Oracle 1Z0-1109-24 Exam Dumps

Get All Oracle Cloud Infrastructure 2024 DevOps Professional Exam Questions with Validated Answers

1Z0-1109-24 Pack
Vendor: Oracle
Exam Code: 1Z0-1109-24
Exam Name: Oracle Cloud Infrastructure 2024 DevOps Professional
Exam Questions: 50
Last Updated: July 10, 2026
Related Certifications: Oracle Cloud , Oracle Cloud Infrastructure
Exam Tags: Professional Oracle Cloud Infrastructure DevOps engineers and developers
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Free Oracle 1Z0-1109-24 Exam Actual Questions

Question No. 1

A team wants to deploy artificial intelligence and machine learning workloads in their OCI Container Engine for Kubernetes (OKE) cluster. They prioritize strong isolation, cost-efficiency, and the ability to leverage serverless capabilities.

Which solution is best suited for their requirements?

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Correct Answer: A

Virtual nodes in OKE provide a serverless experience for deploying Kubernetes workloads, which means you do not have to manage or scale the underlying infrastructure. This solution is particularly cost-efficient because you only pay for the resources used by the pods, and it provides strong isolation for workloads.

Virtual nodes are well suited for AI/ML workloads as they allow users to easily scale compute resources without being constrained by the limits of individual worker nodes.


Question No. 2

A DevOps engineer is asked to access an Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) cluster to deploy new applications and manage existing ones.

Which two statements are true? (Choose two.)

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Correct Answer: A, B

To access an OKE cluster using kubectl, you need to set up a Kubernetes configuration file (kubeconfig). By default, the kubeconfig file is named config and stored in the $HOME/.kube directory.

When a cluster's Kubernetes API endpoint has a public IP address, you can use Cloud Shell to access the cluster. Setting up a kubeconfig file is required to authenticate and manage the cluster.


Question No. 3

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?

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Correct Answer: D

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.


Question No. 4

Observability helps understand system behavior, but it has limitations.

Which of the following tasks cannot be accomplished solely through observability?

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Correct Answer: B

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.


Question No. 5

Your team is working on a project to deploy a microservices-based application on a cloud platform using Terraform. Each microservice has specific configurations and dependencies, and you want to ensure modularity, reusability, and consistency across deployments.

Which Terraform feature would you use to achieve these objectives efficiently?

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Correct Answer: D

Terraform Modules are used to organize and group related configuration resources into reusable components. By using modules, you can achieve modularity, reusability, and consistency across different deployments, making it easier to manage complex infrastructure setups.

For a microservices-based application, where each microservice has specific configurations and dependencies, modules allow you to define the infrastructure for each microservice in a modular way. This helps to maintain clean, reusable code and ensures consistency across deployments.


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