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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	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 3	Implementing Monitoring and Observability (O&M): This section evaluates the expertise of Site Reliability Engineers (SREs) and Monitoring Specialists in tracking system performance using OCI Monitoring, Logging, and Events services. It analyzes metrics, logs, and events to maintain system reliability and troubleshoot operational issues effectively.

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
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?

A. Managed nodes in OKE
B. Self-Managed Nodes in OKE
C. Virtual nodes in OKE
D. Container Instances in OCI

Answer: C

Explanation:
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.

NEW QUESTION # 41
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 # 42
How does the Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) Cluster Autoscaler determine when to create new nodes for an OKE cluster?

A. When the custom metrics from the services exceed a configured threshold.
B. When the CPU or memory utilization crosses a configured threshold.
C. When the resource requests from pods exceed a configured threshold.
D. When the rate of requests to the application crosses a configured threshold.

Answer: C

Explanation:
The OKE Cluster Autoscaler automatically adjusts the number of worker nodes in an OKE cluster based on the resource requests made by Kubernetes pods. When there are not enough resources available (e.g., CPU or memory) on existing nodes to accommodate pending pods, the Cluster Autoscaler will create new nodes to meet the resource demand.

NEW QUESTION # 43
A DevOps team is deploying a new version of their application to their production environment using the Canary deployment strategy in the OCI DevOps service. They want to ensure that the production environment is not affected by any potential issues caused by the new version.
Which statement is true in regards to the Canary deployment strategy?

A. The Shift Traffic stage in the Canary deployment strategy shifts the entire 100% of the production traffic to the Canary environment.
B. The Production stage in the Canary deployment strategy deploys the new version to the production environment without any manual approval.
C. The Invoke Function stage is an optional stage that can be used to validate the new version before moving to the production environment.
D. The Canary deployment strategy only supports pipeline redeployment for OKE and not for instance group deployments.

Answer: C

Explanation:
In a Canary deployment strategy, a new version of an application is rolled out to a small subset of the production environment (the canary) first, while the majority of the production environment still runs the current stable version. This approach helps to detect potential issues before the new version is fully deployed.
The Invoke Function stage can be used as an optional step in the deployment pipeline to run additional validation (e.g., automated tests or other checks) on the new version before gradually shifting more traffic to it or moving to full production deployment.

NEW QUESTION # 44
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. Container Instances require the team to perform provisioning, patching, and ongoing management of servers.
B. Container Instances provide a serverless compute service for running containers, eliminating the need for server management.
C. Billing for Container Instances is based on the allocated CPU and memory resources for each container instance.
D. The underlying infrastructure for Container Instances is fully managed and hardened by OCI, ensuring reliability and security.

Answer: A

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 # 45
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Oracle 1Z0-1109-25 Exam Syllabus Topics:

Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q40-Q45):

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