Professional-Cloud-Developer Exam Dumps - Google Certified Professional - Cloud Developer

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Question # 17

The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.

Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.

Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.

Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

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Question # 18

You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?

Use Cloud Code to develop applications.

Use the Cloud Shell integrated Code Editor to edit code and configuration files.

Use a Cloud Notebook instance to ingest and process data and deploy models.

Use Cloud Shell to manage your infrastructure and applications from the command line.

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Question # 19

You have an application running in App Engine. Your application is instrumented with Stackdriver Trace. The /product-details request reports details about four known unique products at /sku-details as shown below. You want to reduce the time it takes for the request to complete. What should you do?

Increase the size of the instance class.

Change the Persistent Disk type to SSD.

Change /product-details to perform the requests in parallel.

Store the /sku-details information in a database, and replace the webservice call with a database query.

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Question # 20

A governmental regulation was recently passed that affects your application. For compliance purposes, you are now required to send a duplicate of specific application logs from your application's project to a project that is restricted to the security team. What should you do?

Modify the _Default tog bucket sink rules to reroute the logs into the security team's log bucket.

Create user-defined log buckets in the security team's project. Configure a Cloud Logging sink to route your application s logs to log buckets in the security team's project.

Create a job that copies the System Event logs from the _Required log bucket into the security team's log bucket in their project.

Create a job that copies the togs from the _Required log bucket into the security team's log bucket in their project.

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Question # 21

Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to

Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.

How should you handle this error?

Add a cache-control header to the objects.

Request a quota increase from the GCP Console.

Retry the request with a truncated exponential backoff strategy.

Change the storage class of the Cloud Storage bucket to Multi-regional.

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Question # 22

You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE). Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)

Use the service account attached to the GKE node.

Enable Workload Identity in the cluster via the gcloud command-line tool.

Access the Google service account keys from a secret management service.

Store the Google service account keys in a central secret management service.

Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

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Question # 23

You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The

build process requires a build tool not available in the Cloud Build environment.

What should you do?

Download the binary from the internet during the build process.

Build a custom cloud builder image and reference the image in your build steps.

Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.

Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud

Build public Issue Tracker.

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Question # 24

You are creating and running containers across different projects in Google Cloud. The application you are developing needs to access Google Cloud services from within Google Kubernetes Engine (GKE).

What should you do?

Assign a Google service account to the GKE nodes.

Use a Google service account to run the Pod with Workload Identity.

Store the Google service account credentials as a Kubernetes Secret.

Use a Google service account with GKE role-based access control (RBAC).

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