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| Vendor: | Oracle |
|---|---|
| Exam Code: | 1Z0-1109-25 |
| Exam Name: | Oracle Cloud Infrastructure 2025 DevOps Professional |
| Exam Questions: | 50 |
| Last Updated: | August 24, 2026 |
| Related Certifications: | Oracle Cloud , Oracle Cloud Infrastructure |
| Exam Tags: | Intermediate Level Oracle DevSecOps Professionals and Engineers |
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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.
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?
To run applications on GPU worker nodes in Oracle Kubernetes Engine (OKE), you need to:
Select a managed node pool and choose a GPU shape for the worker nodes.
Use a GPU image that has the necessary CUDA libraries pre-installed to ensure that GPU workloads can be executed properly.
In the pod specification, specify the number of GPU resources required for the container to utilize the GPU hardware during execution. This allows Kubernetes to schedule the pod on a node with an available GPU.
As a developer working on a software project to be deployed on OKE, you have created a Helm chart for your application. You want to deploy the chart using OCI DevOps service.
Which statement is true about deploying a Helm Chart using OCI DevOps service?
OCI DevOps service can be used to deploy Helm charts for Kubernetes-based applications running on Oracle Kubernetes Engine (OKE). For deploying the Helm chart through the OCI DevOps service, the Helm chart must be stored in the OCI Container Registry. This allows the OCI DevOps service to easily access the Helm chart during the deployment process.
How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications?
OCI DevOps Deployment Pipelines automate the process of deploying applications to production environments. By using automated, repeatable deployment processes, they help reduce the risk of change-driven errors, which are often introduced during manual deployments. This automation reduces human errors and ensures consistency across environments, thus minimizing complexity and risk in production.
Which command creates the docker registry secret required in the application manifests for OKE to pull images from Oracle Cloud Infrastructure Registry?
A)

B)

C)

D)

To create a Docker registry secret to pull images from the Oracle Cloud Infrastructure Registry (OCIR), you need to specify the correct parameters such as the region key, namespace, OCI username, and OCI authentication token.
Chosen command is correct because:
The kubectl create secret docker-registry command creates a Docker registry secret.
The --docker-server=<region-key>.ocir.io specifies the correct endpoint for OCIR.
The --docker-username=<tenancy-namespace>/<oci-username> provides both the tenancy namespace and the OCI username, which is the required format for authentication with OCIR.
The --docker-password='<oci-auth-token>' specifies the OCI auth token, which acts as a password for authentication.
The --docker-email=<email-address> is also included.
The other commands have errors, such as missing tenancy namespace or using incorrect flags (passwd instead of secret).
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