[Dec 12, 2025] Get New 1z0-1109-24 Certification Practice Test Questions Exam Dumps
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Oracle 1z0-1109-24 Exam Syllabus Topics:
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NEW QUESTION # 11
Which statement is false about OCI Resource Manager (RM)?
- A. Resources provisioned through RM cannot be destroyed from outside of RM.
- B. RM can mirror repositories from GitHub and GitLab.
- C. RM can render custom "Application Information" pages for stacks.
- D. RM can generate Terraform based on the resources in a compartment.
Answer: A
Explanation:
Resources provisioned through OCI Resource Manager (RM) can still be modified or destroyed from outside of RM, such as using the OCI Console, CLI, or other APIs. RM manages the lifecycle of resources created by its Terraform configurations, but it does not prevent other tools or methods from modifying or deleting those resources.
NEW QUESTION # 12
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. Deliver artifacts
- B. Trigger deployment
- C. Export packages
- D. Managed build
Answer: A
Explanation:
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
NEW QUESTION # 13
As a DevOps Engineer, you are tasked with explaining the key concepts of Terraform to a new team member. You want to ensure they understand the fundamental concepts of Terraform.
Which of the following best describes the purpose of Terraform variables?
- A. Terraform variables are used to output the final state of the infrastructure after deployment.
- B. Terraform variables are used to define the structure and organization of Terraform configuration files.
- C. Terraform variables are used to define input values for Terraform configurations, allowing for customization and reuse of infrastructure code.
- D. Terraform variables are used to manage the life cycle of Terraform resources.
Answer: C
Explanation:
Terraform variables are used to define input values for Terraform configurations. They allow users to customize infrastructure deployments by providing different values without modifying the configuration files themselves. Variables help in creating reusable infrastructure code, making it easy to maintain and adjust the infrastructure setup according to different environments or needs.
NEW QUESTION # 14
In Kubernetes clusters created by Container Engine for Kubernetes, how is data in etcd encrypted at rest by default?
- A. No encryption applied
- B. Using encryption keys managed by the user
- C. Encryption using TLS certificates
- D. Using encryption keys managed by Oracle using a master encryption key
Answer: D
Explanation:
In Kubernetes clusters created by Oracle Container Engine for Kubernetes (OKE), data in etcd (the key-value store that holds cluster state and configuration data) is encrypted at rest by default using encryption keys managed by Oracle. Oracle manages the encryption using a master encryption key to protect sensitive data.
NEW QUESTION # 15
Which is NOT a valid log category for the Oracle Cloud Infrastructure Logging service?
- A. Audit Logs
- B. Service Logs
- C. Execution Logs
- D. Custom Logs
Answer: C
Explanation:
The Oracle Cloud Infrastructure Logging service has several log categories that users can utilize:
Custom Logs: Users can create their own logs to collect application-specific data.
Audit Logs: These logs contain audit records that provide information about activities performed on resources, generated by OCI Audit service.
Service Logs: These are logs generated by OCI services, providing information about the functioning and performance of the services.
Execution Logs is not a valid log category in OCI Logging. There are no "execution logs" as a defined category for the Logging service.
NEW QUESTION # 16
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?
- A. Oracle Kubernetes (OKE)
- B. Virtual machine compute instance
- C. Bare metal compute instance
- D. Functions
Answer: D
Explanation:
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.
NEW QUESTION # 17
You're using Oracle Cloud Infrastructure (OCI) DevOps service to automate your software releases to release features more frequently and with fewer errors. While deploying an update to production, one of your deployment stages failed.
What action should you perform in your Deployment Pipeline?
- A. Roll back the failed stage in the pipeline to the previous successful released version
- B. Automate back up and use the rerelease stage in the Deployment Pipeline.
- C. Use OCI DevOps Trigger and Rerun tool to avoid downtime.
- D. Add Rescue and Trigger stages to automatically trigger the failed deployment.
