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Google Professional-Cloud-Developer Practice Test Questions Answers

Exam Code: Professional-Cloud-Developer (Updated 265 Q&As with Explanation)
 Exam Name: Google Certified Professional - Cloud Developer
 Last Update: 15-Jul-2025
 Demo:  Download Demo

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Questions Include:

  • Single Choice: 248 Q&A's
  • Multiple Choice: 17 Q&A's

    • Professional-Cloud-Developer Overview

    Google Professional Cloud Developer Exam Overview

    Category Details
    Exam Name Google Professional Cloud Developer
    Exam Code GCP-PCD
    Duration 2 hours
    Number of Questions 50–60
    Passing Score Approximately 70% (scaled score system)
    Question Format Multiple choice and multiple select
    Exam Fee $200 USD (plus tax where applicable)
    Languages Available English and Japanese
    Delivery Method Online-proctored or onsite-proctored (via Pearson VUE)
    Recommended Experience 3+ years in industry, including 1+ year with Google Cloud
    Certification Validity 2 years
    Recertification Required every 2 years by retaking the exam

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    Google Professional-Cloud-Developer Exam Topics Breakdown

    Section Topic Focus Approx. Weight (%)
    1. Designing Scalable, Available, and Reliable Applications - Microservices architecture
    - Platform selection (IaaS, PaaS, FaaS)
    - Application modernization
    - Caching solutions
    - Asynchronous communication (Pub/Sub, Eventarc)
    - Cost and resource optimization
    - Error handling and scaling    		 36%
    2. Building and Testing Applications - Local development environments (Cloud SDK, Cloud Shell)
    - Source control management
    - Container image creation
    - Continuous integration pipelines (Cloud Build)
    - Unit and integration testing
    - Performance and load testing
    - Failure testing (chaos engineering)    		 26%
    3. Deploying Applications - Feature rollout strategies (A/B testing, feature flags)
    - Serverless deployments (Cloud Functions, Cloud Run)
    - API deployment and security (Apigee)
    - Kubernetes deployments (GKE)
    - Traffic management and scaling    		 19%
    4. Integrating Applications with Google Cloud Services - Data storage integration (Cloud SQL, Firestore, Bigtable)
    - Asynchronous data handling (Pub/Sub)
    - Orchestration (Workflows, Cloud Tasks)
    - API integration (REST, gRPC)
    - Service account authentication
    - Observability and monitoring (Cloud Monitoring, Cloud Logging)    		 22%

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    The Google Professional-Cloud-Developer exam is a certification offered by Google to validate an individual's expertise in developing applications on the Google Cloud Platform (GCP). The exam focuses on assessing a developer's ability to design, build, and maintain cloud-native applications, utilizing the tools and services provided by Google Cloud. It is ideal for developers who want to showcase their skills in developing applications on GCP.

    The Google Professional-Cloud-Developer exam is moderately challenging, especially for those new to cloud development or GCP. It covers a wide range of topics, including designing and building cloud-native applications, deploying solutions, and managing cloud infrastructure. However, with sufficient preparation using practice tests, real exam questions, and exam dumps from Solution2Pass, you can confidently tackle the exam.

    To book a slot for the Google Professional-Cloud-Developer exam, visit the Google Cloud Certification website. From there, you can register for the exam through Pearson VUE, which is Google’s official exam partner. The exam can be taken either online, with a proctor, or at a Pearson VUE test center, depending on your preference.

    There are no formal prerequisites for taking the Google Professional-Cloud-Developer exam. However, Google recommends that candidates have at least 3+ years of industry experience as a developer and familiarity with the Google Cloud Platform. Knowledge of application development, cloud architecture, and GCP services will help improve your exam preparation.

    The Google Professional-Cloud-Developer exam consists of 40 to 50 multiple-choice questions. You will have 2 hours to complete the exam. It is essential to prepare thoroughly with exam dumps, real questions, and practice tests to familiarize yourself with the question format and improve your time management skills.

    The passing score for the Google Professional-Cloud-Developer exam is typically around 70%. This means you need to correctly answer at least 70% of the questions to pass the exam. Using practice questions, real exam questions, and exam dumps from Solution2Pass will help you improve your chances of achieving this score.

    The Google Professional-Cloud-Developer certification is valid for 2 years from the date you pass the exam. After 2 years, you will need to recertify by passing the latest version of the exam to stay up to date with changes in Google Cloud technology.

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    Professional-Cloud-Developer Questions and Answers

    Question # 1

    You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run

    integration tests. When there is a failure, you want the build history to clearly display the stage at which the

    build failed.

    What should you do?

    A.

    Add RUN commands in the Dockerfile to execute unit and integration tests.

    B.

    Create a Cloud Build build config file with a single build step to compile unit and integration tests.

    C.

    Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration

    tests.

    D.

    Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and

    integration tests.

    Question # 2

    Your team is developing unit tests for Cloud Function code. The code is stored in a Cloud Source Repositories repository. You are responsible for implementing the tests. Only a specific service account has the necessary permissions to deploy the code to Cloud Functions. You want to ensure that the code cannot be deployed without first passing the tests. How should you configure the unit testing process?

    A.

    Configure Cloud Build to deploy the Cloud Function. If the code passes the tests, a deployment approval is sent to you.

    B.

    Configure Cloud Build to deploy the Cloud Function, using the specific service account as the build agent. Run the unit tests after successful deployment.

    C.

    Configure Cloud Build to run the unit tests. If the code passes the tests, the developer deploys the Cloud Function.

    D.

    Configure Cloud Build to run the unit tests, using the specific service account as the build agent. If the code passes the tests, Cloud Build deploys the Cloud Function.

    Question # 3

    Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a

    table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.

    How should you perform reads from Cloud Spanner for this application?

    A.

    Perform Read-Only transactions.

    B.

    Perform stale reads using single-read methods.

    C.

    Perform strong reads using single-read methods.

    D.

    Perform stale reads using read-write transactions.

    Question # 4

    You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:

    • Scales automatically during popular events and maintains high availability

    • Is resilient in the event of hardware failures

    How should you configure the deployment parameters? (Choose two.)

    A.

    Distribute your workload evenly using a multi-zonal node pool.

    B.

    Distribute your workload evenly using multiple zonal node pools.

    C.

    Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.

    D.

    Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.

    E.

    Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.

    Question # 5

    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 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.

    B.

    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.

    C.

    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.

    D.

    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.

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