1Z0-1109-24 – Q&A PDF Exam

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Earn associated certifications Passing this exam is required to earn these certifications. Select each certification title below to view full requirements. Oracle Cloud Infrastructure 2024 Certified DevOps Professional Format: Multiple Choice Duration: 90 Minutes Exam Price: . Number of Questions: 50 Passing Score: 68% Validation: This exam has been validated against Oracle Cloud Infrastructure 2024 Policy: Cloud Recertification Prepare to pass exam: 1Z0-1109-24 OCI DevOps Professional course is designed to accelerate your career, this comprehensive learning path equips you with essential skills and knowledge to thrive in dynamic DevOps environments. Dive into the core principles of DevOps and leverage the power of Oracle Cloud Infrastructure (OCI) to streamline your workflows effectively. Ideal for DevOps engineers and developers, this program covers everything from mastering application development and testing to ensuring robust security measures and seamless deployment using OCI’s capabilities. By the end of this course, you’ll be well-prepared to ace the Oracle Cloud Infrastructure DevOps Professional Certification and unlock new opportunities in your career journey. You’ll develop the ability to: Master DevOps principles for efficient software delivery. Explore microservices, containerization, and services like OCIR and Container Instances. Deploy and manage containerized apps effectively with OKE. Utilize OCI DevOps projects, including Code Repositories and Artifact Registries. Implement CI/CD practices for automated software builds and deployments. Automate resource management with config management and IaC techniques. Enhance DevOps workflow security by implementing DevSecOps best practices and leveraging OCI security services. Gain insights into App performance and troubleshoot issues with observability services. Take recommended training Complete one of the courses below to prepare for your exam (optional): Become an OCI DevOps Professional (2024) Additional Preparation and Information A combination of Oracle training and hands-on experience (attained via labs and/or field experience), in the learning subscription, provides the best preparation for passing the exam. Review exam topics The following table lists the exam objectives and their weightings. Understand DevOps principles and effectively work with containerization services 15% Using Code and Templates for Provisioning and Configuring Infrastructure 10% Configuring and Managing Continuous Integration and Continuous Delivery (CI/CD) 30% Managing Containers using Container Orchestration Engine 30% Enabling DevSecOps 10% Implementing Monitoring and Observability (O&M) 5% Understand DevOps principles and effectively work with containerization services Demonstrate proficiency in DevOps practices, tools, and solutions through real-world problem-solving Explain and Implement Microservices Architecture Identify the need for containerization and create containers using Docker Create and manage Oracle Cloud Infrastructure Registry OCIR Create and manage Oracle Cloud Infrastructure Container Instances Using Code and Templates for Provisioning and Configuring Infrastructure Deploy infrastructure using Infrastructure as Code and Terraform on OCI Streamline infrastructure deployment and configuration with OCI Resource Manager Configuring and Managing Continuous Integration and Continuous Delivery (CI/CD) Automate the software development life cycle using OCI DevOps Service Configure and manage source code in OCI DevOps Code Repositories Analyze and create artifacts for automated deployment to different environments Evaluate and Configure Build and Deployment Pipelines Create and configure various deployment strategies Managing Containers using Container Orchestration Engine Review Container Engine for Kubernetes and important containerization and Kubernetes principles Create, manage, and optimize Kubernetes clusters in the OCI environment Understand cluster types, cluster access, and other management activities such as deployments, networking, storage, and observability Perform scaling, cluster upgrades, use admission controllers, and execute applications on specialized nodes Evaluate and configure security within OCI OKE service Enabling DevSecOps Configure security using DevSecOps best practices in OCI Create and manage encryption keys and secrets in OCI Vault Evaluate and configure security within the OCI DevOps CI/CD pipelines Evaluate and configure security for container images used in OCI Implementing Monitoring and Observability (O&M) Explain the concepts of DevOps measurement Monitor metrics using OCI Monitoring Service Analyze and manage logs with OCI Logging Service Create and track events with OCI Events Service Sample Question and Answers QUESTION 1 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 managed nodes with cluster autoscalers to eliminate worker node infrastructure management B. Using OCI OKE virtual nodes to eliminate worker node infrastructure management C. Using Kubernetes cluster add-ons to automate worker node management D. Creating and managing worker nodes using OCI compute instances Answer: B 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. Theres 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 QUESTION 2 How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications? A. By reducing change-driven errors introduced by manual deployments B. By scaling builds with service-managed build runners C. By working with existing Git repositories and CI systems D. By eliminating downtime of production applications Answer: A Explanation: OCI DevOps Deployment Pipelines automate the process of deploying applications to production environments. By using automated, repeatable deployment processes, they help reduce the risk of change-driven errors, which are often introduced during manual deployments. This automation reduces human errors and ensures consistency across environments, thus minimizing complexity and risk in production. QUESTION 3 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 CPU or memory utilization crosses a configured threshold. B. When the resource requests from pods exceed a configured threshold. C. When the custom metrics from the services exceed a configured threshold. D. When the rate of requests to the application crosses a configured threshold. Answer: B 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. QUESTION 4 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. Virtual nodes in OKE B. Self-Managed Nodes in OKE C. Managed nodes in OKE D. Container Instances in OCI Answer: A 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. QUESTION 5 Which command creates the docker registry secret required in the application manifests for OKE to pull images from Oracle Cloud Infrastructure Registry? A) B) C) D) A. Option A B. Option B C. Option C D. Option D Answer: D Explanation: To create a Docker registry secret to pull images from the Oracle Cloud Infrastructure Registry (OCIR), you need to specify the correct parameters such as the region key, namespace, OCI username, and OCI authentication token. Chosen command is correct because: The kubectl create secret docker-registry command creates a Docker registry secret. The –docker-server=.ocir.io specifies the correct endpoint for OCIR. The –docker-username=/ provides both the tenancy namespace and the OCI username, which is the required format for authentication with OCIR. 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