Answer: A
Explanation:
When a deployment stage fails in a OCI DevOps Deployment Pipeline, the recommended approach is to roll back to the previous successful version to ensure that the production environment remains in a stable state. This approach minimizes disruption and ensures that your system continues to function properly while the issue with the failed deployment is investigated and fixed.
NEW QUESTION # 18
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. All artifacts are permanently stored in the build pipeline. Extracting just the ones required for deployment tells the deployment pipeline which artifacts to use.
- B. Storing build artifacts in registries helps the deployment pipeline differentiate output artifacts created by the build pipeline from artifacts copied from a Git repository.
- 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.
Answer: D
Explanation:
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.
NEW QUESTION # 19
The Kubernetes Master node serves as the central control plane for managing the cluster's resources and orchestrating workload deployment.
What are the primary responsibilities of the Kubernetes Master node?
- A. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
- B. The Master node oversees the scheduling and allocation of cluster resources, ensuring optimal utilization across nodes.
- C. The Master node monitors network traffic within the cluster, ensuring secure communication and efficient data transfer between nodes.
- D. The Master node serves as a repository for storing container images, facilitating rapid deployment and scaling of applications.
Answer: B
Explanation:
The Kubernetes Master node is the central control plane responsible for managing the cluster's resources and orchestrating workload deployment. Its primary responsibilities include:
Scheduling: Deciding which workloads (pods) should run on which worker nodes, based on resource availability and scheduling constraints.
Resource Allocation: Allocating resources to workloads to ensure optimal utilization across nodes.
Cluster Management: Maintaining the desired state of applications, managing cluster events, and ensuring that all the components of the cluster are functioning properly.
NEW QUESTION # 20
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 manually inspecting each image before deployment
- B. By encrypting the images using a custom encryption algorithm
- C. By disabling access to the Container Engine for Kubernetes cluster
- D. By configuring an image verification policy for the cluster
Answer: D
Explanation:
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.
NEW QUESTION # 21
How can you scale a deployment named nodejs-deployment to have two replicas?
- A. kubectl adjust deployment nodejs-deployment --replicas=2
- B. kubectl resize deployment nodejs-deployment --replicas=2
- C. kubectl scale deployment nodejs-deployment --replicas=2
- D. kubectl set replicas deployment nodejs-deployment --replicas=2
Answer: C
Explanation:
The kubectl scale command is used to scale the number of replicas in a deployment. By specifying the --replicas flag, you define the desired number of replicas for the deployment.
(kubectl set replicas) is not the correct syntax for scaling a deployment.
(kubectl resize) is not a valid command for scaling a deployment.
(kubectl adjust) is also not a valid Kubernetes command.
NEW QUESTION # 22
As an engineer building and deploying applications using an OCI DevOps project, which two capabilities can help ensure the security and reliability of the code in the build and deployment pipelines? (Choose two.)
- A. Using Application Dependency Management (ADM) to identify security weaknesses in software applications by checking their dependencies
- B. Using version control tools like Git or SVN to track and manage changes in the codebase
- C. Using third-party tools like Sonatype, SonarQube, or OverOps to analyze code for security defects or bugs in code quality
- D. Using JIRA to track user stories and bug fixes in the development process
- E. Using third-party tools like Ansible, Terraform, or OverOps to analyze code for security defects or bugs in code quality
Answer: A,C
Explanation:
Application Dependency Management (ADM) is a tool used to identify security weaknesses in software applications by analyzing their dependencies. Dependencies can often introduce vulnerabilities, and managing them properly is a critical part of ensuring application security.
Third-party tools like Sonatype and SonarQube can be used to analyze code for security defects or bugs in code quality. These tools help in identifying vulnerabilities, code smells, and other issues, which can improve the overall security and reliability of the code during the build process.
NEW QUESTION # 23
Observability helps understand system behavior, but it has limitations.
Which of the following tasks cannot be accomplished solely through observability?
- A. Identifying infrastructure bottlenecks
- B. Optimizing resource utilization
- C. Automating software deployments
- D. Identifying resource consumption
Answer: C
Explanation:
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.
