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Professional Cloud Architect practice questions

230 free questions with answers and explanations.

Practice test
  1. 51.A global online gaming company needs to store session data for millions of concurrent users. This data requires extremely low-latency access (sub-millisecond) for read and write operations and must be highly scalable to handle peak loads. Data consistency can be eventually consistent. Which Google Cloud storage service is best suited for this use case?Design and plan a cloud solution architecture
  2. 52.A financial services company is migrating a critical, highly transactional application to Google Cloud. The application requires extremely low latency access to a database, with consistent performance and high availability across multiple regions. It also needs to scale globally to handle millions of transactions per second. Which Google Cloud database service is most appropriate for this scenario?Design and plan a cloud solution architecture
  3. 53.A large enterprise has a private data center connected to Google Cloud via Dedicated Interconnect. They are migrating a critical application that requires access to both on-premises resources and services within a Google Cloud VPC. The enterprise security policy mandates that all traffic between the on-premises network and Google Cloud, including traffic destined for Google-managed services (e.g., Cloud Storage, BigQuery), must traverse the Dedicated Interconnect and remain private, without going over the public internet. Which networking configuration is required to meet this security policy?Design and plan a cloud solution architecture
  4. 54.A company is designing a disaster recovery strategy for its critical application hosted on Compute Engine in a single region. The Recovery Time Objective (RTO) is 1 hour, and the Recovery Point Objective (RPO) is 15 minutes. The application data is stored on Persistent Disks attached to the VMs. Which disaster recovery approach should be recommended?Design and plan a cloud solution architecture
  5. 55.A media company hosts a popular online streaming platform on Google Cloud. They need to analyze user behavior data, including clickstreams, viewing history, and ratings, to provide personalized recommendations. This data arrives continuously and at high velocity, requiring immediate processing to update user profiles and recommendation models. The solution must handle petabytes of data, scale elastically, and provide low-latency query capabilities for real-time personalization. Which data architecture best meets these requirements?Design and plan a cloud solution architecture
  6. 56.A startup is building a new social media application that needs to store user-generated content, including images and videos. The application expects rapid, unpredictable growth in data volume (potentially petabytes) and user traffic. Content needs to be highly available globally, securely stored, and accessible from various client devices. The startup wants a cost-effective solution with minimal operational overhead. Which Google Cloud storage service should they choose?Design and plan a cloud solution architecture
  7. 57.A global media company needs to store petabytes of video content that is frequently accessed by users worldwide. They require extremely low latency for content delivery and high availability. The company also wants to minimize egress costs for global content distribution. Which Google Cloud storage and networking combination should they use?Design and plan a cloud solution architecture
  8. 58.A financial services company is migrating its critical trading platform to Google Cloud. The platform requires extremely low latency access to a high-performance database and needs to maintain strict data residency requirements within a specific region. The application also experiences unpredictable, spiky workloads. Which database solution best meets these requirements?Design and plan a cloud solution architecture
  9. 59.A global e-commerce company is experiencing inconsistent performance and high latency for its customer-facing application, which is hosted on Google Cloud. The application serves users worldwide, and the company wants to ensure optimal performance regardless of the user's geographical location. They also need to improve the reliability and availability of the application. Which Google Cloud networking product would best address these requirements?Design and plan a cloud solution architecture
  10. 60.A data analytics company needs to process large datasets (petabytes) daily from various sources, transform them, and load them into BigQuery for analysis. The processing jobs are complex, involve custom code, and require a serverless approach to minimize operational overhead and scale automatically. Which Google Cloud service is best suited for this ETL pipeline?Design and plan a cloud solution architecture
  11. 61.A global manufacturing company wants to implement a robust disaster recovery (DR) strategy for its critical applications hosted on Google Cloud. The primary objective is to achieve a Recovery Time Objective (RTO) of less than 4 hours and a Recovery Point Objective (RPO) of less than 1 hour. Their applications primarily use Compute Engine instances and Cloud SQL databases. Which DR approach aligns best with these objectives?Analyze and optimize technical and business processes
