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NEW QUESTION # 15
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?
Answer: A
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 # 16
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?
Answer: D
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 # 17
You are using the Oracle Cloud Infrastructure (OCI) DevOps service and you have successfully built and tested your software applications in your Build Pipeline. The resulting output needs to be stored in a container repository.
Which stage should you add next to your Build Pipeline?
Answer: A
Explanation:
Step 1: Understanding the Requirement
The objective is to store the resulting build output from a Build Pipeline in a container repository. In OCI DevOps, the build output is stored as an artifact, which can include Docker images or other build-generated files. To store these artifacts in a container repository, you need to explicitly deliver artifacts in the pipeline.
Step 2: Explanation of the Options
A . Trigger deployment
This stage is used to trigger a deployment pipeline, which comes after the artifacts are already stored and prepared for deployment.
Not applicable: This stage is downstream of storing artifacts and is used for deploying software, not for saving the build output to a repository.
B . Managed build
The managed build stage is where you compile, test, and package the application. This has already been completed successfully according to the question.
Not applicable: The question specifies that the build has been completed, so this stage is not relevant at this point.
C . Deliver artifacts
The Deliver Artifacts stage in OCI DevOps pipelines is designed to store the output of the build process in an artifact repository, such as:
OCI Container Registry (OCIR) for Docker images.
Artifact Registry for build artifacts like binaries or JAR files.
Applicable and Correct answer: This is the correct next step for storing the resulting D . Export packages This is not a standard OCI DevOps pipeline stage. It may be relevant in other contexts but is not related to OCI DevOps for storing build artifacts.
Step 3: Key Concepts of "Deliver Artifacts" in OCI DevOps
Purpose: Save build outputs (artifacts) to an artifact repository.
Artifact Types: Includes Docker container images, binaries, JAR files, or other build outputs.
Repositories Supported:
OCI Container Registry (OCIR)
OCI Artifact Registry
Configuration:
Specify the artifact source (build stage output).
Define the destination repository (e.g., OCIR).
Step 4: References and OCI Resources
OCI DevOps Build Pipelines:
Build Pipeline Documentation
Deliver Artifacts Stage
OCI Container Registry (OCIR):
OCI Container Registry Overview
OCI Artifact Registry:
OCI Artifact Registry Overview
NEW QUESTION # 18
How does the Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) Cluster Autoscaler determine when to create new nodes for an OKE cluster?
Answer: D
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 # 19
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?
Answer: A
Explanation:
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.
NEW QUESTION # 20
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