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    HomeCertificationsCloud DeveloperFree Practice Test
    Prasenjit Sarkar
    By Prasenjit Sarkar·Last verified: 2026-08-15
    Google Cloud FreePROFESSIONAL

    Free Cloud Developer Practice Test

    GCP-8

    Test your knowledge with 20 free practice questions for the GCP-8 exam. Get instant feedback and see if you are ready for the real exam.

    100% Free — No credit card required
    Takes only 10–15 minutes
    Instant answers with explanations
    Covers key exam topics
    Start Free TestFull Practice Exam

    Test Overview

    Questions20
    Time LimitNo Limit
    DifficultyPROFESSIONAL
    PriceFREE

    No signup required

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    Free Questions

    Sample Practice Questions

    Try these Cloud Developer sample questions — no signup required

    Sample 20 Free
    1
    Designing highly scalable, available, and reliable cloud-native applications

    You are designing a cloud-native application that needs to handle unpredictable traffic spikes during product launches. The application should scale automatically and minimize operational overhead. Which Google Cloud service is the BEST choice for hosting this application?

    2
    Designing highly scalable, available, and reliable cloud-native applications

    Your application deployed on Google Kubernetes Engine needs to access Cloud Storage buckets. Following security best practices, how should you configure authentication?

    3
    Designing highly scalable, available, and reliable cloud-native applications

    You are building a microservices architecture where Service A needs to call Service B asynchronously. Service B processes requests that may take several minutes. Which Google Cloud service should you use to decouple these services?

    4
    Designing highly scalable, available, and reliable cloud-native applications

    Your team is developing a globally distributed application that requires single-digit millisecond read latency for user profile data across multiple regions. The data is frequently read but infrequently updated. What is the MOST cost-effective solution?

    5
    Designing highly scalable, available, and reliable cloud-native applications

    You need to implement a circuit breaker pattern for your microservices running on Google Kubernetes Engine to prevent cascading failures. What should you implement?

    6
    Building and testing applications

    You are developing a REST API using Python and Flask. Which approach should you use to run unit tests locally before deploying to Cloud Run?

    7
    Building and testing applications

    Your application uses Cloud Build for CI/CD. You need to run integration tests that require access to a Cloud SQL database. What is the recommended approach?

    8
    Building and testing applications

    You are implementing continuous integration for a Node.js application. Your Cloud Build configuration needs to cache npm dependencies between builds to reduce build time. What should you configure?

    9
    Building and testing applications

    Your development team needs to test a new feature that integrates with Cloud Pub/Sub. You want to run tests locally without incurring costs or affecting production topics. What should you use?

    10
    Building and testing applications

    You are implementing automated testing for a microservices application. Some tests are flaky and occasionally fail due to timing issues with external API calls. What is the BEST practice to handle this?

    11
    Deploying applications

    You have containerized your application and need to deploy it to Cloud Run. The container image is stored in Artifact Registry. What is the command to deploy it?

    12
    Deploying applications

    Your application requires zero downtime during deployments to Google Kubernetes Engine. The application takes 30 seconds to initialize before it can serve traffic. How should you configure your deployment?

    13
    Deploying applications

    You need to implement blue-green deployment for your application on Cloud Run to minimize risk during releases. What is the recommended approach?

    14
    Deploying applications

    Your Cloud Build pipeline needs to deploy to Google Kubernetes Engine after building a container image. The pipeline should only deploy if all tests pass. What should you configure?

    15
    Deploying applications

    Your organization requires that all container images be scanned for vulnerabilities before deployment to production. How should you implement this in your Cloud Build pipeline?

    16
    Integrating Google Cloud services and managing application performance

    Your application on Cloud Run needs to access secrets stored in Secret Manager. What is the BEST practice for providing these secrets to your application?

    17
    Integrating Google Cloud services and managing application performance

    Your application experiences high latency during peak hours. After investigation, you find that database queries are the bottleneck. What should you implement to improve performance?

    18
    Integrating Google Cloud services and managing application performance

    You need to monitor the performance of your Cloud Run service and receive alerts when the 95th percentile latency exceeds 500ms for 5 minutes. How should you configure this?

    19
    Integrating Google Cloud services and managing application performance

    Your microservices application needs distributed tracing to diagnose performance issues across service boundaries. Multiple services communicate via HTTP and Pub/Sub. What should you implement?

    20
    Integrating Google Cloud services and managing application performance

    Your application running on GKE needs to process files uploaded to Cloud Storage. You want to trigger processing automatically when files are uploaded. What is the MOST efficient architecture?

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