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Oracle 1Z0-1109-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
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
- 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.
Topic 4
- 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.
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Oracle Cloud Infrastructure 2025 DevOps Professional Sample Questions (Q23-Q28):
NEW QUESTION # 23
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. Container Instances in OCI
- B. Managed nodes in OKE
- C. Self-Managed Nodes in OKE
- D. Virtual nodes in OKE
Answer: D
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 # 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. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
- B. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
- C. Creating and managing worker nodes using OCI compute instances
- D. Using Kubernetes cluster add-ons to automate worker node management
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 # 25
You are a developer and have been asked to develop an e-commerce website for your organization. It must support a variety of clients including desktop browsers, mobile browsers and native mobile applications.
Which two approaches can you use to build the application to achieve deployment independence, easier technology upgrades, and resiliency to architecture changes? (Choose two.)
- A. Use monolithic approach, as it allows you to easily redeploy your applications to perform frequent updates.
- B. Implement each module as an independent service/process which can be replaced, updated, or deleted without disrupting the rest of the application.
- C. Choose monolithic approach over microservices as it has better fault isolation capability.
- D. Use monolithic approach to as it makes it easier to incrementally adapt to newer technology.
- E. Use microservices architecture as it eliminates any long-term commitment to a technology stack.
Answer: B,E
Explanation:
By implementing each module as an independent service/process (which is a core feature of microservices architecture), you can replace, update, or delete services without affecting the rest of the application. This ensures deployment independence and makes it easier to adapt to architecture changes or technology upgrades without major disruptions.
Microservices architecture allows each service to be built with the best-suited technology stack for its specific function. This flexibility ensures that you are not tied to a single technology for the entire application, making future technology upgrades easier and eliminating long-term technology commitments.
NEW QUESTION # 26
What is the correct approach to upgrade an Oracle Container Engine for Kubernetes (OKE) Cluster to a newer version of Kubernetes?
- A. Initiate the control plane and node pool upgrades simultaneously.
- B. Initiate the automated upgrade process using the OCI Console, CLI, or API.
- C. Upgrade the control plane, then upgrade the node pools.
- D. Upgrade the node pools one at a time, then once all node pools are upgraded, upgrade the control plane.
Answer: C
Explanation:
The correct approach to upgrade an Oracle Container Engine for Kubernetes (OKE) cluster involves first upgrading the Kubernetes control plane, followed by upgrading the node pools. The control plane must be upgraded first to ensure compatibility with newer versions of Kubernetes, as node pools rely on the control plane for orchestration and management.
After upgrading the control plane, each node pool is upgraded to match the new Kubernetes version. This phased approach ensures the cluster remains in a stable state during the upgrade.
NEW QUESTION # 27
As a DevOps engineer working on managing clusters on the OCI platform for your organization, which statement is true about managing cluster add-ons in OCI OKE Cluster?
- A. When you disable a cluster add-on using the console, the add-on is completely removed from the cluster.
- B. When enabling a cluster add-on, you cannot configure the add-on by specifying one or more key/value pairs to pass as arguments to the cluster add-on.
- C. When creating a new cluster, essential cluster add-ons are set to manually update.
- D. When creating a new cluster, essential cluster add-ons cannot be disabled.
Answer: D
Explanation:
Essential cluster add-ons are required for the basic functioning of the Kubernetes cluster and cannot be disabled during cluster creation. These add-ons provide necessary features such as core DNS, networking, and other critical functionalities for the cluster's operation.
NEW QUESTION # 28
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