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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q33-Q38):
NEW QUESTION # 33
As a DevOps engineer working on managing clusters on the OCI platform for your organization, which statement is true about managing cluster add-ons in OCI OKE Cluster?
- A. When creating a new cluster, essential cluster add-ons are set to manually update.
- B. When you disable a cluster add-on using the console, the add-on is completely removed from the cluster.
- C. When creating a new cluster, essential cluster add-ons cannot be disabled.
- D. When enabling a cluster add-on, you cannot configure the add-on by specifying one or more key/value pairs to pass as arguments to the cluster add-on.
Answer: C
Explanation:
Essential cluster add-ons are required for the basic functioning of the Kubernetes cluster and cannot be disabled during cluster creation. These add-ons provide necessary features such as core DNS, networking, and other critical functionalities for the cluster's operation.
NEW QUESTION # 34
Which statement is false about OCI Resource Manager (RM)?
- A. Resources provisioned through RM cannot be destroyed from outside of RM.
- B. RM can generate Terraform based on the resources in a compartment.
- C. RM can render custom "Application Information" pages for stacks.
- D. RM can mirror repositories from GitHub and GitLab.
Answer: A
Explanation:
Resources provisioned through OCI Resource Manager (RM) can still be modified or destroyed from outside of RM, such as using the OCI Console, CLI, or other APIs. RM manages the lifecycle of resources created by its Terraform configurations, but it does not prevent other tools or methods from modifying or deleting those resources.
NEW QUESTION # 35
A DevOps engineer is asked to access an Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) cluster to deploy new applications and manage existing ones.
Which two statements are true? (Choose two.)
- A. To access the cluster using kubectl, you have to set up a Kubernetes manifest file for the cluster. The kubeconfig file by default is named config and stored in the $HOME/.manifest directory.
- B. When a cluster's Kubernetes API endpoint has a public IP address, you can access the cluster in Cloud Shell by setting up a kubeconfig file.
- C. Generating an API signing key pair is not required while setting up cluster access using local machine if the public key is not already uploaded in the console.
- D. To access the cluster using kubectl, you have to set up a Kubernetes configuration file for the cluster. The kubeconfig file by default is named config and stored in the $HOME/.kube directory.
- E. The only available option when a cluster's Kubernetes API endpoint has a public IP address is to control the cluster locally using kubectl and the Kubernetes Dashboard.
Answer: B,D
Explanation:
To access an OKE cluster using kubectl, you need to set up a Kubernetes configuration file (kubeconfig). By default, the kubeconfig file is named config and stored in the $HOME/.kube directory.
When a cluster's Kubernetes API endpoint has a public IP address, you can use Cloud Shell to access the cluster. Setting up a kubeconfig file is required to authenticate and manage the cluster.
NEW QUESTION # 36
How can you scale a deployment named nodejs-deployment to have two replicas?
- A. kubectl scale deployment nodejs-deployment --replicas=2
- B. kubectl adjust deployment nodejs-deployment --replicas=2
- C. kubectl set replicas deployment nodejs-deployment --replicas=2
- D. kubectl resize deployment nodejs-deployment --replicas=2
Answer: A
Explanation:
The kubectl scale command is used to scale the number of replicas in a deployment. By specifying the --replicas flag, you define the desired number of replicas for the deployment.
(kubectl set replicas) is not the correct syntax for scaling a deployment.
(kubectl resize) is not a valid command for scaling a deployment.
(kubectl adjust) is also not a valid Kubernetes command.
NEW QUESTION # 37
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. Creating and managing worker nodes using OCI compute instances
- B. Using Kubernetes cluster add-ons to automate worker node management
- C. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
- D. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
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 # 38
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