1Z0-1109-25 Exam Questions & Answers
Oracle Cloud Infrastructure 2025 DevOps Professional • Oracle
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Sample 1Z0-1109-25 Questions
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An operations team wants to leverage the advanced features of Container Engine for Kubernetes (OKE) and requires granular control over cluster add-ons, workload identity, and improved worker node management. They also prioritize strong security measures and require a financially-backed service level agreement (SLA) for Kubernetes API server uptime.
Which type of cluster should they choose to meet their requirements?
Enhanced clusters in Oracle Container Engine for Kubernetes (OKE) provide advanced features such as granular control over cluster add-ons, workload identity, and improved worker node management. They also offer strong security measures and come with a financially-backed service level agreement (SLA) for Kubernetes API server uptime, ensuring higher reliability and support for production workloads.
Your team is working on a project to deploy a microservices-based application on a cloud platform using Terraform. Each microservice has specific configurations and dependencies, and you want to ensure modularity, reusability, and consistency across deployments.
Which Terraform feature would you use to achieve these objectives efficiently?
Terraform Modules are used to organize and group related configuration resources into reusable components. By using modules, you can achieve modularity, reusability, and consistency across different deployments, making it easier to manage complex infrastructure setups.
For a microservices-based application, where each microservice has specific configurations and dependencies, modules allow you to define the infrastructure for each microservice in a modular way. This helps to maintain clean, reusable code and ensures consistency across deployments.
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.
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 team wants to deploy artificial intelligence and machine learning workloads in their OCI Container Engine for Kubernetes (OKE) cluster. They prioritize strong isolation, cost-efficiency, and the ability to leverage serverless capabilities.
Which solution is best suited for their requirements?
Virtual nodes in OKE provide a serverless experience for deploying Kubernetes workloads, which means you do not have to manage or scale the underlying infrastructure. This solution is particularly cost-efficient because you only pay for the resources used by the pods, and it provides strong isolation for workloads.
Virtual nodes are well suited for AI/ML workloads as they allow users to easily scale compute resources without being constrained by the limits of individual worker nodes.
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