[2025] Google Professional-Cloud-Developer Questions: Fosters Your Exam Passing Abilities

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Google Professional-Cloud-Developer certification is a valuable credential for developers who want to demonstrate their expertise in cloud application development using Google Cloud Platform. Google Certified Professional - Cloud Developer certification validates the candidate's skills and knowledge in this area and can increase their earning potential and open up new career opportunities. Professional-Cloud-Developer Exam is designed for developers with at least three years of experience in software development and at least one year of experience working with Google Cloud Platform.

Google Certified Professional - Cloud Developer Sample Questions (Q41-Q46):

NEW QUESTION # 41
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud.
What should you do?

A. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
B. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.
C. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
D. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.

Answer: B

NEW QUESTION # 42
You have an application deployed in Google Kubernetes Engine (GKE). You need to update the application to make authorized requests to Google Cloud managed services. You want this to be a one-time setup, and you need to follow security best practices of auto-rotating your security keys and storing them in an encrypted store. You already created a service account with appropriate access to the Google Cloud service. What should you do next?

A. Assign the Google Cloud service account to your GKE Pod using Workload Identity.
B. Export the Google Cloud service account, and embed it in the source code of the application.
C. Export the Google Cloud service account, and upload it to HashiCorp Vault to generate a dynamic service account for your application.
D. Export the Google Cloud service account, and share it with the Pod as a Kubernetes Secret.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity Applications running on GKE might need access to Google Cloud APIs such as Compute Engine API, BigQuery Storage API, or Machine Learning APIs.
Workload Identity allows a Kubernetes service account in your GKE cluster to act as an IAM service account.
Pods that use the configured Kubernetes service account automatically authenticate as the IAM service account when accessing Google Cloud APIs. Using Workload Identity allows you to assign distinct, fine-grained identities and authorization for each application in your cluster.

NEW QUESTION # 43
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app. How should you configure the instances while following Google-recommended best practices?

A. Set up a backend with Compute Engine web server instances with a private IP address behind a TCP proxy load balancer.
B. Configure the firewall rules to allow all ingress traffic to connect to the Compute Engine web servers, with each server having a unique external IP address.
C. Configure Cloud Identity-Aware Proxy API for SSH access. Then configure the Compute Engine servers with private IP addresses behind an HTTP(s) load balancer for the application web traffic.
D. Set up a backend with Compute Engine web server instances with a private IP address behind an HTTP(S) load balancer. Set up a bastion host with a public IP address and open firewall ports. Connect to the web instances using the bastion host.

Answer: C

Explanation:
Reference:
https://cloud.google.com/solutions/connecting-securely#storing_host_keys_by_enabling_guest_attributes

NEW QUESTION # 44
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

A. 1) Run the following command from a command line: gcloud config set auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com.
2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.
B. 1) Run the following command from a command line: gcloud auth application-default login.
2) In the browser window that opens, authenticate using your personal credentials.
C. 1) Store the service account's key file in JSON format in Hashicorp Vault.
2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
D. 1) Download the service account's key file in JSON format, and store it locally on your laptop.
2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.

NEW QUESTION # 45
You want to view the memory usage of your application deployed on Compute Engine. What should you do?

A. Install the Stackdriver Client Library.
B. Use the Google Cloud Platform Console.
C. Use the Stackdriver Metrics Explorer.
D. Install the Stackdriver Monitoring Agent.

Answer: C

Explanation:
Explanation/Reference: https://stackoverflow.com/questions/43991246/google-cloud-platform-how-to-monitor-memory- usage-of-vm-instances

NEW QUESTION # 46
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