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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q29-Q34):
NEW QUESTION # 29
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. Defined variables as exportedVariables to make them available in subsequent stages of the same pipeline
- B. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage
- C. Defined parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline
- D. Used vaultVariable to hold the content of the vault secrets in Base64 format
Answer: C
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 # 30
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 # 31
As a DevOps Engineer, you are tasked with securely storing and versioning your application's source code and automatically build, test, and deploy your application to Oracle Cloud Infrastructure (OCI) platform.
You are told to automate manual tasks and help software teams in managing complex environments at scale.
Which three OCI services can you choose to accomplish these tasks? (Choose three.)
- A. Oracle Cloud Logging Analytics
- B. Container Engine for Kubernetes
- C. DevOps project
- D. Oracle APEX Application Development
- E. Oracle Cloud Infrastructure Registry
Answer: B,C,E
Explanation:
Oracle Cloud Infrastructure Registry: This service allows you to securely store container images. It is essential for managing the container images used for deployment, making it an important part of the DevOps workflow.
DevOps project: OCI DevOps project is specifically designed to manage the CI/CD pipeline. It helps in automating tasks like building, testing, and deploying applications, which are key activities for managing complex environments and promoting agility in software development.
Container Engine for Kubernetes: Oracle Container Engine for Kubernetes (OKE) is used to deploy applications in a containerized environment. It provides a robust platform for deploying, managing, and scaling containerized applications, which is essential for handling complex environments at scale.
NEW QUESTION # 32
An operations team wants to leverage the advanced features of Container Engine for Kubernetes (OKE) and requires granular control over cluster add-ons, workload identity, and improved worker node management. They also prioritize strong security measures and require a financially-backed service level agreement (SLA) for Kubernetes API server uptime.
Which type of cluster should they choose to meet their requirements?
- A. Specialized clusters
- B. Virtual clusters
- C. Enhanced clusters
- D. Federated clusters
Answer: C
Explanation:
Enhanced clusters in Oracle Container Engine for Kubernetes (OKE) provide advanced features such as granular control over cluster add-ons, workload identity, and improved worker node management. They also offer strong security measures and come with a financially-backed service level agreement (SLA) for Kubernetes API server uptime, ensuring higher reliability and support for production workloads.
NEW QUESTION # 33
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 monitors network traffic within the cluster, ensuring secure communication and efficient data transfer between nodes.
- B. The Master node serves as a repository for storing container images, facilitating rapid deployment and scaling of applications.
- C. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
- 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 # 34
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