resources in the OCI console first, then add them later to the Terraform configuration and state.

Answer: C

Explanation:
Oracle Cloud Infrastructure (OCI) Resource Manager uses Terraform to manage infrastructure resources. If you need to add new resources (e.g., a new CIDR block, subnet, and compute instance), you can simply make the necessary changes to the Terraform code defining the stack.
After modifying the Terraform configuration to include the new resources, you can run an Apply job in Resource Manager. The Apply job will provision the new resources in your OCI environment according to the updated Terraform code.

NEW QUESTION # 36
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?

A. Oracle Kubernetes (OKE)
B. Virtual machine compute instance
C. Bare metal compute instance
D. Functions

Answer: D

Explanation:
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.

NEW QUESTION # 37
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. By selecting a managed node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes
B. By selecting a managed node pool, a GPU shape, and a GPU image, and specifying the number of CPU resources required in the pod spec
C. By selecting a virtual node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries are included in the application container
D. By selecting a managed node pool, a GPU shape, and a GPU image that has CUDA libraries pre-installed, and specifying the number of GPU resources required in the pod spec

Answer: D

Explanation:
To run applications on GPU worker nodes in Oracle Kubernetes Engine (OKE), you need to:
Select a managed node pool and choose a GPU shape for the worker nodes.
Use a GPU image that has the necessary CUDA libraries pre-installed to ensure that GPU workloads can be executed properly.
In the pod specification, specify the number of GPU resources required for the container to utilize the GPU hardware during execution. This allows Kubernetes to schedule the pod on a node with an available GPU.

NEW QUESTION # 38
The Kubernetes Master node serves as the central control plane for managing the cluster's resources and orchestrating workload deployment.
What are the primary responsibilities of the Kubernetes Master node?

A. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
B. The Master node serves as a repository for storing container images, facilitating rapid deployment and scaling of applications.
C. The Master node monitors network traffic within the cluster, ensuring secure communication and efficient data transfer between nodes.
D. The Master node oversees the scheduling and allocation of cluster resources, ensuring optimal utilization across nodes.

Answer: D

Explanation:
The Kubernetes Master node is the central control plane responsible for managing the cluster's resources and orchestrating workload deployment. Its primary responsibilities include:
Scheduling: Deciding which workloads (pods) should run on which worker nodes, based on resource availability and scheduling constraints.
Resource Allocation: Allocating resources to workloads to ensure optimal utilization across nodes.
Cluster Management: Maintaining the desired state of applications, managing cluster events, and ensuring that all the components of the cluster are functioning properly.

NEW QUESTION # 39
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