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HomeCertificationsPCDTopicsIntegrating Google Cloud services
Free · No Signup RequiredGoogle Cloud · PCD

PCD Integrating Google Cloud services Practice Questions

20+ practice questions focused on Integrating Google Cloud services — one of the most tested topics on the Google Professional Cloud Developer exam. Each question includes a detailed explanation so you learn why the right answer is correct.

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Designing highly scalable, available, and reliable cloud-native applicationsBuilding and testing applicationsDeploying applicationsIntegrating Google Cloud servicesManaging application performance monitoringAll domains →

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Sample Integrating Google Cloud services Questions

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1.

Your application runs on Compute Engine and uses Cloud Pub/Sub to receive messages from a third-party service. Recently, the message delivery latency has increased significantly. The third-party reports no issues on their end. You notice that the Pub/Sub subscription's 'ackDeadlineSeconds' is set to 10. What is the most likely cause of the latency?

A.The ackDeadlineSeconds is too short, causing frequent message redelivery.
B.The topic's message retention duration is too long.
C.The push endpoint is not responding, causing Pub/Sub to retry.
D.The subscription has an exponential backoff policy that is too aggressive.

Explanation: A is correct because a 10-second ackDeadlineSeconds is very short. If your subscriber cannot process and acknowledge messages within 10 seconds, Pub/Sub will consider them unacknowledged and redeliver them. This redelivery causes duplicate processing and increases overall latency as messages are repeatedly sent back to the subscriber, delaying their final consumption.

2.

You are designing a data pipeline that ingests streaming data from IoT devices using Cloud IoT Core, processes it with Dataflow, and stores results in BigQuery. The data volume is expected to be 10 GB per day with occasional spikes. You need to minimize processing latency and cost. Which configuration should you choose for the Dataflow pipeline?

A.Use streaming mode with autoscaling and maximum workers set to 10.
B.Use Dataflow Prime for automatic optimization.
C.Use streaming mode with streaming engine enabled and 2 workers.
D.Use batch mode with a fixed number of workers to reduce cost.

Explanation: Option C is correct because streaming mode with Streaming Engine is designed for low-latency, continuous data ingestion from IoT Core, and setting 2 workers minimizes cost while handling the expected 10 GB/day volume with occasional spikes through autoscaling. Streaming Engine offloads state management to the backend, reducing worker overhead and improving latency, making it ideal for this use case.

3.

A company stores sensitive user data in Cloud Storage. They want to ensure that only authenticated users with the appropriate permissions can access the data, and that data is encrypted at rest. Which two steps should they take? (Choose TWO.)

A.Configure a Customer-Managed Encryption Key (CMEK) in Cloud KMS.
B.Enable default encryption on the bucket using Google-managed keys.
C.Use IAM roles to grant access to specific users and groups.
D.Set bucket-level public access prevention.

Explanation: Option B is correct because Cloud Storage buckets are encrypted at rest by default using Google-managed keys, which satisfies the requirement for data encryption without additional configuration. Option C is correct because IAM roles provide fine-grained access control, ensuring only authenticated users with appropriate permissions can access the data.

4.

You are designing a serverless application using Cloud Functions that processes events from Cloud Storage and Cloud Pub/Sub. The function must be idempotent and handle duplicate events. Which three best practices should you implement? (Choose THREE.)

A.Generate a unique idempotency key for each event and store processed keys in a database.
B.Invoke the function synchronously to avoid duplicates.
C.Implement a deduplication logic that checks the event's publish time against a threshold.
D.Use Cloud Firestore to record the state of each processed event.

Explanation: Option A is correct because generating a unique idempotency key for each event and storing processed keys in a database (such as Cloud Firestore) ensures that if the same event is delivered multiple times (e.g., due to at-least-once delivery semantics in Cloud Pub/Sub or Cloud Storage notifications), the function can check the key before processing and skip duplicates. This pattern is essential for idempotent serverless functions, as Cloud Functions may be retried on failure or receive duplicate events from the source.

5.

You need to monitor the CPU usage of a Compute Engine instance and trigger an alert when it exceeds 80% for 5 minutes. Which Google Cloud service should you use?

A.Cloud Debugger
B.Cloud Monitoring
C.Cloud Logging
D.Error Reporting

Explanation: Cloud Monitoring (formerly Stackdriver Monitoring) is the correct service because it provides metrics, dashboards, and alerting policies for Compute Engine instances. You can create a metric-based alert condition that triggers when the CPU utilization metric exceeds 80% for a duration of 5 minutes, using the MQL or policy builder.

+15 more Integrating Google Cloud services questions available

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How to master Integrating Google Cloud services for PCD

1. Baseline your knowledge

Start with 10 questions to gauge your current understanding of Integrating Google Cloud services. This tells you whether you need a concept refresher or just practice.

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

Integrating Google Cloud services questions on the PCD 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.

Frequently asked questions

How many PCD Integrating Google Cloud services questions are on the real exam?

The exact number varies per candidate. Integrating Google Cloud services is tested as part of the Google Professional Cloud Developer blueprint. Practicing with targeted Integrating Google Cloud services questions ensures you can handle any format or difficulty that appears.

Are these PCD Integrating Google Cloud services practice questions free?

Yes. Courseiva provides free PCD practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.

Is Integrating Google Cloud services one of the harder PCD topics?

Difficulty is subjective, but Integrating Google Cloud services is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.

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Topic Info

Topic

Integrating Google Cloud services

Exam

PCD

Questions available

20+