Free Google Professional-Cloud-Developer Exam Questions

Question 1

You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

A : eate a Cloud Function that consumes the Cloud Monitoring API. Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold

B : vigate to the Cloud Run page in the Google Cloud console, and select the service from the services list. Use the Metrics tab to visualize the number of errors for that revision, and refresh the page daily.

C : eate an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.

D : eate a Cloud Function that consumes the Cloud Monitoring API. Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.

Answer: C

Question 2

Your application will be deployed on a Compute Engine instance that will communicate with Cloud SQL. In order to allow communication between the application and the database using the service account associated with the instance, you will use Cloud SQL Proxy. It is recommended by Google to provide minimum access for the role assigned to the service account, which you intend to follow as a best practice.

What actions do you recommend taking?

A : Assign the Project Editor role.

B : Assign the Cloud SQL Client role.

C : Assign the Project Owner role.

D : Assign the Cloud SQL Editor role.

Answer: B

Question 3

A CI/CD pipeline is being developed, which includes a version control system, Cloud Build, and Container Registry. Whenever a new tag is added to the repository, a Cloud Build job is activated. This job performs unit tests on the latest code, creates a new Docker container image, and saves it to the Container Registry. The final phase of the pipeline is to deploy the updated container to the production Google Kubernetes Engine (GKE) cluster.

What options are available to choose a tool and deployment strategy that satisfies these conditions:

• No downtime should be experienced

• Automated testing should be comprehensive

• Testing before release should be possible

• Quick rollbacks should be supported

A : Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if successful, deploy the container to production.

B : Trigger a Cloud Build job that utilizes Kubernetes CLI tools to deploy your new container to your GKE cluster, allowing for a canary test.

C : Trigger a Cloud Build job that utilizes Kubernetes CLI tools to deploy your new container to your GKE cluster, allowing for a shadow test.

D : Trigger a Spinnaker pipeline configured as a canary test of your new code and, if successful, deploy the container to production.

Answer: C

Question 4

The application on Google Kubernetes Engine (GKE) is currently using a logging library and outputting to standard output. To export the logs to Cloud Logging, including metadata about each request, the simplest method will be used.

What actions are recommended?

A : Change your application's logging library to the Cloud Logging library, and configure your application to export logs to Cloud Logging.

B : Update your application to output logs in JSON format, and include the required metadata in the JSON.

C : Modify your application to output logs in CSV format, and add the necessary metadata to the CSV.

D : Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/log.

Answer: C

Question 5

You are developing a new application that has the following design requirements:

Creation and changes to the application infrastructure are versioned and auditable.

The application and deployment infrastructure uses Google-managed services as much as possible.

The application runs on a serverless compute platform.

How should you design the application’s architecture?

A : 1. Store the application and infrastructure source code in a Git repository.2. Use Cloud Build to deploy the application infrastructure with Terraform.3. Deploy the application to a Cloud Function as a pipeline step.

B : 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline inJenkins.2. Configure a pipeline step to pull the application source code from a Git repository.3. Deploy the application source code to App Engine as a pipeline step.

C : 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy theapplication infrastructure using Deployment Manager templates.2. Configure a pipeline step to create a container with the latest application source code.3. Deploy the container to a Compute Engine instance as a pipeline step.

D : 1. Deploy the application infrastructure using gcloud commands.2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code.3. Configure a pipeline step to pull the application source code from a Git repository, and create acontainerized application.4. Deploy the new container on Cloud Run as a pipeline step.

Answer: D