Oracle 1z0-1109-24日常練習試験は2025年最新のに更新された52問あります
有効問題を試そう！1z0-1109-24試験で実際の試験問題と解答
質問 # 23
Which two are prerequisites for creating a secret in Oracle Cloud Infrastructure Vault service? (Choose two.)
- A. You must have the required permissions to create and manage secrets in the Vault service.
- B. You must have an auth token to encrypt the secret.
- C. The user must create a compute instance to run the secret service.
- D. You must have a Vault managed key to encrypt the secret.
- E. You must first create a hash digest of the secret value.
正解：A、D
解説：
You need the required permissions (such as policies allowing secret management) to create and manage secrets in Oracle Cloud Infrastructure (OCI) Vault service. These permissions are essential for performing operations such as creating, reading, and managing secrets.
Vault managed key is required to encrypt the secret before it is stored in the OCI Vault. The managed key acts as the encryption key for securing the secret, ensuring its confidentiality.
質問 # 24
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?
- A. 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
- B. 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
- C. 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
- D. 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
正解：B
解説：
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.
質問 # 25
What is the correct approach to upgrade an Oracle Container Engine for Kubernetes (OKE) Cluster to a newer version of Kubernetes?
- A. Upgrade the control plane, then upgrade the node pools.
- B. Initiate the control plane and node pool upgrades simultaneously.
- C. Initiate the automated upgrade process using the OCI Console, CLI, or API.
- D. Upgrade the node pools one at a time, then once all node pools are upgraded, upgrade the control plane.
正解：A
解説：
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.
質問 # 26
How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications?
- A. By working with existing Git repositories and CI systems
- B. By eliminating downtime of production applications
- C. By scaling builds with service-managed build runners
- D. By reducing change-driven errors introduced by manual deployments
正解：D
解説：
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.
質問 # 27
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.
正解：C
解説：
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.
質問 # 28
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. Defined variables as exportedVariables to make them available in subsequent stages of the same pipeline
- B. Used vaultVariable to hold the content of the vault secrets in Base64 format
- C. Defined parameters such as the ${VARIABLE_NAME} file and later assigned their values in the Parameters tab of the build pipeline
- D. Defined a field such as type: DOCKER_IMAGE in the outputArtifacts: section to specify the docker image produced by the Build stage
正解：C
解説：
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.
質問 # 29
Observability helps understand system behavior, but it has limitations.
Which of the following tasks cannot be accomplished solely through observability?
- A. Identifying resource consumption
- B. Automating software deployments
- C. Identifying infrastructure bottlenecks
- D. Optimizing resource utilization
正解：B
解説：
Observability refers to the ability to understand a system's internal state by observing its outputs. It involves metrics, logs, and tracing to provide insights into the system's behavior, which helps in monitoring and identifying issues.
質問 # 30
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 need to provision the new resources in the OCI console first, then add them later to the Terraform configuration and state.
- B. You can make the changes to the Terraform code, run a Drift Detection job, and Resource Manager will provision the new resources.
- 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.
正解：D
解説：
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.
質問 # 31
Which of the following is NOT considered a DevOps resource in the context of the OCI DevOps project service?
- A. API integrations
- B. Environments
- C. Code repositories
- D. Build pipelines
正解：A
解説：
In the context of OCI DevOps project service, the key DevOps resources include:
Environments: These are used to represent deployment targets, such as Kubernetes clusters, compute instances, or functions.
Build pipelines: These automate the building, testing, and packaging of software.
Code repositories: These store source code for the application being built, providing version control and collaboration.
API integrations are not directly considered a DevOps resource in OCI DevOps projects. Instead, they facilitate communication and integration with other tools or services but do not represent a core component of DevOps projects like environments, build pipelines, or code repositories.
質問 # 32
You are using the Oracle Cloud Infrastructure (OCI) DevOps service and you have successfully built and tested your software applications in your Build Pipeline. The resulting output needs to be stored in a container repository.
Which stage should you add next to your Build Pipeline?
- A. Trigger deployment
- B. Managed build
- C. Deliver artifacts
- D. Export packages
正解：C
解説：
Step 1: Understanding the Requirement
The objective is to store the resulting build output from a Build Pipeline in a container repository. In OCI DevOps, the build output is stored as an artifact, which can include Docker images or other build-generated files. To store these artifacts in a container repository, you need to explicitly deliver artifacts in the pipeline.
Step 2: Explanation of the Options
A . Trigger deployment
This stage is used to trigger a deployment pipeline, which comes after the artifacts are already stored and prepared for deployment.
Not applicable: This stage is downstream of storing artifacts and is used for deploying software, not for saving the build output to a repository.
