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Oracle 1Z0-1109-25 Reliable Exam Bootcamp | 1Z0-1109-25 Latest Exam Duration

Oracle 1Z0-1109-25 Reliable Exam Bootcamp | 1Z0-1109-25 Latest Exam Duration

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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q41-Q46):

NEW QUESTION # 41
As a DevOps engineer working on containerizing a microservices-based application to be hosted on OCI Cloud platforms, which step can help ensure that the container images have not been modified after being pushed to Oracle Cloud Infrastructure Registry (OCIR)?

  • A. Enabling scanning of container images stored in OCI Registry
  • B. Scanning the image upon ingestion and comparing the image size for changes
  • C. Signing the image using the Container Registry CLI and creating an image signature that associates the image with the master encryption key and key version in the Vault service
  • D. Deploying a manifest to the Kubernetes cluster that references the container image and its unique hash

Answer: C

Explanation:
To ensure that container images have not been modified after being pushed to the Oracle Cloud Infrastructure Registry (OCIR), you should sign the image. This involves using the Container Registry CLI to create a digital signature for the image, which associates the image with a master encryption key and key version stored in the OCI Vault service. This signature can then be verified at the time of deployment, ensuring that the image has not been tampered with since it was signed.


NEW QUESTION # 42
A DevOps team is deploying a new version of their application to their production environment using the Canary deployment strategy in the OCI DevOps service. They want to ensure that the production environment is not affected by any potential issues caused by the new version.
Which statement is true in regards to the Canary deployment strategy?

  • A. The Canary deployment strategy only supports pipeline redeployment for OKE and not for instance group deployments.
  • B. The Shift Traffic stage in the Canary deployment strategy shifts the entire 100% of the production traffic to the Canary environment.
  • C. The Production stage in the Canary deployment strategy deploys the new version to the production environment without any manual approval.
  • D. The Invoke Function stage is an optional stage that can be used to validate the new version before moving to the production environment.

Answer: D

Explanation:
In a Canary deployment strategy, a new version of an application is rolled out to a small subset of the production environment (the canary) first, while the majority of the production environment still runs the current stable version. This approach helps to detect potential issues before the new version is fully deployed.
The Invoke Function stage can be used as an optional step in the deployment pipeline to run additional validation (e.g., automated tests or other checks) on the new version before gradually shifting more traffic to it or moving to full production deployment.


NEW QUESTION # 43
You are a DevOps engineer working on a project that requires you to push and pull Docker images to and from Oracle Cloud Infrastructure Registry (Container Registry) using Docker CLI. You have been given access to Container Registry and have installed Docker CLI on your local machine.
Which should you create and use to securely authenticate and store your Docker image in a private Docker registry in OCI?

  • A. Auth Token
  • B. JSON Web Token
  • C. SSH Key Pair
  • D. Master Encryption Key in OCI Vault

Answer: A

Explanation:
To authenticate with the Oracle Cloud Infrastructure Registry (Container Registry) when using the Docker CLI, you need to use an Auth Token. The Auth Token is created in the OCI console and acts as a password for the Docker login command, providing secure access to the container registry.


NEW QUESTION # 44
Why is it important to extract output artifacts from the Oracle Cloud Infrastructure (OCI) DevOps build pipeline and store them in an Artifact Registry repository?

  • A. Storing build artifacts in registries helps the deployment pipeline differentiate output artifacts created by the build pipeline from artifacts copied from a Git repository.
  • B. Output artifacts aren't permanent. If they are to be used in the Deliver Artifacts stage, they need to be exported as output artifacts to a registry.
  • C. All artifacts are permanently stored in the build pipeline. Extracting just the ones required for deployment tells the deployment pipeline which artifacts to use.
  • D. Deliver Artifacts is a required stage of the build pipeline, and the entire pipeline won't work if it is not included in order to extract artifacts after the Managed Build stage.

Answer: B

Explanation:
In OCI DevOps Build Pipeline, the output artifacts generated during the build are temporary and will be discarded unless explicitly stored in a persistent location. By extracting and storing these artifacts in an Artifact Registry (such as OCI Artifact Registry or OCI Container Registry), you ensure that they are available for subsequent stages, such as deployment.
Storing artifacts in a registry provides a persistent location where the deployment pipeline can access them, ensuring the artifacts are available for reliable deployment.


NEW QUESTION # 45
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 # 46
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