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A DevOps team is deploying a new version of their application to their production environment using the Canary deployment strategy in the OCI DevOps service. They want to ensure that the production environment is not affected by any potential issues caused by the new version.
Which statement is true in regards to the Canary deployment strategy?
See the explanation below.
In a Canary deployment strategy, a new version of an application is rolled out to a small subset of the production environment (the canary) first, while the majority of the production environment still runs the current stable version. This approach helps to detect potential issues before the new version is fully deployed.
The Invoke Function stage can be used as an optional step in the deployment pipeline to run additional validation (e.g., automated tests or other checks) on the new version before gradually shifting more traffic to it or moving to full production deployment.
An operations team wants to leverage the advanced features of Container Engine for Kubernetes (OKE) and requires granular control over cluster add-ons, workload identity, and improved worker node management. They also prioritize strong security measures and require a financially-backed service level agreement (SLA) for Kubernetes API server uptime.
Which type of cluster should they choose to meet their requirements?
See the explanation below.
Enhanced clusters in Oracle Container Engine for Kubernetes (OKE) provide advanced features such as granular control over cluster add-ons, workload identity, and improved worker node management. They also offer strong security measures and come with a financially-backed service level agreement (SLA) for Kubernetes API server uptime, ensuring higher reliability and support for production workloads.
How can you run applications on GPU worker nodes in clusters created using Container Engine for Kubernetes (OKE)?
See the explanation below.
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 to deploy your application on an Oracle Container Engine for Kubernetes (OKE) environment. You push your code to the OCI Code Repository, add all the required stage and configure the build and deployment pipeline. When you run the build, you see "unable to clone the repository" error.
What could the configuration error be?
See the explanation below.
The error 'unable to clone the repository' typically indicates that there is an authentication or authorization issue preventing access to the OCI Code Repository. In OCI DevOps, the build pipeline must have the appropriate permissions to access the code repository.
To allow the build pipeline to clone the repository, you need to set up Dynamic Groups and OCI IAM policies that provide the necessary permissions for the build runner to access the code repository.
A small company is moving to a DevOps framework to better accommodate their intermittent workloads, which are dynamic and irregular. They want to adopt a consumption-based pricing model.
Which Oracle Cloud Infrastructure service can be used as a target deployment environment?
See the explanation below.
Oracle Cloud Infrastructure Functions is a serverless compute service that supports a consumption-based pricing model. This means that you are only charged for the compute resources when your function is invoked. This is ideal for intermittent, dynamic, and irregular workloads since the company does not need to provision infrastructure in advance, and costs are directly tied to usage.
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