Google PROFESSIONAL-CLOUD-DEVELOPER Online Practice Questions and Exam Preparation

Google PROFESSIONAL-CLOUD-DEVELOPER Online Questions & Answers

• Question 391:

  You want to route HTTP traffic to different backend services based on URL paths in GKE.

  What should you configure?

  A. NodePort Service
  B. Ingress resource
  C. DaemonSet
  D. ConfigMap
  B. Ingress resource

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  Explanation

  Ingress resources define HTTP(S) routing rules, including path-based routing to different backend services in GKE.

• Question 392:

  You recently joined a new team that has a Cloud Spanner database instance running in production. Your manager has asked you to optimize the Spanner instance to reduce cost while maintaining high reliability and availability of the database.

  What should you do?

  A. Use Cloud Logging to check for error logs, and reduce Spanner processing units by small increments until you find the minimum capacity required.
  B. Use Cloud Trace to monitor the requests per sec of incoming requests to Spanner, and reduce Spanner processing units by small increments until you find the minimum capacity required.
  C. Use Cloud Monitoring to monitor the CPU utilization, and reduce Spanner processing units by small increments until you find the minimum capacity required.
  D. Use Snapshot Debugger to check for application errors, and reduce Spanner processing units by small increments until you find the minimum capacity required.
  C. Use Cloud Monitoring to monitor the CPU utilization, and reduce Spanner processing units by small increments until you find the minimum capacity required.

• Question 393:

  Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.

  How should you perform reads from Cloud Spanner for this application?

  A. Perform Read-Only transactions.
  B. Perform stale reads using single-read methods.
  C. Perform strong reads using single-read methods.
  D. Perform stale reads using read-write transactions.
  B. Perform stale reads using single-read methods.

• Question 394:

  Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B. You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing.

  What should you do?

  A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
  B. Use the gcloud CLI to write mock messages to topic
  C. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/ Sub topics. Write mock messages to topic A, and then analyze the logs.
  D. Use the Google Cloud console to write mock messages to topic
  A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

• Question 395:

  You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible.

  What should you do?

  A. Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
  B. Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
  C. Install a GKE cluster in each environment with Anthos, and use Cloud Build to create a Deployment for your application in each cluster.
  D. Create a GKE cluster in the cloud and install open-source Kubernetes on-premises. Use an external load balancer service to distribute traffic across the two environments.
  B. Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.

• Question 396:

  You are writing from a Go application to a Cloud Spanner database. You want to optimize your application's performance using Google-recommended best practices.

  What should you do?

  A. Write to Cloud Spanner using Cloud Client Libraries.
  B. Write to Cloud Spanner using Google API Client Libraries
  C. Write to Cloud Spanner using a custom gRPC client library.
  D. Write to Cloud Spanner using a third-party HTTP client library.
  A. Write to Cloud Spanner using Cloud Client Libraries.

• Question 397:

  You have a mixture of packaged and internally developed applications hosted on a Compute Engine instance that is running Linux. These applications write log records as text in local files. You want the logs to be written to Cloud Logging.

  What should you do?

  A. Pipe the content of the files to the Linux Syslog daemon.
  B. Install a Google version of fluentd on the Compute Engine instance.
  C. Install a Google version of collectd on the Compute Engine instance.
  D. Using cron, schedule a job to copy the log files to Cloud Storage once a day.
  B. Install a Google version of fluentd on the Compute Engine instance.

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  Explanation

  https://cloud.google.com/logging/docs/agent/logging/configuration

• Question 398:

  You are a lead developer at an organization that recently integrated several Google Cloud services. These services are located within Virtual Private Cloud (VPC) environments that are secured with VPC Service Controls and Private Service Connect endpoints. Developers across your organization use different operating systems, development frameworks, and integrated development environments (IDEs). You need to recommend a developer environment that will ensure consistency in the developer process and improve the overall developer experience. You want this solution to:

  1. Enforce consistent security controls.

  2. Have access to Google Cloud resources and applications within the VPC.

  3. Allow the installation of custom tools and utilities on the development environments.

  What solution should you recommend?

  A. Use Cloud Workstations, and allow developers to create their own custom images.
  B. Use Cloud Workstations with preconfigured base images. For custom tools and utilities, use custom images that are rebuilt weekly.
  C. Use the Cloud Code extension with the IDEs that are used across the organization. Configure Cloud VPN to enable VPC access.
  D. Use the Cloud Code extension with the IDEs that are used across the organization. Use Identity-Aware Proxy to enable access to the services in the VPC.
  B. Use Cloud Workstations with preconfigured base images. For custom tools and utilities, use custom images that are rebuilt weekly.

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  Explanation

  https://cloud.google.com/apigee/docs/api-platform/fundamentals/environments-overview

• Question 399:

  You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.

  You want to scale your GKE Deployment to be able to process messages in a timely manner.

  What GKE feature should you use to automatically adapt your workload?

  A. Vertical Pod Autoscaler in Auto mode
  B. Vertical Pod Autoscaler in Recommendation mode
  C. Horizontal Pod Autoscaler based on an external metric
  D. Horizontal Pod Autoscaler based on resources utilization
  C. Horizontal Pod Autoscaler based on an external metric

• Question 400:

  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
  B. Cloud Endpoints