B . Managed build
The managed build stage is where you compile, test, and package the application. This has already been completed successfully according to the question.
Not applicable: The question specifies that the build has been completed, so this stage is not relevant at this point.
C . Deliver artifacts
The Deliver Artifacts stage in OCI DevOps pipelines is designed to store the output of the build process in an artifact repository, such as:
OCI Container Registry (OCIR) for Docker images.
Artifact Registry for build artifacts like binaries or JAR files.
Applicable and Correct answer: This is the correct next step for storing the resulting D . Export packages This is not a standard OCI DevOps pipeline stage. It may be relevant in other contexts but is not related to OCI DevOps for storing build artifacts.
Step 3: Key Concepts of "Deliver Artifacts" in OCI DevOps
Purpose: Save build outputs (artifacts) to an artifact repository.
Artifact Types: Includes Docker container images, binaries, JAR files, or other build outputs.
Repositories Supported:
OCI Container Registry (OCIR)
OCI Artifact Registry
Configuration:
Specify the artifact source (build stage output).
Define the destination repository (e.g., OCIR).
Step 4: References and OCI Resources
OCI DevOps Build Pipelines:
Build Pipeline Documentation
Deliver Artifacts Stage
OCI Container Registry (OCIR):
OCI Container Registry Overview
OCI Artifact Registry:
OCI Artifact Registry Overview
質問 # 33
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. Creating and managing worker nodes using OCI compute instances
- C. Using Kubernetes cluster add-ons to automate worker node management
- D. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management
正解：A
解説：
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
質問 # 34
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. Use monolithic approach to as it makes it easier to incrementally adapt to newer technology.
- C. Choose monolithic approach over microservices as it has better fault isolation capability.
- D. Use microservices architecture as it eliminates any long-term commitment to a technology stack.
- E. Implement each module as an independent service/process which can be replaced, updated, or deleted without disrupting the rest of the application.
正解：D、E
解説：
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.
質問 # 35
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.
正解：C
解説：
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.
質問 # 36
How can system administrators ensure that only signed images from Oracle Cloud Infrastructure Registry are deployed to a Container Engine for Kubernetes cluster?
- A. By encrypting the images using a custom encryption algorithm
- B. By configuring an image verification policy for the cluster
- C. By manually inspecting each image before deployment
- D. By disabling access to the Container Engine for Kubernetes cluster
正解：B
解説：
Image verification policies are used to ensure that only trusted and signed images are deployed to an Oracle Kubernetes Engine (OKE) cluster. By configuring such policies, administrators can enforce that images must be signed and come from trusted sources, such as the Oracle Cloud Infrastructure Registry.
質問 # 37
As a DevOps Engineer, you are tasked with securely storing and versioning your application's source code and automatically build, test, and deploy your application to Oracle Cloud Infrastructure (OCI) platform.
You are told to automate manual tasks and help software teams in managing complex environments at scale.
Which three OCI services can you choose to accomplish these tasks? (Choose three.)
- A. Container Engine for Kubernetes
- B. Oracle APEX Application Development
- C. DevOps project
- D. Oracle Cloud Infrastructure Registry
- E. Oracle Cloud Logging Analytics
正解：A、C、D
解説：
Oracle Cloud Infrastructure Registry: This service allows you to securely store container images. It is essential for managing the container images used for deployment, making it an important part of the DevOps workflow.
DevOps project: OCI DevOps project is specifically designed to manage the CI/CD pipeline. It helps in automating tasks like building, testing, and deploying applications, which are key activities for managing complex environments and promoting agility in software development.
Container Engine for Kubernetes: Oracle Container Engine for Kubernetes (OKE) is used to deploy applications in a containerized environment. It provides a robust platform for deploying, managing, and scaling containerized applications, which is essential for handling complex environments at scale.
質問 # 38
As a DevOps engineer working on an OCI project, you're setting up a deployment pipeline to automate your application deployments.
Which statement is false about deployment pipeline in OCI DevOps?
- A. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.
- B. Using deployment pipeline, you can deploy helm charts in OCI Function.
- C. You can add a Traffic Shift stage that routes the traffic between two environments.
- D. You can add a Wait stage that adds a specified duration of delay in the pipeline.
正解：B
解説：
Helm charts are used to manage Kubernetes deployments, not OCI Functions. Helm charts are deployed to Kubernetes clusters, such as OCI Container Engine for Kubernetes (OKE), to manage containerized applications. OCI Functions are serverless and do not use Helm charts for deployment.
質問 # 39
Why is it important to extract output artifacts from the Oracle Cloud Infrastructure (OCI) DevOps build pipeline and store them in an Artifact Registry repository?
