Exam Professional-Cloud-Developer Practice - Professional-Cloud-Developer Exam PDF

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To become a Google Certified Professional - Cloud Developer, individuals must pass the Professional-Cloud-Developer certification exam. Google Certified Professional - Cloud Developer certification exam tests the candidate's knowledge and skills in developing, deploying, and maintaining applications on GCP. Professional-Cloud-Developer Exam covers a wide range of topics including GCP services, application deployment, security, and monitoring. Google Certified Professional - Cloud Developer certification is ideal for developers who want to demonstrate their expertise in developing cloud applications on GCP.

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Google Professional-Cloud-Developer exam is intended for developers who have experience building and deploying applications on the Google Cloud Platform. Professional-Cloud-Developer exam covers a range of topics, including application development, cloud architecture, security, and operations. Candidates for Professional-Cloud-Developer Exam should have experience with programming languages, such as Java or Python, and should have experience developing and deploying applications on the Google Cloud Platform.

Google Certified Professional - Cloud Developer Sample Questions (Q15-Q20):

NEW QUESTION # 15
Your team plans to use AlloyDB as their database backend for an upcoming application release.
Your application is currently hosted in a different project and network than the AlloyDB instances.
You need to securely connect your application to the AlloyDB instance while keeping the projects isolated. You want to minimize additional operations and follow Google-recommended practices.
How should you configure the network for database connectivity?

A. Provision a Shared VPC project where both the application project and the AlloyDB project are service projects.
B. Ask the database team to provision AlloyDB databases in the same project and network as the application.
C. Use AlloyDB Auth Proxy and configure the application project's firewall to allow connections to port 5433.
D. Provision a service account from the AlloyDB project. Use this service account's JSON key file as the --credentials-file to connect to the AlloyDB instance.

Answer: A

Explanation:
Secure Connectivity: A Shared VPC allows you to connect resources across different projects securely while keeping them isolated, following Google-recommended practices for network architecture.
Centralized Management: By using a Shared VPC, you can centralize network management and reduce complexity in firewall rules and routing.
Isolation and Flexibility: This approach allows your application and database to remain in separate projects while still being able to communicate securely.

NEW QUESTION # 16
Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to production. You want to invest in automation to improve developer feedback and make the process as efficient as possible.
What should you do?

A. Use Cloud Build to automate building container images from code based on forked versions.
B. Use Cloud Build to automate building container images from code based on Git tags.
C. Use Spinnaker to automate building container images from code based on Git tags.
D. Use Spinnaker to automate deploying container images to the production environment.

Answer: C

Explanation:
Reference: https://spinnaker.io/docs/guides/tutorials/codelabs/kubernetes-v2-source-to-prod/

NEW QUESTION # 17
You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?

A. Use HTTP header-based routing.
B. Mirror traffic to the new version of your application.
C. Enable the new recommendation feature flag on a single instance.
D. Split traffic between versions using weights.

Answer: B

Explanation:
https://cloud.google.com/load-balancing/docs/https/traffic-management-global#traffic_actions_weight-based_traffic_splitting Deploying a new version of an existing production service generally incurs some risk. Even if your tests pass in staging, you probably don't want to subject 100% of your users to the new version immediately. With traffic management, you can define percentage-based traffic splits across multiple backend services.
For example, you can send 95% of the traffic to the previous version of your service and 5% to the new version of your service. After you've validated that the new production version works as expected, you can gradually shift the percentages until 100% of the traffic reaches the new version of your service. Traffic splitting is typically used for deploying new versions, A/B testing, service migration, and similar processes.
https://cloud.google.com/traffic-director/docs/advanced-traffic-management#weight-based_traffic_splitting_for_safer_deployments
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#split_the_traffic_2
https://cloud.google.com/load-balancing/docs/https/traffic-management-global#traffic_actions_weight-based_traffic_splitting

NEW QUESTION # 18
You need to configure a Deployment on Google Kubernetes Engine (GKE). You want to include a check that verifies that the containers can connect to the database. If the Pod is failing to connect, you want a script on the container to run to complete a graceful shutdown. How should you configure the Deployment?

A. Create the Deployment with a PostStart lifecycle handler that checks the service availability. Configure a PreStop lifecycle handler that runs the shutdown script if the container is failing.
B. Create two jobs: one that checks whether the container can connect to the database, and another that runs the shutdown script if the Pod is failing.
C. Create the Deployment with an initContainer that checks the service availability. Configure a Prestop lifecycle handler that runs the shutdown script if the Pod is failing.
D. Create the Deployment with a livenessProbe for the container that will fail if the container can't connect to the database. Configure a Prestop lifecycle handler that runs the shutdown script if the container is failing.

Answer: D

Explanation:
Explanation
https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke#m

NEW QUESTION # 19
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that needs to be invoked by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service.
What should you do?

A. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule.
Clients should use this IP address to connect to the service.
B. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/.
C. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/.
D. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule.
Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.

Answer: C

Explanation:
Virtual Private Cloud networks on Google Cloud have an internal DNS service that lets instances in the same network access each other by using internal DNS names.
This name can be used for access: [INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal
https://cloud.google.com/compute/docs/internal-dns#access_by_internal_DNS

NEW QUESTION # 20
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