  12. 62.A global media company uses Google Cloud Storage (GCS) for storing petabytes of video content. They have a mix of content: frequently accessed new releases, content for active production workflows, and a vast archive of older, rarely accessed footage that must be retained for compliance for over 10 years. The company wants to minimize storage costs while ensuring appropriate access performance for each content type. Which GCS storage class strategy should they implement?Analyze and optimize technical and business processes
  13. 63.A global logistics company wants to build a recommendation engine for optimizing delivery routes. This engine needs to process historical delivery data (petabytes in BigQuery), real-time traffic updates (streaming via Pub/Sub), and driver location data (from IoT devices). The goal is to generate optimal routes with minimal latency for drivers, requiring complex graph algorithms and machine learning models. Which Google Cloud service is best suited for orchestrating and executing this complex, hybrid (batch and streaming) data processing and machine learning pipeline?Analyze and optimize technical and business processes
  14. 64.A large manufacturing company is migrating its legacy ERP system to Google Cloud. The ERP system relies on a complex, highly customized database schema that has evolved over 20 years. The company's database administrators are highly skilled in Oracle Database management but have limited experience with cloud-native databases. The migration strategy prioritizes minimal application code changes and maximum compatibility with existing SQL queries and stored procedures. Which Google Cloud database service should they choose to minimize migration effort and leverage existing DBA skills?Analyze and optimize technical and business processes
  15. 65.A global SaaS company is migrating its multi-tenant application to Google Cloud. They need a comprehensive monitoring solution that can collect metrics, logs, and traces from their GKE clusters, Cloud SQL instances, and custom application components. The solution must provide dashboards, alerting, and root cause analysis capabilities across all these services to quickly identify and resolve performance issues. Which Google Cloud service should they use?Analyze and optimize technical and business processes
  16. 66.A global media company is planning to migrate its on-premises video editing and rendering farm to Google Cloud. The current setup involves large shared network storage (NAS) appliances that are accessed by hundreds of Linux workstations using NFS. The company requires low-latency, high-throughput shared file storage that can be accessed concurrently by many instances. Which Google Cloud service is the most appropriate for this requirement?Analyze and optimize technical and business processes
  17. 67.A global financial institution is developing a new real-time fraud detection system. This system needs to ingest millions of transactions per second from various sources, process them with very low latency, and store the results for immediate querying and long-term analysis. The data must be highly available and globally consistent. Which combination of Google Cloud services would be MOST suitable for the ingestion and processing components of this system?Analyze and optimize technical and business processes
  18. 68.A global news organization operates a content management system (CMS) on Google Cloud. The CMS frequently connects to a Cloud SQL PostgreSQL database, leading to a large number of open connections and occasional database performance bottlenecks during peak news events. The development team wants to optimize database connection management to improve performance and reduce overhead. What strategy should they implement?Analyze and optimize technical and business processes
  19. 69.A global logistics company wants to build a recommendation engine for optimizing delivery routes. This engine will process real-time telemetry data from thousands of delivery vehicles, combine it with historical traffic patterns, weather forecasts, and customer delivery preferences. The data processing workflow involves several complex steps: data ingestion, cleaning, feature engineering, model inference, and result storage. The company needs a fully managed service that can orchestrate these diverse tasks, handle dependencies, and allow for programmatic pipeline definition using Python. Which Google Cloud service should they use?Analyze and optimize technical and business processes
  20. 70.A global financial institution is developing a new real-time fraud detection system. This system needs to ingest millions of transactions per second, process them with very low latency (sub-second), and publish the results to multiple downstream analytics and alerting systems. The solution must be highly scalable, durable, and capable of handling bursts of traffic without data loss. Which Google Cloud service is best suited for ingesting and distributing this real-time data?Analyze and optimize technical and business processes
