| Exam Code | Professional-Cloud-Architect |
| Exam Name | Google Cloud Architect Professional |
| Vendor | |
| Total Questions | 334 |
| Last Updated | 26-Oct, 2026 |
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Free Professional-Cloud-Architect Practice Questions
Explore 11 free practice questions for the Google Professional-Cloud-Architect exam and review the answers and explanations to support your preparation.
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Question 1
Single answerFor 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?
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Option A:Correct
Replace the existing data warehouse with BigQuery. Use table partitioning.
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Option B:Correct
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
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Option C:Correct
Replace the existing data warehouse with BigQuery. Use federated data sources.
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Option D:Correct
Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: C
Explanation
https://cloud.google.com/solutions/bigquery-data-warehouse#external_sources
https://cloud .google.com/solutions/bigquery-data-warehouse
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Question 2
Single answerFor this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?
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Option A:Correct
Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.
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Option B:Correct
Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.
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Option C:Correct
Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage
bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.
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Option D:Correct
Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: A
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Question 3
Single answerFor this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
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Option A:Correct
Container Engine, Cloud Pub/Sub, and Cloud SQL
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Option B:Correct
Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
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Option C:Correct
Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
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Option D:Correct
Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
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Option E:Correct
Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B
Explanation
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query .
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google ' s unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow SQL queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users’ mobile devices
Use only fully managed services
[References: https://cloud.google.com/solutions/big-data/stream-analytics/, , , ] -
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Question 4
Single answerFor this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
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Option A:Correct
Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Standard”, and Action: “Set to Coldline”, and create a second GCS life-cycle rule with Age: “365”, Storage Class: “Coldline”, and Action: “Delete”.
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Option B:Correct
Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Coldline”, and Action: “Set to Nearline”, and create a second GCS life-cycle rule with Age: “91”, Storage Class: “Coldline”, and Action: “Set to Nearline”.
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Option C:Correct
Create a Cloud Storage lifecycle rule with Age: “90”, Storage Class: “Standard”, and Action: “Set to Nearline”, and create a second GCS life-cycle rule with Age: “91”, Storage Class: “Nearline”, and Action: “Set to Coldline”.
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Option D:Correct
Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Standard”, and Action: “Set to Coldline”, and create a second GCS life-cycle rule with Age: “365”, Storage Class: “Nearline”, and Action: “Delete”.
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Correct Answer: A
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Question 5
Single answerYou need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?
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Option A:Correct
Add a new Dedicated Interconnect connection.
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Option B:Correct
Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.
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Option C:Correct
Add three new Cloud VPN connections.
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Option D:Correct
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: D
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Question 6
Single answerFor 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?
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Option A:Correct
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.
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Option B:Correct
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.
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Option C:Correct
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.
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Option D:Correct
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.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B
Explanation
https://cloud.google.com/functions/docs/securing/authenticating#authenticating_function_to_function_calls
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Question 7
Single answerFor this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?
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Option A:Correct
Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.
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Option B:Correct
Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.
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Option C:Correct
Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage
bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.
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Option D:Correct
Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: A
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Question 8
Single answerTerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?
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Option A:Correct
Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.
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Option B:Correct
Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage
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Option C:Correct
Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.
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Option D:Correct
Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: A
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Question 9
Multiple answersFor this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)
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Option A:Correct
Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
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Option B:Correct
Write a schema migration plan to denormalize data for better performance in BigQuery.
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Option C:Correct
Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
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Option D:Correct
Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
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Option E:Correct
Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: A, B
Explanation
https://cloud.google.com/bigquery/docs/loading-data#loading_denormalized_nested_and_repeat ed_data
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Question 10
Single answerYou 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?
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Option A:Correct
Open a support case regarding the CVE and chat with the support engineer.
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Option B:Correct
Read the CVEs from the Google Cloud Status Dashboard to understand the impact.
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Option C:Correct
Read the CVEs from the Google Cloud Platform Security Bulletins to understand the impact
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Option D:Correct
Post a question regarding the CVE in Stack Overflow to get an explanation
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Option E:Correct
Post a question regarding the CVE in a Google Cloud discussion group to get an explanation
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: C
Explanation
https://cloud.google.com/support/bulletins
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Question 11
Single answerFor this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to
BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an
automated daily basis while managing cost.
What should you do?
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Option A:Correct
Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.
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Option B:Correct
Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.
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Option C:Correct
Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.
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Option D:Correct
Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.
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Correct Answer: A
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