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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q51-Q56):
NEW QUESTION # 51
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?
Answer: D
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 # 52
An operations team is exploring the use of OCI Container Instances to run their container workloads without managing servers.
Which of the following statements is false regarding the use of Container Instances?
Answer: A
Explanation:
OCI Container Instances are a serverless compute service that allows you to run containerized workloads without managing the underlying infrastructure. Oracle Cloud Infrastructure (OCI) manages provisioning, patching, and all the ongoing server management tasks, providing a fully managed environment.
NEW QUESTION # 53
As a DevOps Engineer, you are tasked with explaining the key concepts of Terraform to a new team member. You want to ensure they understand the fundamental concepts of Terraform.
Which of the following best describes the purpose of Terraform variables?
Answer: C
Explanation:
Terraform variables are used to define input values for Terraform configurations. They allow users to customize infrastructure deployments by providing different values without modifying the configuration files themselves. Variables help in creating reusable infrastructure code, making it easy to maintain and adjust the infrastructure setup according to different environments or needs.
NEW QUESTION # 54
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?
Answer: C
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 # 55
As a DevOps engineer working on a CI/CD pipeline for your company's application, you have completed code analysis, image scanning, and automated testing.
What is the next step to ensure a secure and reliable deployment?
Answer: B
Explanation:
After completing code analysis, image scanning, and automated testing, the next step in the CI/CD pipeline should include a manual review to ensure that all necessary security and quality checks have been performed correctly. Adding an approval stage helps ensure that a secure and reliable deployment is achieved by requiring human verification and approval before proceeding with the deployment to production.
This step adds an extra layer of control to prevent unintended issues from moving forward without further review. It is a common practice in CI/CD pipelines to have an approval step, especially for critical deployments.
NEW QUESTION # 56
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