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Oracle 1z0-1109-24 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	Implementing Monitoring and Observability (O&M): This section targets Oracle Cloud Infrastructure DevOps engineers and developers and focuses on implementing monitoring and observability practices within a DevOps framework. Candidates will learn about tools and techniques for tracking application performance, analyzing logs, and managing events to ensure system reliability.

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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q31-Q36):

NEW QUESTION # 31
As a DevOps engineer working on managing clusters on the OCI platform for your organization, which statement is true about managing cluster add-ons in OCI OKE Cluster?

A. When creating a new cluster, essential cluster add-ons cannot be disabled.
B. When creating a new cluster, essential cluster add-ons are set to manually update.
C. When enabling a cluster add-on, you cannot configure the add-on by specifying one or more key/value pairs to pass as arguments to the cluster add-on.
D. When you disable a cluster add-on using the console, the add-on is completely removed from the cluster.

Answer: A

Explanation:
Essential cluster add-ons are required for the basic functioning of the Kubernetes cluster and cannot be disabled during cluster creation. These add-ons provide necessary features such as core DNS, networking, and other critical functionalities for the cluster's operation.

NEW QUESTION # 32
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 a set of stages for your build process for building, testing and compiling software artifacts.
C. It is used to store, manage, develop source code with OCI DevOps Code Repositories.
D. It takes a commit ID from your source code repositories and uses that source code to run your build instructions.

Answer: A

Explanation:
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.

NEW QUESTION # 33
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, and ensuring that the CUDA libraries for different GPUs are pre-installed on the worker nodes
B. 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
C. 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
D. 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

Answer: C

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 # 34
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. Using Kubernetes cluster add-ons to automate worker node management
C. Creating and managing worker nodes using OCI compute instances
D. Using OCI OKE managed nodes with cluster autoscalers to eliminate worker node infrastructure management

Answer: A

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 # 35
As a DevOps engineer working on containerizing a microservices-based application to be hosted on OCI Cloud platforms, which step can help ensure that the container images have not been modified after being pushed to Oracle Cloud Infrastructure Registry (OCIR)?

A. Signing the image using the Container Registry CLI and creating an image signature that associates the image with the master encryption key and key version in the Vault service
B. Scanning the image upon ingestion and comparing the image size for changes
C. Enabling scanning of container images stored in OCI Registry
D. Deploying a manifest to the Kubernetes cluster that references the container image and its unique hash

Answer: A

Explanation:
To ensure that container images have not been modified after being pushed to the Oracle Cloud Infrastructure Registry (OCIR), you should sign the image. This involves using the Container Registry CLI to create a digital signature for the image, which associates the image with a master encryption key and key version stored in the OCI Vault service. This signature can then be verified at the time of deployment, ensuring that the image has not been tampered with since it was signed.

NEW QUESTION # 36
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PASS GUARANTEED QUIZ 2025 ORACLE 1Z0-1109-24: HIGH HIT-RATE ORACLE CLOUD INFRASTRUCTURE 2024 DEVOPS PROFESSIONAL SURE PASS

Pass Guaranteed Quiz 2025 Oracle 1z0-1109-24: High Hit-Rate Oracle Cloud Infrastructure 2024 DevOps Professional Sure Pass