Google Cloud · PCD
Validates expertise in building and deploying scalable, secure, and highly available applications using Google Cloud tools and best practices.
Practice Questions
600
≈ 12 practice exams
Duration
120 minutes
Passing Score
Not disclosed
Difficulty
ProfessionalLast Updated
Jan 2026
Use this PCD practice exam to prepare for Google Cloud Certified - Professional Cloud Developer (PCD) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 600 questions for Google Cloud PCD, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to patterns in your missed answers. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The Google Cloud Certified Professional Cloud Developer (PCD) certification validates a practitioner's ability to design, build, test, deploy, and manage scalable, secure, and highly available cloud-native applications on Google Cloud. The exam covers the full application development lifecycle on Google Cloud, assessing proficiency with compute platforms such as Cloud Run, Google Kubernetes Engine (GKE), App Engine, and Cloud Functions, as well as managed data stores including Cloud SQL, AlloyDB, Spanner, Firestore, Bigtable, and Cloud Storage. Candidates must demonstrate fluency in integrating Google Cloud services—such as Pub/Sub, Eventarc, Cloud Tasks, Cloud Scheduler, API Gateway, and Cloud Endpoints—into event-driven and API-centric architectures.
The certification also tests knowledge of modern DevOps practices, including CI/CD pipeline construction with Cloud Build and Cloud Deploy, container image management via Artifact Registry, supply chain security with Binary Authorization, and application security using IAM, Identity-Aware Proxy, Secret Manager, and Cloud KMS. Observability skills—covering Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler—are also assessed, reflecting Google Cloud's emphasis on instrumenting applications to produce actionable metrics, logs, and traces.
This certification is designed for software engineers and developers who build and deploy applications on Google Cloud as part of their day-to-day responsibilities. Ideal candidates have hands-on experience with cloud-native patterns such as microservices, containerization, and serverless computing, and are comfortable with at least one general-purpose programming language. The exam is equally relevant to full-stack developers, backend engineers, and DevOps engineers who own the deployment and operational health of cloud-hosted applications.
Professionals transitioning from on-premises or other cloud environments who want to formalize their Google Cloud development skills will also benefit. Google recommends candidates have at least three years of industry experience, including one or more years of designing and managing solutions on Google Cloud.
Google Cloud does not enforce formal prerequisites for the Professional Cloud Developer exam; any candidate may register directly. However, Google recommends a minimum of three years of industry software development experience, with at least one year spent designing and managing solutions on Google Cloud. Candidates should be comfortable working with cloud-native application architectures, container orchestration, RESTful and gRPC APIs, managed databases, and serverless platforms before attempting the exam.
A strong practical foundation is more valuable than theoretical study alone. Candidates without significant hands-on Google Cloud experience are advised to complete the Professional Cloud Developer learning path on Google Cloud Skills Boost, which includes guided labs covering Cloud Run, GKE, Cloud Build, Cloud Functions, and core data services before sitting for the exam.
The Professional Cloud Developer exam consists of 50–60 multiple-choice and multiple-select questions and must be completed within 120 minutes. The registration fee is $200 USD plus applicable taxes. The exam is available in English and Japanese and can be taken either via online proctoring (remote, from any location with a webcam and stable internet connection) or in person at an authorized Kryterion testing center worldwide.
Google does not publicly disclose a specific passing score for this exam. Scoring uses a compensatory model in which overall performance across all domains determines the outcome, rather than requiring minimum scores in each individual section. The certification is valid for two years, after which candidates must recertify through the renewal process.
The Professional Cloud Developer certification is recognized by organizations that run production workloads on Google Cloud, making it a strong differentiator for software engineers, DevOps practitioners, and cloud architects operating in GCP environments. Certified professionals typically pursue roles such as Cloud Application Developer, Site Reliability Engineer, Cloud Solutions Engineer, and DevOps Engineer. The certification demonstrates mastery of the full cloud-native development lifecycle—from architecture design through deployment and observability—which aligns with the skillsets most in demand at enterprises undergoing cloud modernization.
Salary data from multiple industry sources places certified Google Cloud Professional Cloud Developer professionals in the $140,000–$180,000 USD range in the United States, varying by role, seniority, and geography. Compared to associate-level Google Cloud certifications, the PCD signals hands-on production experience and is often weighted alongside certifications like the AWS Certified Developer – Associate or Microsoft Azure Developer Associate, though the PCD's scope—covering security, CI/CD pipelines, and multi-service integration in depth—is generally considered broader.
5 sample questions with answers and explanations. The full bank has 600 questions, enough for 12 full-length practice exams.
Preview — answers shown1. Solution: To reduce Cloud Run cold starts, configure minimum instances to 0 and rely solely on container image optimization. Does this solution meet the goal of eliminating cold starts?
Explanation
Setting minimum instances to 0 means Cloud Run can scale all instances down to zero, which guarantees cold starts when traffic arrives after a period of inactivity. To eliminate cold starts, you must set minimum instances to at least 1, which keeps one instance always running and warm. Container image optimization reduces cold start duration but doesn't eliminate them when instances scale to zero.
2. Solution: To implement feature flags with real-time updates across thousands of Cloud Run instances, store flags in Firestore and poll every 5 seconds from each instance. Does this solution meet the goal of real-time updates?
Explanation
Polling Firestore every 5 seconds from thousands of instances creates massive read costs and still has up to 5-second delay for flag updates. This doesn't meet real-time requirements and is inefficient. Real-time updates require push-based mechanisms like WebSockets or Server-Sent Events (SSE) that managed feature flag services provide, or Firestore real-time listeners (though these don't scale well to thousands of concurrent connections). The polling approach generates excessive database reads and still has noticeable update latency.
3. A development team wants to review the cost impact of proposed architecture changes before implementation. Which tool should they use?
Explanation
Google Cloud Pricing Calculator allows modeling proposed architectures with specific configurations and generating cost estimates before deploying resources. Users can configure services, quantities, and usage patterns to understand pricing implications. This enables informed decisions about architecture choices. Cloud Billing Reports show actual costs for existing resources, not estimates for proposed changes. Cloud Monitoring tracks resource utilization but does not provide cost estimates. Cloud Asset Inventory tracks resource inventory but does not calculate costs.
4. Your application running on Cloud Run needs to access secrets stored in Secret Manager. Following the principle of least privilege, which IAM role should be granted to the Cloud Run service account?
Explanation
The secretmanager.secretAccessor role provides the minimum necessary permissions to access secret values, following the principle of least privilege. This role allows reading secret data but does not permit creating, deleting, or modifying secrets or their versions. It is specifically designed for applications that need to consume secrets. The secretmanager.admin role grants excessive permissions including creating and deleting secrets, violating least privilege principles. The viewer role provides read-only access to metadata but cannot access actual secret values. The secretVersionManager role allows managing secret versions including creating new versions and disabling old ones, which exceeds the requirements for an application that only needs to read secrets.
5. A mobile gaming application needs to store player game state that synchronizes across multiple devices in real-time. The state includes current level, inventory, and achievements. Which database solution is most appropriate?
Explanation
Cloud Firestore provides real-time synchronization capabilities through listeners that push updates to connected clients automatically when data changes. The document model naturally fits game state structure with levels, inventory items, and achievements. Firestore handles offline support, conflict resolution, and synchronization across devices without custom code. Cloud SQL with change data capture requires custom implementation of synchronization logic and polling mechanisms. Bigtable excels at high-throughput writes but does not provide real-time push notifications. Cloud Storage is designed for object storage, not real-time structured data synchronization.
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