Google Professional Cloud Architect Practice Exams
Last updated on Oct 23,2026- Exam Code: Professional Cloud Architect
- Exam Name: Google Certified Professional – Cloud Architect (GCP)
- Certification Provider: Google
- Latest update: Oct 23,2026
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly.
What should you do?
- A . Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
- B . Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
- C . Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
- D . Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.
A
Explanation:
https://cloud.google.com/stackdriver/docs/solutions/gke/legacy-stackdriver/monitoring
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?
- A . Load data into Google BigQuery.
- B . Insert data into Google Cloud SQL.
- C . Put flat files into Google Cloud Storage.
- D . Stream data into Google Cloud Datastore.
A
Explanation:
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL
interface.
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQuery is Google’s serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don’t need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
Reference: https://cloud.google.com/bigquery/
You are designing a Data Warehouse on Google Cloud and want to store sensitive data in BigQuery. Your company requires you to generate encryption keys outside of Google Cloud. You need to implement a solution.
What should you do?
- A . Generate a new key in Cloud Key Management Service (Cloud KMS). Store all data in Cloud Storage using the customer-managed key option and select the created key. Set up a Dataflow pipeline to decrypt the data and to store it in a BigQuery dataset.
- B . Generate a new key in Cloud Key Management Service (Cloud KMS). Create a dataset in BigQuery using the customer-managed key option and select the created key
- C . Import a key in Cloud KMS. Store all data in Cloud Storage using the customer-managed key option and select the created key. Set up a Dataflow pipeline to decrypt the data and to store it in a new BigQuery dataset.
- D . Import a key in Cloud KMS. Create a dataset in BigQuery using the customer-supplied key option and select the created key.
D
Explanation:
https://cloud.google.com/bigquery/docs/customer-managed-encryption
You are working at a financial institution that stores mortgage loan approval documents on Cloud Storage. Any change to these approval documents must be uploaded as a separate approval file, so you want to ensure that these documents cannot be deleted or overwritten for the next 5 years.
What should you do?
- A . Create a retention policy on the bucket for the duration of 5 years. Create a lock on the retention policy.
- B . Create the bucket with uniform bucket-level access, and grant a service account the role of Object Writer. Use the service account to upload new files.
- C . Use a customer-managed key for the encryption of the bucket. Rotate the key after 5 years.
- D . Create the bucket with fine-grained access control, and grant a service account the role of Object Writer. Use the service account to upload new files.
A
Explanation:
Reference: https://cloud.google.com/storage/docs/using-bucket-lock
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR’s on-premises systems and Google Cloud. You want to follow Google’s recommended practices for production-level applications.
Considering the EHR Healthcare business and technical requirements, what should you do?
- A . Configure two Partner Interconnect connections in one metro (City), and make sure the Interconnect connections are placed in different metro zones.
- B . Configure two VPN connections from on-premises to Google Cloud, and make sure the VPN devices on-premises are in separate racks.
- C . Configure Direct Peering between EHR Healthcare and Google Cloud, and make sure you are peering at least two Google locations.
- D . Configure two Dedicated Interconnect connections in one metro (City) and two connections in another metro, and make sure the Interconnect connections are placed in different metro zones.
D
Explanation:
based on the requirement of secure and high-performance connection between on-premises systems to Google Cloud
https://cloud.google.com/network-connectivity/docs/interconnect/tutorials/partner-creating-9999-availability
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed.
You want to make sure all your on-premises systems remain reachable during this period.
How should you organize your networking in Google Cloud?
- A . Use the same IP range on Google Cloud as you use on-premises
- B . Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a
secondary range that does not overlap with the range you use on-premises - C . Use an IP range on Google Cloud that does not overlap with the range you use on-premises
- D . Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your
primary IP range and use a secondary range with the same IP range as you use on-premises
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed.
You want to make sure all your on-premises systems remain reachable during this period.
How should you organize your networking in Google Cloud?
- A . Use the same IP range on Google Cloud as you use on-premises
- B . Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a
secondary range that does not overlap with the range you use on-premises - C . Use an IP range on Google Cloud that does not overlap with the range you use on-premises
- D . Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your
primary IP range and use a secondary range with the same IP range as you use on-premises
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.
Which two steps should they take? Choose 2 answers
- A . Load logs into Google BigQuery.
- B . Load logs into Google Cloud SQL.
- C . Import logs into Google Stackdriver.
- D . Insert logs into Google Cloud Bigtable.
- E . Upload log files into Google Cloud Storage.
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.
Which two steps should they take? Choose 2 answers
- A . Load logs into Google BigQuery.
- B . Load logs into Google Cloud SQL.
- C . Import logs into Google Stackdriver.
- D . Insert logs into Google Cloud Bigtable.
- E . Upload log files into Google Cloud Storage.
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup.
Which two steps should they take? Choose 2 answers
- A . Load logs into Google BigQuery.
- B . Load logs into Google Cloud SQL.
- C . Import logs into Google Stackdriver.
- D . Insert logs into Google Cloud Bigtable.
- E . Upload log files into Google Cloud Storage.