An organization is operating multiple workloads in containers and requires full control of how the workloads are configured. Which Google Cloud service should the organization use?
C. Kubernetes Engine.
Google Kubernetes Engine (GKE) is a fully managed service for running and orchestrating containerized applications. It gives organizations full control over how their workloads are configured and managed by allowing them to define their containers' infrastructure, networking, scaling, and deployment strategies. GKE provides advanced features like automatic scaling, rolling updates, and detailed configuration options, making it ideal for organizations that require granular control over their containerized workloads.
Why the other options are incorrect:
A. Cloud Run: Cloud Run is a fully managed compute platform for running stateless containers. While it abstracts away much of the infrastructure management, it does not provide as much control over configuration as GKE. It is designed to simplify container deployment, but it might not be suitable if you need full control over container orchestration and detailed configurations.
B. Compute Engine: Compute Engine provides virtual machines (VMs) for running workloads, but it is not specifically designed for container orchestration. While you can run containers on VMs in Compute Engine, it doesn't provide the same level of flexibility, scalability, or management capabilities as Kubernetes Engine when it comes to containerized workloads.
D. Cloud Functions: Cloud Functions is a serverless compute service that is designed to run small, event-driven functions. It is not intended for running or managing containerized workloads. If an organization requires full control over container configurations, Cloud Functions wouldn't be the appropriate choice, as it focuses on short-lived, serverless execution.
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