- A. Storing build artifacts in registries helps the deployment pipeline differentiate output artifacts created by the build pipeline from artifacts copied from a Git repository.
- B. All artifacts are permanently stored in the build pipeline. Extracting just the ones required for deployment tells the deployment pipeline which artifacts to use.
- C. Deliver Artifacts is a required stage of the build pipeline, and the entire pipeline won't work if it is not included in order to extract artifacts after the Managed Build stage.
- D. Output artifacts aren't permanent. If they are to be used in the Deliver Artifacts stage, they need to be exported as output artifacts to a registry.
正解：D
解説：
In OCI DevOps Build Pipeline, the output artifacts generated during the build are temporary and will be discarded unless explicitly stored in a persistent location. By extracting and storing these artifacts in an Artifact Registry (such as OCI Artifact Registry or OCI Container Registry), you ensure that they are available for subsequent stages, such as deployment.
Storing artifacts in a registry provides a persistent location where the deployment pipeline can access them, ensuring the artifacts are available for reliable deployment.
質問 # 40
As a DevOps engineer at XYZ Corp, you are responsible for ensuring the smooth operation of high-traffic web applications hosted on Oracle Cloud Infrastructure (OCI). The web applications run on multiple OCI resources, including virtual machines, load balancers, and databases. Recently, users have reported failures while accessing one of the OCI-based web applications, and you suspect HTTP 5XX errors on the load balancer. You need to quickly identify and address this issue.
Which of the following statements can assist you in quickly identifying and monitoring the HTTP 5XX error rate on the load balancer and setting up notifications?
- A. Use Metrics and Alarms of the Monitoring service to monitor the HTTP 5XX error rate on the load balancer and set up notifications with OCI Notifications.
- B. Use Event Rules to detect HTTP 5XX errors on the load balancer and trigger automated actions using OCI Functions or API Gateway.
- C. Use Custom Metrics of the Monitoring service to collect HTTP 5XX error rates from the load balancer and set up Service Connectors with third-party services such as PagerDuty or Slack.
- D. Use Metrics and Alarms of the Monitoring service with Container Engine for Kubernetes (OKE) to monitor HTTP 5XX errors on Kubernetes resources and correlate them with other OCI resources.
正解：D
解説：
The Monitoring service in OCI can be used to track metrics for various OCI resources, including load balancers. You can monitor specific metrics, such as HTTP 5XX error rates, to identify issues.
By using Alarms, you can set up thresholds for the HTTP 5XX error rate and receive notifications when the threshold is breached. The notifications can be configured through OCI Notifications, which allows integration with email, PagerDuty, Slack, and other channels.
質問 # 41
As a DevOps engineer working on a CI/CD pipeline for your company's application, you have completed code analysis, image scanning, and automated testing.
What is the next step to ensure a secure and reliable deployment?
- A. Add a shell stage to run custom commands in the deployment pipeline.
- B. Add an invoke function stage to run code or custom logic in a serverless manner.
- C. Add an approval stage to pause the deployment for a specified duration for manual decision from the approver.
- D. Add a traffic Shift stage to route the traffic between two sets ofbackend IPs.
正解：C
解説：
After completing code analysis, image scanning, and automated testing, the next step in the CI/CD pipeline should include a manual review to ensure that all necessary security and quality checks have been performed correctly. Adding an approval stage helps ensure that a secure and reliable deployment is achieved by requiring human verification and approval before proceeding with the deployment to production.
This step adds an extra layer of control to prevent unintended issues from moving forward without further review. It is a common practice in CI/CD pipelines to have an approval step, especially for critical deployments.
質問 # 42
You're using Oracle Cloud Infrastructure (OCI) DevOps to automate your application deployment for frequent releases. In one of your automation steps, you'll create a deployment pipeline.
What does this deployment pipeline do in OCI DevOps?
- A. It is a sequence of steps for delivering and deploying your artifacts to a target environment.
- B. It is used to store, manage, develop source code with OCI DevOps Code Repositories.
- C. It is a set of stages for your build process for building, testing and compiling software artifacts.
- D. It takes a commit ID from your source code repositories and uses that source code to run your build instructions.
正解：A
解説：
A deployment pipeline in OCI DevOps is used to automate the deployment of application artifacts to a target environment. It is a sequence of stages that includes steps such as approvals, traffic shifts, manual interventions, and the actual deployment of the artifacts to environments like Kubernetes clusters or compute instances.
質問 # 43
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 rate of requests to the application crosses a configured threshold.
- C. When the custom metrics from the services exceed a configured threshold.
- D. When the resource requests from pods exceed a configured threshold.
正解：D
解説：
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.
質問 # 44
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Oracle 1z0-1109-24 認定試験の出題範囲：
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