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Get All Oracle Cloud Infrastructure 2025 DevOps Professional Exam Questions with Validated Answers
| Vendor: | Oracle |
|---|---|
| Exam Code: | 1Z0-1109-25 |
| Exam Name: | Oracle Cloud Infrastructure 2025 DevOps Professional |
| Exam Questions: | 50 |
| Last Updated: | April 16, 2026 |
| Related Certifications: | Oracle Cloud , Oracle Cloud Infrastructure |
| Exam Tags: | Intermediate Level Oracle DevSecOps Professionals and Engineers |
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As a DevOps Engineer, you are tasked with securely storing and versioning your application's source code and automatically build, test, and deploy your application to Oracle Cloud Infrastructure (OCI) platform.
You are told to automate manual tasks and help software teams in managing complex environments at scale.
Which three OCI services can you choose to accomplish these tasks? (Choose three.)
Oracle Cloud Infrastructure Registry: This service allows you to securely store container images. It is essential for managing the container images used for deployment, making it an important part of the DevOps workflow.
DevOps project: OCI DevOps project is specifically designed to manage the CI/CD pipeline. It helps in automating tasks like building, testing, and deploying applications, which are key activities for managing complex environments and promoting agility in software development.
Container Engine for Kubernetes: Oracle Container Engine for Kubernetes (OKE) is used to deploy applications in a containerized environment. It provides a robust platform for deploying, managing, and scaling containerized applications, which is essential for handling complex environments at scale.
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?
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.
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.
As a DevOps engineer at XYZ Corp, you have been assigned the task of setting up a new OKE (Oracle Kubernetes Engine) cluster to manage the organization's Kubernetes applications hosted on Oracle Cloud Infrastructure (OCI). Your goal is to ensure a smooth and efficient process while preparing for the cluster creation.
Which of the following statements is false regarding the preparation process for setting up a new OKE cluster?
This statement is false because Container Engine for Kubernetes (OKE) can utilize existing network resources such as Virtual Cloud Networks (VCNs), subnets, security lists, and route tables for the creation of a new cluster. You can either use pre-existing network resources or let OKE create new network resources automatically.
You're using Oracle Cloud Infrastructure (OCI) DevOps to automate your application deployment for frequent releases. In one of your automation steps, you'll create a deployment pipeline.
What does this deployment pipeline do in OCI DevOps?
A deployment pipeline in OCI DevOps is used to automate the deployment of application artifacts to a target environment. It is a sequence of stages that includes steps such as approvals, traffic shifts, manual interventions, and the actual deployment of the artifacts to environments like Kubernetes clusters or compute instances.
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