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Google Certified Professional Cloud Architect (GCP) Exam (Professional-Cloud-Architect) - Google Cloud Exam Questions
Last updated on June 20, 2026
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Exam Compliance
334
Total Questions
1
Question
Your company operates nationally and plans to use GCP for multiple batch workloads, including some that are not time-critical. You also need to use GCP services that are HIPAA-certified and manage service costs.
How should you design to meet Google best practices?
How should you design to meet Google best practices?
Options
A
Provision standard VMs to the same region to reduce cost. Disable and then discontinue use of all GCP services and APIs that are not HIPAA-compliant.
B
Provision standard VMs in the same region to reduce cost. Discontinue use of all GCP services and APIs that are not HIPAA-compliant.
C
Provisioning preemptible VMs to reduce cost. Disable and then discontinue use of all GCP and APIs that are not HIPAA-compliant.
D
Provisioning preemptible VMs to reduce cost. Discontinue use of all GCP services and APIs that are not HIPAA-compliant.
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2
Question
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?
Options
A
Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
B
Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
C
Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
D
Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
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3
Question
Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices.
What should you do?
What should you do?
Options
A
Export logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.
B
Schedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.
C
Export logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.
D
Export logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.
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4
Question
Your organization has stored sensitive data in a Cloud Storage bucket. For regulatory reasons, your company must be able to rotate the encryption key used to encrypt the data in the bucket. The data will be processed in Dataproc. You want to follow Google-recommended practices for security What should you do?
Options
A
Create a key with Cloud Key Management Service (KMS) Encrypt the data using the encrypt method of Cloud KMS.
B
Generate a GPG key pair. Encrypt the data using the GPG key. Upload the encrypted data to the bucket.
C
Create a key with Cloud Key Management Service (KMS). Set the encryption key on the bucket to the Cloud KMS key.
D
Generate an AES-256 encryption key. Encrypt the data in the bucket using the customer-supplied encryption keys feature.
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5
Question
Your company has a Google Cloud project that uses BlgQuery for data warehousing There are some tables that contain personally identifiable information (PI!) Only the compliance team may access the PH. The other information in the tables must be available to the data science team. You want to minimize cost and the time it takes to assign appropriate access to the tables What should you do?
Options
A
1. Create a dataset for the data science team.
2. Create materialized views of tables that you want to share, excluding Pll
3. Assign an appropriate project-level IAM role to the members of the data science team
4 Assign access controls to the dataset that contains the view 5 Authorize the view to access the source dataset
2. Create materialized views of tables that you want to share, excluding Pll
3. Assign an appropriate project-level IAM role to the members of the data science team
4 Assign access controls to the dataset that contains the view 5 Authorize the view to access the source dataset
B
1 Create a dataset for the data science team 2 Create views of tables that you want to share excluding Pll 3 Assign an appropriate project-level IAM role to the members of the data science team 4 Assign access controls to the dataset that contains the view 5 Authorize the view to access the source dataset
C
1 From the dataset where you have the source data, create materialized views of tables that you want to share excluding Pll 2 Assign an appropriate project-level IAM role to the members of the data science team 3. Assign access controls to the dataset that contains the view.
D
1 From the dataset where you have the source data, create views of tables that you want to share,
excluding Pll 2 Assign an appropriate project-level IAM role to the members of the data science team 3 Assign access controls to the dataset that contains the view
excluding Pll 2 Assign an appropriate project-level IAM role to the members of the data science team 3 Assign access controls to the dataset that contains the view
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