Most Recent Oracle 1Z0-1109-23 Exam Dumps

To use a Kubernetes cluster in your deployment architecture on Oracle Cloud Infrastructure (OCI) with OCI DevOps service, the two recommended tools or services are: Terraform: Terraform is a widely used Infrastructure-as-Code (IaC) tool that allows you to define and manage your infra-structure resources in a declarative way. You can use Terraform to define and provision your Ku-bernetes cluster on OCI, including the necessary networking, compute resources, and container services. Ansible Collection: Ansible is an open-source automation tool that helps with configuration management, application deployment, and orchestration. The Ansible Collection for OCI provides modules and playbooks specifically designed to manage and interact with OCI resources, including Kubernetes clusters. You can use Ansible Collection to automate the deployment and management of your Kubernetes cluster on OCI. The other options mentioned are not directly related to managing Kubernetes clusters on OCI: Compute Jenkins Plug-in: Jenkins is a popular open-source automation server used for Continuous Integration/Continuous Deployment (CI/CD) processes. The Compute Jenkins Plug-in is specific to managing OCI compute resources using Jenkins but does not directly address Kubernetes cluster deployment. Chef Knife Plug-in: Chef is a configuration management tool that helps with managing infrastructure as code. The Chef Knife Plug-in is used to interact with the Chef tool, but it does not directly address Kubernetes cluster deployment on OCI. OCI Resource Manager: OCI Resource Manager is a service that helps you automate the process of deploying infrastructure resources on OCI. While it can be used to manage various OCI resources, including compute instances, it does not specifically focus on Kubernetes cluster deployment.

The correct option is: A playbook could be leveraged and executed against the group of web servers, as defined in the Inventory. Then, Ansible would connect to each server and apply the same set of configurations. In Ansible, a playbook is a YAML file that describes a series of plays and tasks to be executed against a group of hosts. The inventory file defines the group of web servers that need to be patched. By leveraging a playbook, the DevOps team can define the desired configuration or patching tasks once and apply them consistently across all the web servers in the group. An-sible will connect to each server in the inventory and execute the tasks defined in the playbook, ensuring that the desired configurations or patches are applied uniformly. This approach simplifies the management of multiple servers as the same playbook can be executed against the entire group, eliminating the need to manually configure each server individually. It also allows for automation and repeatability, ensuring that the desired changes are applied consistently and efficiently.

To securely store and version your application and automatically build, test, and deploy your application to OCI, you can choose the following OCI services:

DevOps: This service enables you to automate the software development lifecycle (SDLC) and deliver software faster and more reliably. You can use DevOps to create projects, repositories, build pipelines, deployment pipelines, triggers, and artifacts.

Oracle Cloud Infrastructure Registry: This service is a private Docker registry that allows you to store and manage your Docker images in OCI. You can use Registry to push and pull images from your local machine or from your build pipelines.

Container Engine for Kubernetes: This service is a fully-managed platform that allows you to run your containerized applications in OCI. You can use Container Engine for Kubernetes to create and manage Kubernetes clusters, pods, services, and deployments. Verified Reference: [DevOps - Oracle Cloud Infrastructure Developer Tools], [Oracle Cloud Infrastructure Registry - Oracle Cloud Infrastructure Developer Tools], [Container Engine for Kubernetes - Oracle Cloud Infrastructure Developer Tools]

The possible error you could have made when adding variables to your build_spec.yaml file that resulted in a failed build pipeline is assuming that a non-exported variable would be persistent across multiple stages of the build pipeline. In a build pipeline, variables need to be properly exported and managed to ensure their availability and persistence across different stages. If you mistakenly assumed that a non-exported variable would persist across stages, it could lead to issues where the variable is not available or its value is not maintained as expected, causing the build pipeline to fail.