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Google Certified Professional - Cloud Developer

Last Update 13 hours ago Total Questions : 265

The Google Certified Professional - Cloud Developer content is now fully updated, with all current exam questions added 13 hours ago. Deciding to include Professional-Cloud-Developer practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our Professional-Cloud-Developer exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Professional-Cloud-Developer sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Certified Professional - Cloud Developer practice test comfortably within the allotted time.

Question # 41

HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.

Which configuration should they choose?

A.

Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on

Compute Engine.

B.

Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an

external master configuration.

C.

Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.

D.

Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy

without further configuration.

Question # 42

HipLocal is configuring their access controls.

Which firewall configuration should they implement?

A.

Block all traffic on port 443.

B.

Allow all traffic into the network.

C.

Allow traffic on port 443 for a specific tag.

D.

Allow all traffic on port 443 into the network.

Question # 43

You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application

can scale horizontally, and each instance of your application needs to have a stable network identity and its

own persistent disk.

Which GKE object should you use?

A.

Deployment

B.

StatefulSet

C.

ReplicaSet

D.

ReplicaController

Question # 44

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:

• Test frequent local changes automatically.

• Local deployment emulates production deployment.

Which tools should you use to test building and running a container on your laptop using minimal resources ' ?

A.

Terraform and kubeadm

B.

Docker Compose and dockerd

C.

Minikube and Skaffold

D.

kaniko and Tekton

Question # 45

Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?

A)

Manually copy the photos to webphotos-prod.

B)

Add a startup script in the application’s app.yami file to move the photos from webphotos-staging to webphotos-prod.

C)

Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:

D)

Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Question # 46

You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.

What should you do?

A.

Use FTP to upload files.

B.

Use CPanel to upload files.

C.

Use signed URLs to upload files.

D.

Change the API to be a multipart file upload API.

Question # 47

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 Compute Engine, and configure Cloud Endpoints for your application.

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 Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.

D.

Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.

Question # 48

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.

Question # 49

You have an HTTP Cloud Function that is called via POST. Each submission’s request body has a flat, unnested JSON structure containing numeric and text data. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?

A.

Directly persist each POST request’s JSON data into Datastore.

B.

Transform the POST request’s JSON data, and stream it into BigQuery.

C.

Transform the POST request’s JSON data, and store it in a regional Cloud SQL cluster.

D.

Persist each POST request’s JSON data as an individual file within Cloud Storage, with the file name containing the request identifier.

Question # 50

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.

Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

B.

In the Google Cloud console, navigate to the Project Dashboard and gather configuration detail s. Navigate to the Cloud Run “Variables & Secrets” tab, and add the desired environment variables in Key:Value format.

C.

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration i nformation to Cloud Run ' s in-memory container filesystem.

D.

Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.

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