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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q11-Q16):
NEW QUESTION # 11
You're using Oracle Cloud Infrastructure (OCI) DevOps service to automate your software releases to release features more frequently and with fewer errors. While deploying an update to production, one of your deployment stages failed.
What action should you perform in your Deployment Pipeline?
- A. Automate back up and use the rerelease stage in the Deployment Pipeline.
- B. Roll back the failed stage in the pipeline to the previous successful released version
- C. Use OCI DevOps Trigger and Rerun tool to avoid downtime.
- D. Add Rescue and Trigger stages to automatically trigger the failed deployment.
Answer: B
Explanation:
When a deployment stage fails in a OCI DevOps Deployment Pipeline, the recommended approach is to roll back to the previous successful version to ensure that the production environment remains in a stable state. This approach minimizes disruption and ensures that your system continues to function properly while the issue with the failed deployment is investigated and fixed.
NEW QUESTION # 12
How can you scale a deployment named nodejs-deployment to have two replicas?
- A. kubectl resize deployment nodejs-deployment --replicas=2
- B. kubectl adjust deployment nodejs-deployment --replicas=2
- C. kubectl scale deployment nodejs-deployment --replicas=2
- D. kubectl set replicas deployment nodejs-deployment --replicas=2
Answer: C
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 # 13
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 Kubernetes cluster add-ons to automate worker node 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 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 # 14
You are using the Oracle Cloud Infrastructure (OCI) DevOps service and you have successfully built and tested your software applications in your Build Pipeline. The resulting output needs to be stored in a container repository.
Which stage should you add next to your Build Pipeline?
- A. Export packages
- B. Trigger deployment
- C. Deliver artifacts
- D. Managed build
Answer: C
Explanation:
Step 1: Understanding the Requirement
The objective is to store the resulting build output from a Build Pipeline in a container repository. In OCI DevOps, the build output is stored as an artifact, which can include Docker images or other build-generated files. To store these artifacts in a container repository, you need to explicitly deliver artifacts in the pipeline.
Step 2: Explanation of the Options
A . Trigger deployment
This stage is used to trigger a deployment pipeline, which comes after the artifacts are already stored and prepared for deployment.
Not applicable: This stage is downstream of storing artifacts and is used for deploying software, not for saving the build output to a repository.
B . Managed build
The managed build stage is where you compile, test, and package the application. This has already been completed successfully according to the question.
Not applicable: The question specifies that the build has been completed, so this stage is not relevant at this point.
C . Deliver artifacts
The Deliver Artifacts stage in OCI DevOps pipelines is designed to store the output of the build process in an artifact repository, such as:
OCI Container Registry (OCIR) for Docker images.
Artifact Registry for build artifacts like binaries or JAR files.
Applicable and Correct answer: This is the correct next step for storing the resulting D . Export packages This is not a standard OCI DevOps pipeline stage. It may be relevant in other contexts but is not related to OCI DevOps for storing build artifacts.
Step 3: Key Concepts of "Deliver Artifacts" in OCI DevOps
Purpose: Save build outputs (artifacts) to an artifact repository.
Artifact Types: Includes Docker container images, binaries, JAR files, or other build outputs.
Repositories Supported:
OCI Container Registry (OCIR)
OCI Artifact Registry
Configuration:
Specify the artifact source (build stage output).
Define the destination repository (e.g., OCIR).
Step 4: References and OCI Resources
OCI DevOps Build Pipelines:
Build Pipeline Documentation
Deliver Artifacts Stage
OCI Container Registry (OCIR):
OCI Container Registry Overview
OCI Artifact Registry:
OCI Artifact Registry Overview
NEW QUESTION # 15
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 you disable a cluster add-on using the console, the add-on is completely removed from the cluster.
- B. When creating a new cluster, essential cluster add-ons cannot be disabled.
- C. When creating a new cluster, essential cluster add-ons are set to manually update.
- 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: B
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 # 16
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