Free Google Cloud Professional Cloud Architect Practice Test

A financial services company needs to design a multi-region application architecture that can handle regional failures while maintaining data consistency for transaction processing. The application must meet a Recovery Time Objective (RTO) of 1 hour and Recovery Point Objective (RPO) of 5 minutes. Which architecture should you recommend?

Your organization is migrating a legacy application that requires specific kernel modules and system-level access. The application needs to scale based on CPU utilization and integrate with other Google Cloud services. What compute option should you choose?

A retail company wants to implement Infrastructure as Code for their Google Cloud resources. They need version control, collaboration features, and automated deployment pipelines. Which combination of tools best supports this requirement?

Your company processes healthcare data and must comply with HIPAA regulations. You need to ensure that all data stored in Cloud Storage buckets is encrypted with keys that your security team controls and can rotate. What encryption approach should you implement?

A data analytics team needs to process 10 TB of data daily using Apache Spark. The processing jobs run for 2-3 hours each morning. The team wants to minimize costs while maintaining performance. What solution should you recommend?

Your application runs on Google Kubernetes Engine and needs to access Cloud SQL. You want to implement the most secure method that doesn't require managing database credentials in your application code or configuration files. What should you do?

A media company streams video content globally and experiences high latency for users in regions far from their origin servers. They want to improve performance and reduce egress costs. What solution should they implement?

Your company needs to migrate a monolithic application to Google Cloud. The application has tightly coupled components and significant technical debt. Management wants to modernize the application over time while ensuring minimal disruption. What migration strategy should you recommend?

An IoT application ingests sensor data from thousands of devices at variable rates. The data needs to be processed in real-time for anomaly detection and stored for batch analytics. Which architecture should you design?

Your organization requires that all VM instances be created only in specific regions and use only approved machine types. What is the most efficient way to enforce these requirements across multiple projects?

A development team is deploying a new microservices application on GKE. They want to implement gradual rollouts that automatically roll back if error rates exceed 5%. What deployment strategy should they use?

Your application uses Cloud SQL and experiences performance degradation during peak hours when connection pools are exhausted. The application has multiple backend services that each create their own database connections. What is the best solution to optimize connection management?

A company wants to implement a CI/CD pipeline for their application. Developers push code to Cloud Source Repositories, and the application should be automatically built, tested, and deployed to GKE only if tests pass. What services should you use?

Your company needs to analyze security logs from multiple Google Cloud projects to detect potential threats and compliance violations. The solution should provide real-time alerting and long-term storage for audit purposes. What should you implement?

An e-commerce application experiences significant traffic spikes during sales events. The application runs on GKE and uses a MySQL database. During peak load, the database becomes a bottleneck. What is the most effective solution to handle these spikes?

Your organization has a VPC in Google Cloud and an on-premises data center. You need to establish private connectivity with predictable bandwidth and low latency for mission-critical applications. What connectivity option should you choose?

A machine learning team wants to train models using large datasets stored in Cloud Storage. Training jobs run intermittently and require GPU resources. The team wants to minimize costs while maintaining flexibility for different frameworks. What solution should you recommend?

Your company is designing a disaster recovery strategy for a critical application running on Google Cloud. The business requires an RTO of 4 hours and RPO of 1 hour. The application uses Compute Engine VMs and Cloud SQL. What backup and recovery strategy should you implement?

A global application requires low-latency access to user profile data from multiple regions. The data is frequently read but infrequently updated. Users must see their own updates immediately, but eventual consistency is acceptable for other users' data. What database solution should you use?

Your team needs to optimize cloud spending. Analysis shows that several Compute Engine instances run at less than 20% CPU utilization most of the time, but occasionally spike to 80% for short periods. What cost optimization strategy should you implement?