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Oracle 1Z0-1109-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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.

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q41-Q46):

NEW QUESTION # 41
As a DevOps engineer working on an OCI project, you're setting up a deployment pipeline to automate your application deployments.
Which statement is false about deployment pipeline in OCI DevOps?

A. Using deployment pipeline, you can deploy helm charts in OCI Function.
B. You can add a Traffic Shift stage that routes the traffic between two environments.
C. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.
D. You can add a Wait stage that adds a specified duration of delay in the pipeline.

Answer: A

Explanation:
Helm charts are used to manage Kubernetes deployments, not OCI Functions. Helm charts are deployed to Kubernetes clusters, such as OCI Container Engine for Kubernetes (OKE), to manage containerized applications. OCI Functions are serverless and do not use Helm charts for deployment.

NEW QUESTION # 42
How can system administrators ensure that only signed images from Oracle Cloud Infrastructure Registry are deployed to a Container Engine for Kubernetes cluster?

A. By disabling access to the Container Engine for Kubernetes cluster
B. By encrypting the images using a custom encryption algorithm
C. By configuring an image verification policy for the cluster
D. By manually inspecting each image before deployment

Answer: C

Explanation:
Image verification policies are used to ensure that only trusted and signed images are deployed to an Oracle Kubernetes Engine (OKE) cluster. By configuring such policies, administrators can enforce that images must be signed and come from trusted sources, such as the Oracle Cloud Infrastructure Registry.

NEW QUESTION # 43
The Kubernetes Master node serves as the central control plane for managing the cluster's resources and orchestrating workload deployment.
What are the primary responsibilities of the Kubernetes Master node?

A. The Master node monitors network traffic within the cluster, ensuring secure communication and efficient data transfer between nodes.
B. The Master node serves as a repository for storing container images, facilitating rapid deployment and scaling of applications.
C. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
D. The Master node oversees the scheduling and allocation of cluster resources, ensuring optimal utilization across nodes.

Answer: D

Explanation:
The Kubernetes Master node is the central control plane responsible for managing the cluster's resources and orchestrating workload deployment. Its primary responsibilities include:
Scheduling: Deciding which workloads (pods) should run on which worker nodes, based on resource availability and scheduling constraints.
Resource Allocation: Allocating resources to workloads to ensure optimal utilization across nodes.
Cluster Management: Maintaining the desired state of applications, managing cluster events, and ensuring that all the components of the cluster are functioning properly.

NEW QUESTION # 44
You host your application on a stack in Oracle Cloud Infrastructure (OCI) Resource Manager. Because of recent growth in your user base, you decide to add a CIDR block to your VCN, add a subnet, and provision a compute instance in it.
Which statement is true?

A. You can make the changes to the Terraform code, run a Drift Detection job, and Resource Manager will provision the new resources.
B. You need to provision the new resources in the OCI console first, then add them later to the Terraform configuration and state.
C. You can make the changes to the Terraform code, run an Apply job, and Resource Manager will provision the new resources.
D. You need to provision a new stack because Terraform uses immutable infrastructure.

Answer: C

Explanation:
Oracle Cloud Infrastructure (OCI) Resource Manager uses Terraform to manage infrastructure resources. If you need to add new resources (e.g., a new CIDR block, subnet, and compute instance), you can simply make the necessary changes to the Terraform code defining the stack.
After modifying the Terraform configuration to include the new resources, you can run an Apply job in Resource Manager. The Apply job will provision the new resources in your OCI environment according to the updated Terraform code.

NEW QUESTION # 45
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. By selecting a virtual node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries are included in the application container
B. By selecting a managed node pool, a GPU shape, and a GPU image, and specifying the number of CPU resources required in the pod spec
C. By selecting a managed node pool, a GPU shape, and a GPU image that has CUDA libraries pre-installed, and specifying the number of GPU resources required in the pod spec
D. By selecting a managed node pool, a GPU shape, and a GPU image, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes

Answer: C

Explanation:
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.

NEW QUESTION # 46
......

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Pass Guaranteed Quiz Oracle - 1Z0-1109-25–Trustable Valid Test Prep

1Z0-1109-25 Exam Learning & New 1Z0-1109-25 Test Vce

Oracle 1Z0-1109-25 Exam Syllabus Topics:

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q41-Q46):

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