The Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect)

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Professional-Cloud-Architect Exam Dumps

Exam Code: Professional-Cloud-Architect
Vendor: Google
Certifications: Google Cloud Certified
Exam Name: Google Certified Professional - Cloud Architect (GCP)
Updated: Aug 7, 2026 Free Updates: 90 days Total Questions: 333 Try Free Demo

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Coverage of Official Google Professional-Cloud-Architect Exam Domains

Our curriculum is meticulously mapped to the Google official blueprint.

Design and Plan Cloud Solutions (24%)

The core architecture phase. Master the design of high-availability, multi-region architectures, microservices on GKE, and data storage strategies using Bigtable, Spanner, and BigQuery.

Manage and Provision Infrastructure (15%)

Mastery of Infrastructure as Code (IaC). Focus on Terraform, Google Cloud Deployment Manager, and configuring advanced networking (Shared VPC, Cloud Interconnect, and VPC Service Controls).

Design for Security and Compliance (18%)

Deep dive into the Shared Responsibility Model. Focus on IAM hierarchy, Cloud Key Management Service (KMS), and ensuring regulatory compliance with Data Loss Prevention (DLP) and Security Command Center.

Analyze and Optimize Processes (18%)

Managing the software development lifecycle. Focus on FinOps (cost optimization), CI/CD pipeline design with Cloud Build, and optimizing technical and business processes for agility.

Manage Implementation (15%)

Overseeing the migration and deployment. Focus on migration strategies (Lift & Shift, Refactor), API management with Apigee, and integrating cloud solutions with existing on-premises environments.

Ensure Operations Reliability (10%)

Implementing SRE (Site Reliability Engineering) principles. Focus on Cloud Monitoring, Error Reporting, Logging, and creating robust disaster recovery and post-mortem workflows.

Google Professional-Cloud-Architect Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

You are migrating a Linux-based application from your private data center to Google Cloud. The TerramEarth security team sent you several recent Linux vulnerabilities published by Common Vulnerabilities and Exposures (CVE). You need assistance in understanding how these vulnerabilities could impact your migration. What should you do?

A.
Open a support case regarding the CVE and chat with the support engineer.
B.
Read the CVEs from the Google Cloud Status Dashboard to understand the impact.
C.
Read the CVEs from the Google Cloud Platform Security Bulletins to understand the impact
D.
Post a question regarding the CVE in Stack Overflow to get an explanation
E.
Post a question regarding the CVE in a Google Cloud discussion group to get an explanation

Correct Answer & Rationale:

Answer: A, C

Explanation:

https://cloud.google.com/support/bulletins

Question 2 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

A.
Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
B.
Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
C.
Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
D.
Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.

Correct Answer & Rationale:

Answer: C

Explanation:

https://cloud.google.com/bigquery/docs/managing-partitioned-tables#partition-expiration

https://cloud.google.com/storage/docs/lifecycle

Question 3 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study.

You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google ' s recommended best practices. What should you do?

A.
Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request Pass the same token to func _query and reject the invocation if the tokens are different.
B.
Make func_query ' Require authentication. ' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
C.
Make func _query ' Require authentication ' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
D.
Create those two functions in the same project and VPC. Make func_query only accept internal traffic. Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.

Correct Answer & Rationale:

Answer: B

Explanation:

https://cloud.google.com/functions/docs/securing/authenticating#authenticating_function_to_function_calls

Question 4 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?

A.
Replace the existing data warehouse with BigQuery. Use table partitioning.
B.
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
C.
Replace the existing data warehouse with BigQuery. Use federated data sources.
D.
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.

Correct Answer & Rationale:

Answer: C

Explanation:

https://cloud.google.com/solutions/bigquery-data-warehouse#external_sources

https://cloud .google.com/solutions/bigquery-data-warehouse

Question 5 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the

ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow

Google-recommended practices.

Considering the technical requirements, which components should you use for the ingestion of the data?

A.
Google Kubernetes Engine with an SSL Ingress
B.
Cloud IoT Core with public/private key pairs
C.
Compute Engine with project-wide SSH keys
D.
Compute Engine with specific SSH keys

Correct Answer & Rationale:

Answer: A

Explanation:

https://cloud.google.com/solutions/iot -overview

https://cloud.google.com/iot/quotas

Question 6 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a " Site is unavailable " page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost

What should you do?

A.
Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL If the application is down, switch the URL to the " Site is unavailable " page, and notify the Ops team.
B.
Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL If the application is down, switch the URL to the " Site is unavailable " page, and notify the Ops team.
C.
Create a Cloud Monitoring uptime check to validate the application URL If it fails, put a message in a Pub/Sub queue that triggers a Cloud Function to switch the URL to the " Site is unavailable " page, and notify the Ops team.
D.
Use Cloud Error Reporting to check the application URL If the application is down, switch the URL to the " Site is unavailable " page, and notify the Ops team.

Correct Answer & Rationale:

Answer: C

Explanation:

https://cloud.google.com/blog/products/management-tools/how-to-use-pubsub-as-a-cloud-monitoring-notification-channel

Question 7 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study.

To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

A.
Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.
B.
Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
C.
Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
D.
Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

Correct Answer & Rationale:

Answer: D

Explanation:

http s://cloud.goo gle.com/storage/docs/locations

Question 8 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study.

TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

A.
Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
B.
Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
C.
Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
D.
Have the vehicle ' s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.

Correct Answer & Rationale:

Answer: D

Explanation:

Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:

Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.

Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.

[References: https://cloud.google.com/storage/docs/storage-classes, , ]

Question 9 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study.

The TerramEarth development team wants to create an API to meet the company ' s business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?

A.
Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
B.
Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
C.
Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
D.
Use Google Container Engine with a Django Python container. Focus on an API for the public.
E.
Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.

Correct Answer & Rationale:

Answer: A

Explanation:

https://cloud.google.com/endpoints/docs/openapi/about-cloud-endpoints?hl=en_US & _ga=2.21 787131.-1712523161.1522785064

https:/ /cloud.google.com/endpoints/docs/openapi/architecture-overview

https://cloud.google.com/storage/docs/gsutil/commands/test

Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.

From scenario:

Business Requirements

Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory

Support the dealer network with more data on how their customers use their equipment to better position new products and services

Have the ability to partner with different companies – especially with seed and fertilizer suppliers in the fast-growing agricultural business – to create compelling joint offerings for their customers.

[Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth, , ]

Question 10 Google Professional-Cloud-Architect

QUESTION DESCRIPTION:

For this question, refer to the TerramEarth case study

You analyzed TerramEarth ' s business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers ' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company ' s processes should you recommend?

A.
Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
B.
Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
C.
Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
D.
Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

Correct Answer & Rationale:

Answer: C

Explanation:

The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.

Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.

[References: https://cloud.google.com/storage/docs/streaming, https://cloud.google.com/bigquery/docs/loading-data, , ]

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