  21. 71.A data engineering team is migrating legacy Extract, Transform, Load (ETL) jobs to Google Cloud. These jobs currently run on-premises using custom Python scripts and require precise scheduling, dependency management, and monitoring of complex workflows. The team needs a managed service that can orchestrate these workflows, integrate with various Google Cloud services, and support custom Python code. Which Google Cloud service is best suited for this requirement?Analyze and optimize technical and business processes
  22. 72.A global logistics company is building a new real-time tracking system for its fleet of delivery vehicles. The system needs to ingest millions of location updates per minute, process them to identify route deviations, and store them for historical analysis. Latency for processing route deviations must be under 100 milliseconds. Which set of Google Cloud services would be most appropriate for this architecture?Analyze and optimize technical and business processes
  23. 73.A company is migrating its data warehouse to BigQuery. They have petabytes of historical data stored in various on-premises databases and flat files. The migration requires ensuring data quality and consistency, transforming data into a BigQuery-compatible schema, and orchestrating complex ETL workflows. Which Google Cloud service is most suitable for building and managing these complex data migration and transformation pipelines?Analyze and optimize technical and business processes
  24. 74.A global e-commerce company is experiencing inconsistent application performance during peak shopping seasons, leading to customer dissatisfaction and lost sales. Their current architecture uses a mix of microservices deployed on Google Kubernetes Engine (GKE). They suspect that communication between some services is inefficient, leading to high latency and retries. They want to implement a solution that allows them to observe, manage, and secure service-to-service communication without modifying application code. Which Google Cloud service should they use?Analyze and optimize technical and business processes
  25. 75.A healthcare provider is developing a new patient portal application on Google Cloud. Due to regulatory compliance (HIPAA, GDPR), all patient data must reside in a specific geographical region (e.g., 'us-east1') and must not leave that region, even for backup or disaster recovery purposes, unless explicitly approved and configured. How should you design the data storage strategy to ensure strict data residency compliance?Analyze and optimize technical and business processes
  26. 76.A multinational company is migrating its enterprise resource planning (ERP) system to Google Cloud. The ERP system uses a relational database that stores highly sensitive customer data. The company requires strict control over encryption keys and wants to ensure that Google does not have access to these keys. What encryption option should be implemented for the database?Analyze and optimize technical and business processes
  27. 77.A financial services company is planning to migrate its core trading platform to Google Cloud. This platform requires extremely low latency (sub-millisecond) for transaction processing and strict data residency controls due to regulatory requirements. The current on-premises setup uses specialized hardware and direct fiber connections. Which Google Cloud design principle should be prioritized to meet these stringent requirements?Analyze and optimize technical and business processes
  28. 78.A software-as-a-service (SaaS) company is migrating its multi-tenant application to Google Cloud. The application's backend consists of microservices deployed on GKE, and it uses Cloud Memorystore for Redis as a caching layer. The company needs to implement a robust monitoring and alerting strategy to proactively detect performance bottlenecks, resource saturation, and application errors across its microservices and caching layer. Which Google Cloud service provides a comprehensive solution for this requirement?Analyze and optimize technical and business processes
  29. 79.A data analytics company uses BigQuery for its core data warehousing needs. They have several large tables (tens of terabytes) that are queried frequently by various business intelligence (BI) tools and data scientists. Data scientists often perform ad-hoc queries, which sometimes lead to high query costs and slow performance. You need to recommend a strategy to optimize query performance and control costs for these large tables. What should you advise?Analyze and optimize technical and business processes
  30. 80.A large retail company is migrating its on-premises data warehouse to Google Cloud BigQuery. They have petabytes of historical sales data stored in various formats (CSV, JSON, XML) across multiple on-premises databases and file systems. The data needs to be cleaned, transformed, and loaded into BigQuery on a daily basis. The company requires a fully managed, serverless solution that can handle large volumes of data and complex transformations without requiring extensive operational overhead. Which Google Cloud service should they use for this ETL process?Analyze and optimize technical and business processes
