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Google Professional Cloud Developer Exam Questions

Name: Google Professional Cloud Developer Exam
Brand: Pass4Success
SKU: Professional Cloud Developer
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Exam Name: Google Professional Cloud Developer Exam

Exam Code: Professional Cloud Developer

Related Certification(s): Google Cloud Certified Certification

Certification Provider: Google

Number of Professional Cloud Developer practice questions in our database: 265 (updated: Sep. 18, 2026)

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Yuna Yamamoto

3 days ago

I spent most of my prep time on building and testing workflows, especially Cloud Build, Artifact Registry, and test strategies for microservices, and that focus helped me pass the Google Professional Cloud Developer exam. The questions felt very practical about CI triggers, image provenance, and safe rollout habits.

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Arjun Mehta

5 days ago

Deciding between Cloud Functions and Cloud Run appeared as a comparative design question asking which serverless runtime fits event-driven short tasks versus containerized services with concurrency. Pay attention to cold start behavior, concurrency limits, and trigger types, and practice deploying both so you can justify tradeoffs during scenario questions hands-on deploys helped me pass.

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Lisa Anderson

7 days ago

Cloud Run revision management and concurrency settings were tested with a tangled YAML snippet asking which revision and concurrency values minimize cold starts while handling bursts. Focus on request concurrency, CPU allocation, timeouts, and traffic splitting between revisions, and deploy revisions manually to see behavior a colleague who passed said hands-on revision testing was a game changer.

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Emma Allen

15 days ago

High availability and failover is a common topic where they present a multi region outage and ask you to design failover, replication, and traffic routing to meet SLOs. Study regional versus zonal services, replication modes for databases, and traffic management options so you can justify trade offs between RTO and cost I passed the exam and found real scenarios helped most.

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Wei Han

18 days ago

I recently passed the exam and thanks Pass4Success for providing good collection of exam questions for preparation in short time. You can get scenario questions that require designing a Cloud Build pipeline with secure secrets, parallel build steps, and promotion to Artifact Registry, so study build YAML, triggers, IAM roles, and secret management.

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Tao Liu

1 month ago

The Professional Cloud Developer exam leaned heavily on designing for failure, so practicing multi region patterns and knowing when to use managed services versus DIY made the difference for me, and I passed on my first attempt. The trickiest part was balancing scalability and reliability tradeoffs in scenario questions.

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Steven Hill

1 month ago

Pub/Sub message delivery came up as a scenario where I had to design ordered, at-least-once processing across many consumers and decide where to handle deduplication. The trick was understanding ack deadlines, ordering keys, and dead-letter topics, so study subscription types, message retention, and idempotent processing patterns I passed the exam and prepared quickly thanks to Pass4Success’s practice question collection.

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Sara Hashmi

1 month ago

App Engine versioning and traffic splitting showed up as a scenario where you must route a percentage of users to a new service version without breaking sessions, and the question tested the right gcloud commands and dispatch settings. Study how App Engine services, versions, and traffic migration work, plus session affinity implications I passed the exam after practicing those deployment steps.

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Stephanie Mitchell

2 months ago

Autoscaling and load balancing often show up as scenario questions where you must pick between regional load balancing, autoscaler metrics, and health check strategies to handle sudden traffic bursts. I focused on Cloud Load Balancing types, GKE horizontal pod autoscaler behavior, and realistic health check settings, and I passed the Google Professional Cloud Developer exam thanks to Pass4Success for providing a sharp set of practice questions in a short time.

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Thomas Taylor

2 months ago

I cleared the exam and one of the trickiest areas was distinguishing unit tests from integration tests when a question shows a service with external APIs and asks what to mock. Focus on dependency injection, mocking libraries, and using local emulators to decide test boundaries and keep tests fast and reliable.

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Free Google Professional Cloud Developer Exam Actual Questions

Note: Premium Questions for Professional Cloud Developer were last updated On Sep. 18, 2026 (see below)

Question #1

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?

ACreate 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.

BCreate 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.

CCreate 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.

DCreate 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.

Reveal Solution Hide Solution

Correct Answer: B

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

Question #2

You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates. Which approach should you take?

ARetry the failures in batch after a set number of failures is logged.

BRetry each failure at a set time interval up to a maximum number of times.

CRetry each failure at increasing time intervals up to a maximum number of tries.

DRetry each failure at decreasing time intervals up to a maximum number of tries.

Reveal Solution Hide Solution

Correct Answer: C

https://cloud.google.com/storage/docs/retry-strategy

Question #3

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?

APipe the content of the files to the Linux Syslog daemon.

BInstall a Google version of fluentd on the Compute Engine instance.

CInstall a Google version of collectd on the Compute Engine instance.

DUsing cron, schedule a job to copy the log files to Cloud Storage once a day.

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Correct Answer: B

Question #4

You are responsible for deploying a new API. That API will have three different URL paths:

* https://yourcompany.com/students

* https://yourcompany.com/teachers

* https://yourcompany.com/classes

You need to configure each API URL path to invoke a different function in your code. What should you do?

ACreate one Cloud Function as a backend service exposed using an HTTPS load balancer.

BCreate three Cloud Functions exposed directly.

CCreate one Cloud Function exposed directly.

DCreate three Cloud Functions as three backend services exposed using an HTTPS load balancer.

Reveal Solution Hide Solution

Correct Answer: D

https://cloud.google.com/load-balancing/docs/https/setup-global-ext-https-serverless

Question #5

You are creating a Google Kubernetes Engine (GKE) cluster and run this command:

The command fails with the error:

You want to resolve the issue. What should you do?

ARequest additional GKE quota is the GCP Console.

BRequest additional Compute Engine quota in the GCP Console.

COpen a support case to request additional GKE quotA.

DDecouple services in the cluster, and rewrite new clusters to function with fewer cores.

Reveal Solution Hide Solution

Correct Answer: A

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