Google Cloud: Professional Cloud Developer Exam Topics & Study Guide

Certification Exams

Number Of Questions

265

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Description

Exam Name: Professional Cloud Developer
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 Questions Answers with Explanation

Expected Professional Cloud Developer Exam Topics, as suggested by Google :

  • At Certs4Success, we provide the most accurate and up-to-date preparation materials for the Google Professional Cloud Developer exam certification. Our content is professionally curated to ensure you master cloud-native application design, CI/CD pipelines, and Google-recommended deployment strategies for 2026.


    Topic 1: Designing Cloud-Native Applications

    To begin with, candidates must master designing highly scalable, available, and reliable applications using geographic distribution. Furthermore, you will learn to choose the right data storage options and define database schemas for Google-managed services. Consequently, these design principles ensure your applications are re-architected effectively from local environments to the Google Cloud Platform.

    Topic 2: Development Environment and Best Practices

    To start with, this section covers setting up your development environment and emulating GCP services for local testing. In addition to this, you will follow Google-recommended practices for operating system versions and base runtimes. As a result, you can build and test applications using unit tests and integration pipelines that align with enterprise-grade documentation.

    Topic 3: Deploying on Compute and Container Services

    To begin with, you will learn to launch compute instances, create autoscaled Managed Instance Groups (MIGs), and deploy applications to App Engine. Moreover, the syllabus focuses heavily on deploying and managing services within Google Kubernetes Engine (GKE). Ultimately, mastering these compute options allows you to implement the most appropriate deployment strategy for any target environment.

    Topic 4: Data Integration and Storage Services

    To start with, you will integrate applications with data services by writing SQL queries for relational databases and managing entities in Cloud Datastore. Additionally, you will learn to use Cloud Storage for static websites and high-write applications using optimized key structures. As a result, your applications will efficiently read and write data using Google’s high-performance APIs.

    Topic 5: Networking, APIs, and Security

    To begin with, candidates must configure network settings and secure APIs using Cloud Endpoints. Furthermore, you will implement security mechanisms like OAuth2 Web Flow and Identity-Aware Proxy (IAP) to protect resources. Consequently, these skills ensure that your cloud services remain secure while maintaining seamless connectivity via Pub/Sub push subscriptions.

    Topic 6: Automation and Resource Provisioning

    To start with, this module focuses on automating resource provisioning using Deployment Manager and startup scripts. In addition to this, you will manage data ingestion sources and review test results from continuous integration pipelines. Ultimately, these automation techniques allow for consistent, repeatable, and error-free deployments across the entire Google Cloud ecosystem.


    Why Trust Certs4Success.com?

    • Verified Success: Our materials are 100% updated for the 2026 Professional Cloud Developer exam updates.

    • Expert Insight: Detailed coverage of GKE, App Engine, Cloud Functions, and Pub/Sub.

    • High Pass Rates: Our study guides are designed by certified developers to ensure you pass on your first attempt.

Description

Exam Name: Professional Cloud Developer
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 Questions Answers with Explanation

Expected Professional Cloud Developer Exam Topics, as suggested by Google :

  • At Certs4Success, we provide the most accurate and up-to-date preparation materials for the Google Professional Cloud Developer exam certification. Our content is professionally curated to ensure you master cloud-native application design, CI/CD pipelines, and Google-recommended deployment strategies for 2026.


    Topic 1: Designing Cloud-Native Applications

    To begin with, candidates must master designing highly scalable, available, and reliable applications using geographic distribution. Furthermore, you will learn to choose the right data storage options and define database schemas for Google-managed services. Consequently, these design principles ensure your applications are re-architected effectively from local environments to the Google Cloud Platform.

    Topic 2: Development Environment and Best Practices

    To start with, this section covers setting up your development environment and emulating GCP services for local testing. In addition to this, you will follow Google-recommended practices for operating system versions and base runtimes. As a result, you can build and test applications using unit tests and integration pipelines that align with enterprise-grade documentation.