  31. 81.A large enterprise is migrating its legacy data analytics platform to Google Cloud. They have petabytes of historical data stored in various on-premises databases and file systems. The migration needs to be performed with minimal impact on production systems, ensuring data integrity and security, and optimizing for large-scale, one-time transfer. Which Google Cloud service is most suitable for this initial data migration?Analyze and optimize technical and business processes
  32. 82.A large e-commerce company is experiencing inconsistent application performance during peak shopping seasons. Their current architecture uses Compute Engine instances managed by a regional Managed Instance Group (MIG) behind a Global External Application Load Balancer. They observe that instances often reach 90% CPU utilization before new instances are provisioned, leading to customer-facing latency. Which optimization strategy should they implement to improve responsiveness during traffic spikes?Analyze and optimize technical and business processes
  33. 83.A startup is deploying a new web application on Google Cloud. To minimize initial infrastructure costs, they want to use a serverless architecture where possible. The application consists of a frontend served by Cloud Storage, a backend API, and a database. The backend API is expected to have highly variable traffic, with periods of no activity and sudden spikes. Which Google Cloud service should be chosen for the backend API to optimize cost and handle variable traffic efficiently?Analyze and optimize technical and business processes
  34. 84.A media streaming company uses Compute Engine instances for its video transcoding pipeline. The workload consists of many independent, short-lived tasks that can be interrupted and restarted without significant data loss. The company wants to significantly reduce compute costs while maintaining high throughput. Which Compute Engine instance type should they primarily utilize for this workload?Analyze and optimize technical and business processes
  35. 85.A global financial institution is migrating its on-premises data warehouse to BigQuery. They have strict data governance policies, including requirements for data lineage, masking sensitive data, and auditing all data access. They also need to ensure that data transformations are repeatable and version-controlled. Which Google Cloud service should be primarily used to meet these requirements?Analyze and optimize technical and business processes
  36. 86.A global manufacturing company wants to implement a robust disaster recovery (DR) strategy for its critical applications hosted on Compute Engine instances across multiple Google Cloud regions. The applications require a Recovery Time Objective (RTO) of less than 15 minutes and a Recovery Point Objective (RPO) of less than 5 minutes. Data is stored on Persistent Disks attached to the Compute Engine instances. Which DR approach should they adopt?Analyze and optimize technical and business processes
  37. 87.A global ride-sharing company is building a new real-time analytics platform on Google Cloud. They need to ingest millions of events per second (e.g., driver location updates, ride requests, payment confirmations) from various mobile applications and IoT devices. This data must be immediately available for stream processing to detect anomalies, update real-time dashboards, and feed into machine learning models. The solution requires extremely high throughput, low latency, and automatic scalability to handle unpredictable spikes in event volume. Which Google Cloud service is MOST suitable for ingesting this real-time event stream?Analyze and optimize technical and business processes
  38. 88.A large enterprise is migrating a legacy application that relies heavily on multicast communication for service discovery and inter-service messaging. The application is critical and cannot be refactored to use standard unicast or pub/sub mechanisms in the short term. The enterprise wants to lift and shift this application to Google Cloud while maintaining its existing multicast functionality. Which networking solution should they implement?Analyze and optimize technical and business processes
  39. 89.A global SaaS company is migrating its multi-tenant application to Google Cloud. They need to collect, analyze, and alert on operational data (metrics, logs, traces) from their Compute Engine instances, GKE clusters, and various managed services. The solution must provide a unified view of their infrastructure and application health, support custom metrics, and integrate with notification channels. Which Google Cloud Operations Suite tool should they primarily use for this purpose?Analyze and optimize technical and business processes
  40. 90.A global ride-sharing company is building a new real-time analytics platform on Google Cloud. They need to ingest millions of events per second from various sources (mobile apps, IoT devices, vehicle sensors) and process them with sub-second latency. The processed data will be used for dynamic pricing, fraud detection, and real-time driver matching. Which Google Cloud service combination should they use for reliable, high-throughput, low-latency event ingestion and initial processing?Analyze and optimize technical and business processes
