You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE). The DevOps team has built a CI/CD pipeline that uses Cloud Deploy to deploy the application to Dev Test, and Prod clusters in GKE. After Cloud Deploy successfully deploys the application to the Dev cluster you want to automatically promote it to the Test Cluster. How should you configure this process following Google-recommended best practices?

• A.1 Create a Cloud Build pipeline that uses the gke-deploy builder
  2 Create a Cloud Build trigger that listens to SUCCEEDED Pub/Sub messages from the cloud-builds topic
  3 Configure this pipeline to run a deployment step to the Test cluster
• B.1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
  2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the cloud-builds topic
• C.1 Create a Cloud Build trigger that listens for SUCCEEDED Pub/Sub messages from the clouddeploy-operations topic.
  2 Configure Cloud Build to include a step that promotes the application to the Test cluster
• D.1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
  2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the clouddeploy operations topic

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Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster. The service will need to scale as quickly as possible to respond to changing load. What should you do?

• A.Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
• B.Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
• C.Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
• D.Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.

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You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

• A.1) Download the service account's key file in JSON format, and store it locally on your laptop.
  2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.
• B.1) Run the following command from a command line: gcloud config set
  auth/impersonate_service_account [email protected].
  2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.
• C.1) Run the following command from a command line: gcloud auth application-default login.
  2) In the browser window that opens, authenticate using your personal credentials.
• D.1) Store the service account's key file in JSON format in Hashicorp Vault.
  2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.

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You plan to make a simple HTML application available on the internet. This site keeps information about FAQs for your application. The application is static and contains images, HTML, CSS, and Javascript. You want to make this application available on the internet with as few steps as possible.
What should you do?

• A.Upload your application to Cloud Storage.
• B.Upload your application to an App Engine environment.
• C.Create a Compute Engine instance with Apache web server installed. Configure Apache web server to host the application.
• D.Containerize your application first. Deploy this container to Google Kubernetes Engine (GKE) and assign an external IP address to the GKE pod hosting the application.

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You need to build a public API that authenticates, enforces quotas, and reports metrics for API callers. Which tool should you use to complete this architecture?

• A.App Engine
• B.Cloud Endpoints
• C.Identity-Aware Proxy
• D.GKE Ingress for HTTP(S) Load Balancing

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