20+ practice questions focused on Manage implementation of cloud architecture — one of the most tested topics on the Google Professional Cloud Architect exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Manage implementation of cloud architecture PracticeWhich TWO of the following are valid methods to securely access Google Cloud APIs from a Compute Engine instance without managing service account keys?
Explanation: The correct options are B and E because both leverage the instance metadata server to provide credentials without managing service account keys. Option B (attaching a custom service account via gcloud) assigns an identity to the instance, while Option E (using the default Compute Engine service account) uses the pre-configured default identity. Option A requires downloading and managing a key file, which is insecure. Option C (granting IAM roles) is about permissions, not access method. Option D (using Cloud KMS) is for encrypting keys, not for API access.
An organization has two Google Cloud projects: Project A hosts a Compute Engine instance with a MySQL database, and Project B hosts an application that needs to connect to the database. The network team set up VPC peering between the two VPCs. The application cannot connect to the database on port 3306. The database instance has a private IP. The network team has verified that firewall rules in both VPCs allow traffic from Project B's subnets to the database IP on port 3306. Ping from the application instance to the database IP succeeds. What should the architect do to resolve the connectivity issue?
Explanation: Since ping succeeds, routing for ICMP is functional, but TCP on port 3306 fails. This indicates that the issue is not with VPC peering route exchange (which includes subnet routes like the database’s private IP). The problem likely lies with the database not listening on the private IP (e.g., bound to localhost) or a host-level firewall. Option A checks for overlapping subnets, which is a prerequisite and already satisfied. Therefore, option C is not the correct fix.
Your team has deployed a microservices application on Google Kubernetes Engine (GKE) with multiple services communicating via internal ClusterIP services. You notice that some requests between services are failing intermittently with 'connection refused' errors. The services are defined with readiness probes. What is the most likely cause?
Explanation: The 'connection refused' error indicates that the client is attempting to connect to a port on which no process is listening. In GKE, when a readiness probe fails, Kubernetes removes the pod's IP from the corresponding ClusterIP service's endpoints. If all pods for a service fail their readiness probes, the service has no healthy endpoints, and any request to the ClusterIP will be refused because there is no backend to accept the connection. This matches the intermittent nature of the issue, as pods may temporarily fail the probe and then recover.
An organization is running a stateful workload on Compute Engine with a single persistent disk. They want to migrate to a regional persistent disk for higher availability. The disk is 500 GB and currently 80% full. They need zero downtime during the migration. What is the recommended approach?
Explanation: Creating a snapshot of the existing persistent disk and then creating a new regional persistent disk from that snapshot allows you to attach the new disk to the instance with zero downtime. The snapshot captures the disk state at a point in time, and the regional disk is created asynchronously; once available, you can detach the original disk and attach the regional disk without stopping the instance, as Compute Engine supports live disk attachment/detachment.
A company is planning to deploy a global web application on Google Cloud. They expect low latency for users worldwide and need to serve static content (images, CSS) as well as dynamic API responses. Which architecture should they use?
Explanation: Cloud CDN in front of an external HTTPS Load Balancer with backend services in multiple regions is correct because it provides global anycast IP termination, low-latency content delivery via Google's edge cache for static content, and dynamic API requests are forwarded to the nearest healthy backend in the closest region. This architecture meets both the low-latency requirement for users worldwide and the need to serve both static and dynamic content efficiently.
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Practice all Manage implementation of cloud architecture questions1. Baseline your knowledge
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2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Manage implementation of cloud architecture questions on the PCA frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
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