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Oracle 1z0-1109-24 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

Understand DevOps Principles and Effectively Work with Containerization Services: This domain measures the skills of DevOps Professionals and focuses on the foundational principles of DevOps and the role of containerization in modern software development. Candidates will learn how containerization enables packaging applications and their dependencies into isolated environments, promoting consistency across different deployment stages.

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

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.

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Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q37-Q42):

NEW QUESTION # 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. Oracle Cloud Logging Analytics
B. Oracle APEX Application Development
C. DevOps project
D. Container Engine for Kubernetes
E. Oracle Cloud Infrastructure Registry

Answer: C,D,E

Explanation:
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.

NEW QUESTION # 38
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. Automate back up and use the rerelease stage in the Deployment Pipeline.
B. Roll back the failed stage in the pipeline to the previous successful released version
C. Use OCI DevOps Trigger and Rerun tool to avoid downtime.
D. Add Rescue and Trigger stages to automatically trigger the failed deployment.

Answer: B

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 # 39
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 custom metrics from the services exceed a configured threshold.
C. When the rate of requests to the application crosses a configured threshold.
D. When the CPU or memory utilization crosses 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 # 40
A fully qualified path to a particular image in an OCIR repository is given as iad.ocir.io/ansh81vru1zp/project01/acme-web-app:version2.0.test.
Identify the two options with correct terms and their associated values. (Choose two.)

A. version2.0.test represents <tenancy-namespace>
B. ansh81vru1zp represents <tenancy-namespace>
C. ansh81vru1zp/project01/acme-web-app:version2.0.test represents <repo-name>
D. iad.ocir.io/ansh81vru1zp represents <region-key>
E. iad represents <region-key>

Answer: B,E

Explanation:
ansh81vru1zp is the <tenancy-namespace>. In Oracle Cloud Infrastructure Registry (OCIR), the tenancy namespace uniquely identifies the tenancy and is used as part of the image path.
iad is the <region-key>. The region key is the shorthand identifier for the OCI region (iad represents Ashburn region), and it is used in the fully qualified path for images stored in the Oracle Cloud Infrastructure Registry (OCIR).

NEW QUESTION # 41
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. 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: 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 # 42
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