NEW QUESTION # 24
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 resource requests from pods exceed a configured threshold.
- B. When the rate of requests to the application crosses a configured threshold.
- C. When the CPU or memory utilization crosses a configured threshold.
- D. When the custom metrics from the services exceed a configured threshold.
Answer: A
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 # 25
As a developer working on a software project to be deployed on OKE, you have created a Helm chart for your application. You want to deploy the chart using OCI DevOps service.
Which statement is true about deploying a Helm Chart using OCI DevOps service?
- A. A single chart can be installed only once into the same cluster, and create single release.
- B. The values.yaml file is a generic file located in the OCI Container Registry. You must create a reference to this file.
- C. The Helm charts must be located in the OCI Container Registry repository for deployment.
- D. Oracle Cloud Infrastructure (OCI) DevOps service supports deployment of Helm charts to Container Instances.
Answer: C
Explanation:
OCI DevOps service can be used to deploy Helm charts for Kubernetes-based applications running on Oracle Kubernetes Engine (OKE). For deploying the Helm chart through the OCI DevOps service, the Helm chart must be stored in the OCI Container Registry. This allows the OCI DevOps service to easily access the Helm chart during the deployment process.
NEW QUESTION # 26
You have been asked to provision a new production environment on Oracle Cloud Infrastructure (OCI). After working with the solution architect, you decide that you are going to automate this process.
Which OCI service can help automate the provisioning of this new environment?
- A. OCI Resource Manager
- B. Oracle Functions
- C. OCI Streaming Service
- D. Oracle Container Engine for Kubernetes
Answer: A
Explanation:
OCI Resource Manager is an infrastructure as code (IaC) service that allows you to automate the provisioning of resources on Oracle Cloud Infrastructure (OCI) using Terraform. It is ideal for automating the setup of environments, as it can manage the full lifecycle of your infrastructure in a consistent, repeatable, and version-controlled manner.
NEW QUESTION # 27
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. Creating and managing worker nodes using OCI compute instances
- B. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
- 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
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 # 28
How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications?
- A. By eliminating downtime of production applications
- B. By scaling builds with service-managed build runners
- C. By working with existing Git repositories and CI systems
- D. By reducing change-driven errors introduced by manual deployments
Answer: D
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.
NEW QUESTION # 29
You are a DevOps project administrator. You are creating Oracle Cloud Infrastructure (OCI) Identity and Access Management (IAM) policies that will be used in a DevOps CI/CD pipeline for deployment to an Oracle Container Engine for Kubernetes (OKE) environment.
Which OCI IAM policy can be used?
- A. Allow group <deployment pipeline> to manage devops-family in compartment <compartment name>
- B. Allow dynamic-group <deployment pipeline> to manage all-resources in compartment <compartment name>
- C. Allow dynamic-group <code repository> to manage devops-family in compartment <compartment name>
- D. Allow group <build pipeline> to manage all-resources in compartment <compartment name>
Answer: A
Explanation:
Choosen policy specifies an IAM policy allowing the group (in this case, the deployment pipeline) to manage devops-family resources within a specific compartment. The devops-family is a group of services that includes the OCI DevOps service, which is suitable for managing CI/CD pipelines, deployments, and related operations for an OKE environment.
NEW QUESTION # 30
What are the two items required to create a rule for the Oracle Cloud Infrastructure Events Service? (Choose two.)
- A. Management Agent Cloud Service
- B. Rule Conditions
- C. Service Connector
- D. Auth Token
- E. Actions
Answer: B,E
NEW QUESTION # 31
Which OCI DevOps project resource is responsible for defining the stages for compiling, testing, and running software applications before deployment?
- A. Development pipelines
- B. Build pipelines
- C. Integration pipelines
- D. Deployment pipelines
Answer: B
Explanation:
Build pipelines in OCI DevOps are responsible for defining the stages involved in compiling, testing, and running software applications. These pipelines automate the process of building the code, running unit tests, scanning for vulnerabilities, and packaging the software, all of which occur before deploying the application.
NEW QUESTION # 32
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