Quiz 2026 Pass-Sure Google Professional-Cloud-Developer: Google Certified Professional - Cloud Developer Test Cram

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Integrating Google Cloud services	- API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL)
Topic 2: Ensuring application performance and reliability	- Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response - Performance optimization
Topic 3: Deploying applications	- Release management strategies - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines
Topic 4: Designing cloud-native applications	- Microservices design principles - Application architecture design - Scalability and resiliency patterns
Topic 5: Building and testing applications	- Application development on Google Cloud - Unit and integration testing strategies - Debugging and troubleshooting applications

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Google Certified Professional - Cloud Developer Sample Questions (Q370-Q375):

NEW QUESTION # 370
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) 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.
B. 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.
C. 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.
D. 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.

Answer: B

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 # 371
You configured your Compute Engine instance group to scale automatically according to overall CPU usage.
However, your application's response latency increases sharply before the cluster has finished adding up instances. You want to provide a more consistent latency experience for your end users by changing the configuration of the instance group autoscaler.
Which two configuration changes should you make? (Choose two.)

A. Decrease the cool-down period for instances added to the group.
B. Decrease the target CPU usage for the instance group autoscaler.
C. Increase the target CPU usage for the instance group autoscaler.
D. Add the label "AUTOSCALE" to the instance group template.
E. Remove the health-check for individual VMs in the instance group.

Answer: C,D

Explanation:
Explanation

NEW QUESTION # 372
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?

A. Managed instance group - heath checks
B. Cloud Load Balancing - heath checks
C. Stackdriver uptime checks
D. Smoke tests

Answer: C

Explanation:
https://cloud.google.com/monitoring/uptime-checks
An uptime check is a request sent to a resource to see if it responds. You can use uptime checks to determine the availability of a VM instance, an App Engine service, a URL, or an AWS load balancer.

NEW QUESTION # 373
You are designing a schema for a Cloud Spanner customer database. You want to store a phone number array field in a customer table. You also want to allow users to search customers by phone number. How should you design this schema?

A. Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer. Create a secondary index on the Array field.
B. Create a table named Customers as a parent table. Create a table named Phones, and interleave this table into the Customer table. Create an index on the phone number field in the Phones table.
C. Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer.
D. Create a table named Customers. Create a table named Phones. Add a CustomerId field in the Phones table to find the CustomerId from a phone number.

Answer: A

NEW QUESTION # 374
Your application in App Engine standard environment receives a large amount of traffic. You are concerned that deploying changes to the application could affect all users negatively. You want to avoid full-scale load testing due to cost concerns, but you still want to deploy new features as quickly as possible. Which approach should you take?

A. Use the local development environment to perform load testing outside Google Cloud Platform.
B. Schedule weekly load tests against the production application.
C. Before allowing users to access new features, deploy as a new version and perform smoke tests.
Then enable all users to access the new features.
D. Use App Engine traffic splitting to have a smaller part of the users test out new features, and slowly adjust traffic splitting until all users get the new features.

Answer: D

Explanation:
A is incorrect because there are patterns to perform A/B testing and reduce the need for regular independent load tests.
B is incorrect because it does not accurately simulate the production environment.
C is incorrect because smoke tests are still exposing all users to new features immediately as described.
D is correct because traffic splitting allows real user testing without impacting all users and reduces load testing costs.
http://cloud.google.com/trace

NEW QUESTION # 375
......

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