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100% Pass Oracle - Valid 1Z0-1109-25 Hot Questions

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Oracle 1Z0-1109-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Understand DevOps Principles and Effectively Work with Containerization Services: This section of the exam measures the skills of DevOps Engineers and Cloud Architects in applying DevOps methodologies and containerization practices. It covers implementing a microservices architecture, creating Docker containers, and managing Oracle Cloud Infrastructure Registry (OCIR) and Container Instances to streamline application deployment and scalability.

Topic 2

Managing Containers Using Container Orchestration Engine: This part assesses the abilities of Kubernetes Administrators and Containerization Specialists in managing Oracle Container Engine for Kubernetes (OKE). It covers cluster creation, scaling, upgrades, networking, storage, and security configurations to optimize containerized applications in OCI environments.

Topic 3

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 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 (Q14-Q19):

NEW QUESTION # 14
Which statement is false about OCI Resource Manager (RM)?

A. RM can render custom "Application Information" pages for stacks.
B. Resources provisioned through RM cannot be destroyed from outside of RM.
C. RM can generate Terraform based on the resources in a compartment.
D. RM can mirror repositories from GitHub and GitLab.

Answer: B

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 # 15
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 managed nodes with cluster autoscalers to eliminate worker node infrastructure management
C. Using OCI OKE virtual nodes to eliminate worker node infrastructure management
D. Creating and managing worker nodes using OCI compute instances

Answer: C

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 # 16
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. 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.
C. Storing build artifacts in registries helps the deployment pipeline differentiate output artifacts created by the build pipeline from artifacts copied from a Git repository.
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 # 17
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 oversees the scheduling and allocation of cluster resources, ensuring optimal utilization across nodes.
B. The Master node is primarily tasked with executing application workloads and ensuring their availability within the cluster.
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: A

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 # 18
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 Canary deployment strategy only supports pipeline redeployment for OKE and not for instance group deployments.
B. The Shift Traffic stage in the Canary deployment strategy shifts the entire 100% of the production traffic to the Canary environment.
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 Production stage in the Canary deployment strategy deploys the new version to the production environment without any manual approval.

Answer: C

Explanation:
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.

NEW QUESTION # 19
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James Ward James Ward

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