1Z0-1109-24 VALID TEST SIMULATOR - 1Z0-1109-24 STUDY DEMO

1z0-1109-24 Valid Test Simulator - 1z0-1109-24 Study Demo

1z0-1109-24 Valid Test Simulator - 1z0-1109-24 Study Demo

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Oracle 1z0-1109-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Managing Containers Using Container Orchestration Engine: This section covers the management of containers using orchestration tools like Kubernetes. Candidates will gain insights into creating, scaling, and optimizing containerized applications within a cloud environment.
Topic 2
  • Configuring and Managing Continuous Integration and Continuous Delivery (CI
  • CD): This domain measures the skills of DevOps Engineers by focusing on the configuration and management of CI
  • CD pipelines. Candidates will learn to automate the software development lifecycle, enabling faster release cycles through continuous integration and delivery practices.
Topic 3
  • Enabling DevSecOps: This domain measures the skills of Oracle Cloud Infrastructure DevOps engineers and developers in integrating security practices within the DevOps lifecycle through DevSecOps methodologies.
Topic 4
  • Using Code and Templates for Provisioning and Configuring Infrastructure: This section targets DevOps Engineers and emphasizes the importance of using code and templates for infrastructure provisioning. Candidates will explore Infrastructure as Code (IaC) practices that allow for automated configuration and management of infrastructure resources.

Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q50-Q55):

NEW QUESTION # 50
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 that has CUDA libraries pre-installed, and specifying the number of GPU resources required in the pod spec
  • B. 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
  • C. 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
  • D. 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

Answer: A

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 # 51
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 Kubernetes cluster add-ons to automate worker node management
  • B. Using OCI OKE virtual nodes to eliminate worker node infrastructure 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: 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.
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 # 52
As a DevOps engineer at XYZ Corp, you have been assigned the task of setting up a new OKE (Oracle Kubernetes Engine) cluster to manage the organization's Kubernetes applications hosted on Oracle Cloud Infrastructure (OCI). Your goal is to ensure a smooth and efficient process while preparing for the cluster creation.
Which of the following statements is false regarding the preparation process for setting up a new OKE cluster?

  • A. Container Engine for Kubernetes automatically creates and configures new network resources for the new cluster.
  • B. Access to an Oracle Cloud Infrastructure tenancy is required to set up the new OKE cluster.
  • C. Container Engine for Kubernetes cannot utilize existing network resources for the creation of the new cluster.
  • D. It is necessary to ensure sufficient quota on different resource types in your OCI tenancy for the cluster setup.

Answer: C

Explanation:
This statement is false because Container Engine for Kubernetes (OKE) can utilize existing network resources such as Virtual Cloud Networks (VCNs), subnets, security lists, and route tables for the creation of a new cluster. You can either use pre-existing network resources or let OKE create new network resources automatically.


NEW QUESTION # 53
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. The underlying infrastructure for Container Instances is fully managed and hardened by OCI, ensuring reliability and security.
  • C. Billing for Container Instances is based on the allocated CPU and memory resources for each container instance.
  • D. Container Instances provide a serverless compute service for running containers, eliminating the need for server management.

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 # 54
While adding variables to your build_spec.yaml file, you made a mistake that resulted in a failed build pipeline.
What is the error you could have made?

  • A. Used vaultVariable to hold the content of the vault secrets in Base64 format
  • B. Defined variables as exportedVariables to make them available in subsequent stages of the same pipeline
  • C. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage
  • D. Defined parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline

Answer: D

Explanation:
In build_spec.yaml for OCI DevOps, variables must be correctly defined and used according to the specification. If you defined parameters using ${VARIABLE_NAME} and then attempted to assign their values through the Parameters tab in the build pipeline, you may have introduced an error. The syntax and usage of parameters must be properly defined in both the build_spec.yaml and the build pipeline interface.


NEW QUESTION # 55
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