100% Pass 2025 1Z0-1109-25: Oracle Cloud Infrastructure 2025 DevOps Professional Accurate Valid Test Simulator

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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.
Topic 4	Using Code and Templates for Provisioning and Configuring Infrastructure: This domain evaluates the expertise of DevOps Engineers and Infrastructure Architects in deploying infrastructure using Infrastructure as Code (IaC) tools like Terraform. It focuses on automating resource provisioning with OCI Resource Manager to ensure consistent and efficient infrastructure setups.

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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q16-Q21):

NEW QUESTION # 16
An operations team is exploring the use of OCI Container Instances to run their container workloads without managing servers.
Which of the following statements is false regarding the use of Container Instances?

A. Billing for Container Instances is based on the allocated CPU and memory resources for each container instance.
B. The underlying infrastructure for Container Instances is fully managed and hardened by OCI, ensuring reliability and security.
C. Container Instances provide a serverless compute service for running containers, eliminating the need for server management.
D. Container Instances require the team to perform provisioning, patching, and ongoing management of servers.

Answer: D

Explanation:
OCI Container Instances are a serverless compute service that allows you to run containerized workloads without managing the underlying infrastructure. Oracle Cloud Infrastructure (OCI) manages provisioning, patching, and all the ongoing server management tasks, providing a fully managed environment.

NEW QUESTION # 17
As an engineer building and deploying applications using an OCI DevOps project, which two capabilities can help ensure the security and reliability of the code in the build and deployment pipelines? (Choose two.)

A. Using version control tools like Git or SVN to track and manage changes in the codebase
B. Using third-party tools like Sonatype, SonarQube, or OverOps to analyze code for security defects or bugs in code quality
C. Using Application Dependency Management (ADM) to identify security weaknesses in software applications by checking their dependencies
D. Using JIRA to track user stories and bug fixes in the development process
E. Using third-party tools like Ansible, Terraform, or OverOps to analyze code for security defects or bugs in code quality

Answer: B,C

Explanation:
Application Dependency Management (ADM) is a tool used to identify security weaknesses in software applications by analyzing their dependencies. Dependencies can often introduce vulnerabilities, and managing them properly is a critical part of ensuring application security.
Third-party tools like Sonatype and SonarQube can be used to analyze code for security defects or bugs in code quality. These tools help in identifying vulnerabilities, code smells, and other issues, which can improve the overall security and reliability of the code during the build process.

NEW QUESTION # 18
You have been asked to provision a new production environment on Oracle Cloud Infrastructure (OCI). After working with the solution architect, you decide that you are going to automate this process.
Which OCI service can help automate the provisioning of this new environment?

A. Oracle Functions
B. OCI Streaming Service
C. Oracle Container Engine for Kubernetes
D. OCI Resource Manager

Answer: D

Explanation:
OCI Resource Manager is an infrastructure as code (IaC) service that allows you to automate the provisioning of resources on Oracle Cloud Infrastructure (OCI) using Terraform. It is ideal for automating the setup of environments, as it can manage the full lifecycle of your infrastructure in a consistent, repeatable, and version-controlled manner.

NEW QUESTION # 19
As a cloud engineer, you are responsible for managing a Kubernetes cluster on the Oracle Cloud Infrastructure (OCI) platform for your organization. You are looking for ways to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing the worker node infrastructure.
Which cluster option is the best fit for your requirement?

A. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
B. Using Kubernetes cluster add-ons to automate worker node management
C. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
D. Creating and managing worker nodes using OCI compute instances

Answer: A

Explanation:
Step 1: Understanding the Requirement
The goal is to ensure reliable operations of Kubernetes at scale while minimizing the operational overhead of managing worker node infrastructure. In this context, a solution is needed that abstracts away the complexity of managing, scaling, and maintaining worker nodes.
Step 2: Explanation of the Options
A . Using OCI OKE managed nodes with cluster autoscalers
While this option provides managed node pools and uses cluster autoscalers to adjust resources based on demand, it still requires some level of management for the underlying worker nodes (e.g., patching, upgrading, monitoring).
Operational overhead: Moderate.
B . Using OCI OKE virtual nodes
Virtual nodes in OCI OKE are a serverless option for running Kubernetes pods. They remove the need to manage underlying worker nodes entirely.
OCI provisions resources dynamically, allowing scaling based purely on pod demand.
There's no need for node management, patching, or infrastructure planning, which perfectly aligns with the requirement to minimize operational overhead.
Operational overhead: Minimal.
Best Fit for This Scenario: Since the requirement emphasizes minimizing operational overhead, this is the ideal solution.
C . Using Kubernetes cluster add-ons to automate worker node management Kubernetes add-ons like Cluster Autoscaler or Node Problem Detector help in automating some aspects of worker node management. However, this still requires managing worker node infrastructure at the core level.
Operational overhead: Moderate to high.
D . Creating and managing worker nodes using OCI compute instances
This involves manually provisioning and managing compute instances for worker nodes, including scaling, patching, and troubleshooting.
Operational overhead: High.
Not Suitable for the Requirement: This option contradicts the goal of minimizing operational overhead.
Step 3: Why Virtual Nodes Are the Best Fit
Virtual Nodes in OCI OKE:
Virtual nodes provide serverless compute for Kubernetes pods, allowing users to run workloads without provisioning or managing worker node infrastructure.
Scaling: Pods are automatically scheduled, and the required infrastructure is dynamically provisioned behind the scenes.
Cost Efficiency: You only pay for the resources consumed by the running workloads.
Use Case Alignment: Eliminating the burden of worker node infrastructure management while ensuring Kubernetes reliability at scale.
Step 4: References and OCI Resources
OCI Documentation:
OCI Kubernetes Virtual Nodes
OCI Container Engine for Kubernetes Overview
Best Practices for Kubernetes on OCI:
Best Practices for OCI Kubernetes Clusters

NEW QUESTION # 20
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. 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
B. 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
C. 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
D. 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

Answer: B

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 # 21
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100% PASS 2025 1Z0-1109-25: ORACLE CLOUD INFRASTRUCTURE 2025 DEVOPS PROFESSIONAL ACCURATE VALID TEST SIMULATOR

100% Pass 2025 1Z0-1109-25: Oracle Cloud Infrastructure 2025 DevOps Professional Accurate Valid Test Simulator