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As a DevOps Engineer, you are tasked with explaining the key concepts of Terraform to a new team member. You want to ensure they understand the fundamental concepts of Terraform.
Which of the following best describes the purpose of Terraform variables?
Terraform variables are used to define input values for Terraform configurations. They allow users to customize infrastructure deployments by providing different values without modifying the configuration files themselves. Variables help in creating reusable infrastructure code, making it easy to maintain and adjust the infrastructure setup according to different environments or needs.
You are a developer and have been asked to develop an e-commerce website for your organization. It must support a variety of clients including desktop browsers, mobile browsers and native mobile applications.
Which two approaches can you use to build the application to achieve deployment independence, easier technology upgrades, and resiliency to architecture changes? (Choose two.)
By implementing each module as an independent service/process (which is a core feature of microservices architecture), you can replace, update, or delete services without affecting the rest of the application. This ensures deployment independence and makes it easier to adapt to architecture changes or technology upgrades without major disruptions.
Microservices architecture allows each service to be built with the best-suited technology stack for its specific function. This flexibility ensures that you are not tied to a single technology for the entire application, making future technology upgrades easier and eliminating long-term technology commitments.
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?
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.
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?
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.
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?
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.
