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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	Managing Containers Using Container Orchestration Engine: This part assesses the abilities of Kubernetes Administrators and Containerization Specialists in managing Oracle Container Engine for Kubernetes (OKE). It covers cluster creation, scaling, upgrades, networking, storage, and security configurations to optimize containerized applications in OCI environments.

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q22-Q27):

NEW QUESTION # 22
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 need to provision a new stack because Terraform uses immutable infrastructure.
D. You can make the changes to the Terraform code, run an Apply job, and Resource Manager will provision the new resources.

Answer: D

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 # 23
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 third-party tools like Sonatype, SonarQube, or OverOps to analyze code for security defects or bugs in code quality
B. Using third-party tools like Ansible, Terraform, 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 version control tools like Git or SVN to track and manage changes in the codebase

Answer: A,C

NEW QUESTION # 24
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. Creating and managing worker nodes using OCI compute instances
B. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
D. Using Kubernetes cluster add-ons to automate worker node management

Answer: C

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 # 25
How can you scale a deployment named nodejs-deployment to have two replicas?

A. kubectl adjust deployment nodejs-deployment --replicas=2
B. kubectl scale deployment nodejs-deployment --replicas=2
C. kubectl set replicas deployment nodejs-deployment --replicas=2
D. kubectl resize deployment nodejs-deployment --replicas=2

Answer: B

Explanation:
The kubectl scale command is used to scale the number of replicas in a deployment. By specifying the --replicas flag, you define the desired number of replicas for the deployment.
(kubectl set replicas) is not the correct syntax for scaling a deployment.
(kubectl resize) is not a valid command for scaling a deployment.
(kubectl adjust) is also not a valid Kubernetes command.

NEW QUESTION # 26
A software development team is working on a prototype using Node.js and MongoDB as their programming language and database, respectively. They need to develop and test isolated web applications or RESTful APIs. They are looking for a simple, quick, and secure way to run containers without managing any servers.
Which OCI service is best suited for this use case?

A. Compute Instances
B. Container Instances
C. OCI Functions
D. OCI DevOps Project

Answer: B

Explanation:
OCI Container Instances provide a serverless way to run containers in Oracle Cloud Infrastructure (OCI). They allow you to run containers without having to manage any underlying servers or clusters. This is ideal for development teams that need a simple, quick, and secure way to develop and test isolated web applications or RESTful APIs.

NEW QUESTION # 27
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