  41. 91.A media company is migrating its video transcoding pipeline to Google Cloud. They currently use a queue-based system with on-premises VMs that are often underutilized outside of peak hours, leading to high operational costs. The transcoding jobs are compute-intensive, can be interrupted and restarted, and have flexible deadlines (within 24 hours). They want to optimize costs while ensuring all jobs complete within their deadlines. Which Google Cloud compute option is most cost-effective for this workload?Analyze and optimize technical and business processes
  42. 92.A global online gaming company is experiencing significant fluctuations in user traffic, with peak hours seeing 10x the traffic of off-peak hours. Their game backend runs on Compute Engine instances. They need to ensure high availability and responsiveness during peak loads while minimizing costs during off-peak times. The company also wants to automate the deployment of new software versions and ensure instance health. Which Google Cloud compute strategy should they implement?Analyze and optimize technical and business processes
  43. 93.A global e-commerce company is building a new product catalog service that needs to serve millions of requests per second with extremely low latency (single-digit milliseconds) globally. The data is highly structured, and strong consistency is required across all regions for critical operations like inventory updates, but eventual consistency is acceptable for non-critical reads. The database must scale horizontally across multiple continents. Which Google Cloud database service is best suited for these requirements?Analyze and optimize technical and business processes
  44. 94.A global news organization operates a content management system (CMS) on Google Cloud. The CMS is critical for publishing breaking news and experiences unpredictable traffic spikes during major events. It's deployed as a microservices architecture on GKE, backed by a Cloud SQL for PostgreSQL database. During peak load, the database connections often saturate, leading to application errors. Which optimization strategy should the architect recommend to handle the increased database connection load and improve application resilience?Analyze and optimize technical and business processes
  45. 95.A global retail company is migrating its data warehouse to BigQuery. They have petabytes of historical sales data currently stored in various on-premises databases (Oracle, SQL Server) and flat files (CSV, JSON). The data needs to be transformed, cleansed, and loaded into BigQuery on a daily basis. The company lacks in-house expertise in managing complex ETL pipelines. Which Google Cloud service should they use for a fully managed, serverless ETL solution?Analyze and optimize technical and business processes
  46. 96.A global manufacturing company wants to implement a robust disaster recovery (DR) strategy for its critical ERP system, which runs on Compute Engine instances with a Cloud SQL database. The company requires a Recovery Time Objective (RTO) of less than 4 hours and a Recovery Point Objective (RPO) of less than 15 minutes. The DR solution must be cost-effective and minimize operational overhead. What is the MOST appropriate DR strategy for this scenario?Analyze and optimize technical and business processes
  47. 97.A global gaming company is developing a new real-time multiplayer game. The game backend requires a globally distributed database that can handle millions of concurrent connections, provide extremely low latency for reads and writes across continents, and scale elastically to meet unpredictable player demand. Data consistency for player profiles and game state is paramount. Which Google Cloud database service is best suited for these requirements?Analyze and optimize technical and business processes
  48. 98.A large e-commerce company experiences significant traffic spikes during seasonal sales events, leading to inconsistent website performance and occasional outages. Their current infrastructure is primarily on-premises, with some non-critical services migrated to Google Cloud. They want to ensure high availability and responsiveness for their main website during these peak times while optimizing costs. Which Google Cloud strategy should they prioritize?Analyze and optimize technical and business processes
  49. 99.A media streaming company uses Google Cloud Storage (GCS) for storing petabytes of video content. They have a strict requirement that all content must be accessible within milliseconds globally for their users, but also need to minimize storage costs for infrequently accessed archival footage. What is the most cost-effective storage class combination for this scenario?Analyze and optimize technical and business processes
  50. 100.A global logistics company is experiencing intermittent performance degradation in its route optimization service, which is deployed on Google Kubernetes Engine (GKE). The service relies on a custom machine learning model that is sensitive to CPU and memory availability. Developers report that the service sometimes gets throttled even when nodes appear to have available resources. Which GKE optimization strategy should they investigate to ensure consistent performance for their CPU/memory-intensive workloads?Analyze and optimize technical and business processes