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Oracle Cloud Infrastructure 2025 DevOps Professional test for engine, 1Z0-1109-25 VCE test engine

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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which two are prerequisites for creating a secret in Oracle Cloud Infrastructure Vault service? (Choose two.)

A. The user must create a compute instance to run the secret service.
B. You must have the required permissions to create and manage secrets in the Vault service.
C. You must first create a hash digest of the secret value.
D. You must have a Vault managed key to encrypt the secret.
E. You must have an auth token to encrypt the secret.

Answer: B,D

Explanation:
You need the required permissions (such as policies allowing secret management) to create and manage secrets in Oracle Cloud Infrastructure (OCI) Vault service. These permissions are essential for performing operations such as creating, reading, and managing secrets.
Vault managed key is required to encrypt the secret before it is stored in the OCI Vault. The managed key acts as the encryption key for securing the secret, ensuring its confidentiality.

NEW QUESTION # 40
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. Managed build
D. Deliver artifacts

Answer: D

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 # 41
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 configuration file for the cluster. The kubeconfig file by default is named config and stored in the $HOME/.kube 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. 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.
D. 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.
E. 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.

Answer: A,B

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 # 42
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?

A. Add a traffic Shift stage to route the traffic between two sets ofbackend IPs.
B. Add an invoke function stage to run code or custom logic in a serverless manner.
C. Add a shell stage to run custom commands in the deployment pipeline.
D. Add an approval stage to pause the deployment for a specified duration for manual decision from the approver.

Answer: D

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 # 43
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 # 44
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