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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q17-Q22):

NEW QUESTION # 17
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 specifying the number of CPU resources required in the pod spec
B. 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
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, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes

Answer: B

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 # 18
While adding variables to your build_spec.yaml file, you made a mistake that resulted in a failed build pipeline.
What is the error you could have made?

A. Used vaultVariable to hold the content of the vault secrets in Base64 format
B. Defined parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline
C. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage
D. Defined variables as exportedVariables to make them available in subsequent stages of the same pipeline

Answer: B

Explanation:
In build_spec.yaml for OCI DevOps, variables must be correctly defined and used according to the specification. If you defined parameters using ${VARIABLE_NAME} and then attempted to assign their values through the Parameters tab in the build pipeline, you may have introduced an error. The syntax and usage of parameters must be properly defined in both the build_spec.yaml and the build pipeline interface.

NEW QUESTION # 19
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?

A. Terraform variables are used to manage the life cycle of Terraform resources.
B. Terraform variables are used to define the structure and organization of Terraform configuration files.
C. Terraform variables are used to output the final state of the infrastructure after deployment.
D. Terraform variables are used to define input values for Terraform configurations, allowing for customization and reuse of infrastructure code.

Answer: D

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 # 20
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 managed nodes with cluster autoscalers to eliminate worker node infrastructure management
B. Creating and managing worker nodes using OCI compute instances
C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
D. Using Kubernetes cluster add-ons to automate worker node management

Answer: C

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 # 21
Observability helps understand system behavior, but it has limitations.
Which of the following tasks cannot be accomplished solely through observability?

A. Identifying infrastructure bottlenecks
B. Automating software deployments
C. Optimizing resource utilization
D. Identifying resource consumption

Answer: B

Explanation:
Observability refers to the ability to understand a system's internal state by observing its outputs. It involves metrics, logs, and tracing to provide insights into the system's behavior, which helps in monitoring and identifying issues.

NEW QUESTION # 22
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