    Topic 3: Deploying on Compute and Container Services

    To begin with, you will learn to launch compute instances, create autoscaled Managed Instance Groups (MIGs), and deploy applications to App Engine. Moreover, the syllabus focuses heavily on deploying and managing services within Google Kubernetes Engine (GKE). Ultimately, mastering these compute options allows you to implement the most appropriate deployment strategy for any target environment.

    Topic 4: Data Integration and Storage Services

    To start with, you will integrate applications with data services by writing SQL queries for relational databases and managing entities in Cloud Datastore. Additionally, you will learn to use Cloud Storage for static websites and high-write applications using optimized key structures. As a result, your applications will efficiently read and write data using Google’s high-performance APIs.

    Topic 5: Networking, APIs, and Security

    To begin with, candidates must configure network settings and secure APIs using Cloud Endpoints. Furthermore, you will implement security mechanisms like OAuth2 Web Flow and Identity-Aware Proxy (IAP) to protect resources. Consequently, these skills ensure that your cloud services remain secure while maintaining seamless connectivity via Pub/Sub push subscriptions.

    Topic 6: Automation and Resource Provisioning

    To start with, this module focuses on automating resource provisioning using Deployment Manager and startup scripts. In addition to this, you will manage data ingestion sources and review test results from continuous integration pipelines. Ultimately, these automation techniques allow for consistent, repeatable, and error-free deployments across the entire Google Cloud ecosystem.


    Why Trust Certs4Success.com?

    • Verified Success: Our materials are 100% updated for the 2026 Professional Cloud Developer exam updates.

    • Expert Insight: Detailed coverage of GKE, App Engine, Cloud Functions, and Pub/Sub.

    • High Pass Rates: Our study guides are designed by certified developers to ensure you pass on your first attempt.

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Q1. Your team is creating a serverless web application on Cloud Run. The application needs to access images stored in a private Cloud Storage bucket. You want to give the application Identity and Access Management (IAM) permission to access the images in the bucket, while also securing the services using Google-recommended best practices What should you do?

A.Enforce signed URLs for the desired bucket. Grant the Storage Object Viewer IAM role on the bucket to the Compute Engine default service account.

B. Enforce public access prevention for the desired bucket. Grant the Storage Object Viewer IAM role on the bucket to the Compute Engine default service account.

C. Enforce signed URLs for the desired bucket Create and update the Cloud Run service to use a user -managed service account. Grant the Storage Object Viewer IAM role on the bucket to the service account

D. Enforce public access prevention for the desired bucket. Create and update the Cloud Run service to use a user-managed service account. Grant the Storage Object Viewer IAM role on the bucket to the service account.

Correct Answer: B

Q2. You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify which HTTP requests have a significantly high latency span in user requests. What should you do9

A.Update your microservices lo log HTTP request methods and URL paths to STDOUT Use the logs router to send container logs to Cloud Logging. Create fillers in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.

B. Install tcpdiimp on your GKE nodes. Run tcpdunm-- to capture network traffic over an extended period of time to collect data. Analyze the data files using Wireshark to determine the cause of high latency

C. Instrument your microservices by installing the Open Telemetry tracing package. Update your application code to send traces to Trace for inspection and analysis. Create an analysis report on Trace to analyze user requests

D. Configure GKE workload metrics using kubect1. Select all Pods to send their metrics to Cloud Monitoring. Create a custom dashboard of application metrics in Cloud Monitoring to determine performance bottlenecks of your GKE cluster.

Correct Answer: D

Q3. You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

A.Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch before each major release.

B. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.

C. Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.

D. Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch after peer review.

Correct Answer: D

Q4. You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements: * Load is initiated from multiple parallel threads * User traffic to the API originates from multiple source IP addresses. * Load can be scaled up using additional test instances You want to follow Google-recommended best practices How should you configure the load testing'?

A.Create an image that has cURL installed and configure cURLto run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

B. Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.

C. Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

D. Download the container image of a distributed load testing framework on Cloud Shell Sequentially start several instances of the container on Cloud Shell to increase the load on the API.

Correct Answer: C

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