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[General] Buy Oracle 1Z0-1109-25 Latest Dumps Today and Save Money with Free Updates

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【General】 Buy Oracle 1Z0-1109-25 Latest Dumps Today and Save Money with Free Updates

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Oracle 1Z0-1109-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Managing Containers Using Container Orchestration Engine: This part assesses the abilities of Kubernetes Administrators and Containerization Specialists in managing Oracle Container Engine for Kubernetes (OKE). It covers cluster creation, scaling, upgrades, networking, storage, and security configurations to optimize containerized applications in OCI environments.
Topic 2
  • Configuring and Managing Continuous Integration and Continuous Delivery (CI
  • CD): This section tests the knowledge of CI
  • CD Engineers and Automation Specialists in automating the software lifecycle using OCI DevOps Service. It includes managing source code repositories, configuring build
  • deployment pipelines, and creating artifacts for automated deployments across environments.
Topic 3
  • Understand DevOps Principles and Effectively Work with Containerization Services: This section of the exam measures the skills of DevOps Engineers and Cloud Architects in applying DevOps methodologies and containerization practices. It covers implementing a microservices architecture, creating Docker containers, and managing Oracle Cloud Infrastructure Registry (OCIR) and Container Instances to streamline application deployment and scalability.
Topic 4
  • Using Code and Templates for Provisioning and Configuring Infrastructure: This domain evaluates the expertise of DevOps Engineers and Infrastructure Architects in deploying infrastructure using Infrastructure as Code (IaC) tools like Terraform. It focuses on automating resource provisioning with OCI Resource Manager to ensure consistent and efficient infrastructure setups.
Topic 5
  • Enabling DevSecOps: This domain measures the skills of Security Engineers and DevSecOps Practitioners in integrating security into DevOps workflows. It includes managing encryption keys with OCI Vault, securing CI
  • CD pipelines, and ensuring container image security to align with DevSecOps best practices.

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q19-Q24):NEW QUESTION # 19
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. Master Encryption Key in OCI Vault
  • B. SSH Key Pair
  • C. Auth Token
  • D. JSON Web Token
Answer: C
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 # 20
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 Kubernetes cluster add-ons to automate worker node 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 # 21
In Kubernetes clusters created by Container Engine for Kubernetes, how is data in etcd encrypted at rest by default?
  • A. Using encryption keys managed by the user
  • B. Using encryption keys managed by Oracle using a master encryption key
  • C. Encryption using TLS certificates
  • D. No encryption applied
Answer: B
Explanation:
In Kubernetes clusters created by Oracle Container Engine for Kubernetes (OKE), data in etcd (the key-value store that holds cluster state and configuration data) is encrypted at rest by default using encryption keys managed by Oracle. Oracle manages the encryption using a master encryption key to protect sensitive data.

NEW QUESTION # 22
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 parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline
  • C. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage
  • D. Used vaultVariable to hold the content of the vault secrets in Base64 format
Answer: B
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 # 23
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. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
Answer: C,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.

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