2.4 Planning and Implementing Resources Using Tooling ASSOCIATE-CLOUD-ENGINEER Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A cloud engineer is writing a Terraform configuration for a new GCP environment. They are unsure about the correct syntax for a `google_compute_instance` resource and want to generate a draft, get an explanation of the parameters, and validate the code before running `terraform plan`. Which tool should they use?

   • AUse the Cloud Console to create a VM and then use `terraform import` to generate the configuration.
   • BUse `gcloud compute instances create` with all flags and copy the output to a Terraform file.
   • CUse Helm to create a chart for the VM and deploy it to GKE.
   • DUse the Gemini CLI to generate the Terraform code, ask for an explanation of the resource block, and run `terraform validate`.
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2. 17foundation · easy

   Which statement best describes the core benefit of using Infrastructure as Code (IaC) to manage cloud resources?

   • AIt eliminates the need for any manual configuration or troubleshooting.
   • BIt guarantees that all cloud resources will be created in the cheapest possible configuration.
   • CIt allows infrastructure to be defined in declarative or imperative files that can be version-controlled and reused.
   • DIt automatically provisions resources without requiring any cloud provider credentials.
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4. 18foundation · easy

   Which command is used to deploy a Helm chart to a Kubernetes cluster?

   • Ahelm apply
   • Bhelm create
   • Chelm deploy
   • Dhelm install
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5. 19application · medium

   An organization wants to manage their GCP resources, such as Cloud Storage buckets and IAM policies, using the same GitOps workflow they use for their Kubernetes applications. They have a GKE cluster and want to use `kubectl` to apply changes. What should they use?

   • AUse `gcloud` commands in a CI/CD pipeline to manage the resources.
   • BInstall Config Connector and create custom resources for the GCP resources.
   • CUse Terraform with a Kubernetes backend to store state in the cluster.
   • DUse Helm charts to define the GCP resources and deploy them to the cluster.
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6. 20application · medium

   A company deploys a microservices application to a GKE cluster. They want to package all Kubernetes manifests (Deployments, Services, ConfigMaps) into a single versioned unit that can be rolled back easily and reused across multiple environments (dev, staging, prod). The team already uses Terraform to provision the GKE cluster itself. What should they use to manage the application deployment?

   • ACreate a Helm chart with templates for all resources and use `helm install` and `helm upgrade` with different values files per environment.
   • BStore raw YAML files in a Git repository and apply them with `kubectl apply -f` in each environment.
   • CWrite a Terraform module that includes `kubernetes_deployment` and `kubernetes_service` resources and apply it after the cluster is created.
   • DUse Config Connector to define the application resources as Kubernetes custom resources in the cluster.
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