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Oracle 1z0-1109-24 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	Managing Containers Using Container Orchestration Engine: This section covers the management of containers using orchestration tools like Kubernetes. Candidates will gain insights into creating, scaling, and optimizing containerized applications within a cloud environment.
Topic 4	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 5	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.

Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q41-Q46):

NEW QUESTION # 41
An operations team is exploring the use of OCI Container Instances to run their container workloads without managing servers.
Which of the following statements is false regarding the use of Container Instances?

A. Billing for Container Instances is based on the allocated CPU and memory resources for each container instance.
B. Container Instances provide a serverless compute service for running containers, eliminating the need for server management.
C. Container Instances require the team to perform provisioning, patching, and ongoing management of servers.
D. The underlying infrastructure for Container Instances is fully managed and hardened by OCI, ensuring reliability and security.

Answer: C

Explanation:
OCI Container Instances are a serverless compute service that allows you to run containerized workloads without managing the underlying infrastructure. Oracle Cloud Infrastructure (OCI) manages provisioning, patching, and all the ongoing server management tasks, providing a fully managed environment.

NEW QUESTION # 42
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?

A. Self-Managed Nodes in OKE
B. Virtual nodes in OKE
C. Container Instances in OCI
D. Managed nodes in OKE

Answer: B

Explanation:
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.

NEW QUESTION # 43
How do OCI DevOps Deployment Pipelines reduce risk and complexity of production applications?

A. By working with existing Git repositories and CI systems
B. By reducing change-driven errors introduced by manual deployments
C. By scaling builds with service-managed build runners
D. By eliminating downtime of production applications

Answer: B

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 # 44
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?

A. 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
B. 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
C. 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
D. 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

Answer: B

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 # 45
As a DevOps engineer working on an OCI project, you're setting up a deployment pipeline to automate your application deployments.
Which statement is false about deployment pipeline in OCI DevOps?

A. You can add a Wait stage that adds a specified duration of delay in the pipeline.
B. Using deployment pipeline, you can deploy helm charts in OCI Function.
C. You can add an Approval stage that pauses the deployment for a specified duration for manual decision from the approver.
D. You can add a Traffic Shift stage that routes the traffic between two environments.

Answer: B

Explanation:
Helm charts are used to manage Kubernetes deployments, not OCI Functions. Helm charts are deployed to Kubernetes clusters, such as OCI Container Engine for Kubernetes (OKE), to manage containerized applications. OCI Functions are serverless and do not use Helm charts for deployment.

NEW QUESTION # 46
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100% Pass Quiz Oracle - High Pass-Rate New 1z0-1109-24 Exam Experience

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Oracle 1z0-1109-24 Exam Syllabus Topics:

Oracle Cloud Infrastructure 2024 DevOps Professional Sample Questions (Q41-Q46):

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