Online Access Free Professional-Cloud-Developer Exam Questions

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 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
• B.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
• C.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
• D.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

You work at a rapidly growing financial technology startup. You manage the payment processing application written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.
The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that require customer data to reside in the country where the transaction was made. You want to minimize the cost of these deployments. What should you do?

• A.Create a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region.
• B.Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region.
• C.Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.
• D.Create a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.

HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?

• A.Use the Cloud Data Loss Prevention API for redaction of the review dataset.
• B.Use the Cloud Natural Language Processing API for redaction of the review dataset.
• C.Use the Cloud Data Loss Prevention API for de-identification of the review dataset.
• D.Use the Cloud Natural Language Processing API for de-identification of the review dataset.

You are using Cloud Run to host a web application. You need to securely obtain the application project ID and region where the application is running and display this information to users. You want to use the most performant approach. What should you do?

• A.In the Google Cloud console, navigate to the Project Dashboard and gather configuration details.
  Navigate to the Cloud Run "Variables & Secrets" tab, and add the desired environment variables in Key:Value format.
• B.In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration information to Cloud Run's in-memory container filesystem.
• C.Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.
• D.Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application. You want to configure the architecture using managed services where possible What should you do?

• A.Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.
• B.Host the application on Google Kubernetes Engine and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.
• C.Host the application on Compute Engine, and configure Cloud Endpoints for your application.
• D.Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.