▸case-01 Our team needs to migrate a high-traffic analytics pipeline from AWS to GCP while ensuring minimal downtime during the transition. Could you create a phased migration plan covering workload assessment, pilot testing, full cutover, and post-migration cost optimization? Include clear implementation guidelines and validation steps for each phase. | fail→fail | 47,009 | 65,231 | +39% | 1 | 1 | 0% | 8,248 | 6,512 | -21% | 0 | 0 | — |
▸case-02 We want to implement a best-of-breed multi-cloud setup combining GCP for big data processing, AWS for backend microservices, and Azure for identity management. Please provide an architectural framework that maps out service selections across these three providers, outlines strategies for managing cross-cloud data transfer costs, and lists concrete verification checks. | fail→fail | 45,362 | 26,138 | -42% | 1 | 1 | 0% | 8,254 | 5,058 | -39% | 0 | 0 | — |
▸case-03 We run a stateless web application with PostgreSQL on AWS. We need a disaster recovery strategy using Azure as a secondary provider to handle provider-wide outages. Should we implement an active-active database cluster across AWS and Azure, or an active-passive topology? Provide a recommended recovery strategy. | pass→pass | 21,286 | 22,166 | +4% | 1 | 1 | 0% | 3,426 | 3,974 | +16% | 0 | 0 | — |
▸case-04 Our team wants to build an enterprise application stack that can run identically on AWS, Azure, and GCP. The developers propose writing custom in-house API wrappers for all cloud databases, messaging queues, and object stores. Evaluate this approach and suggest a standard multi-cloud abstraction strategy. | pass→pass | 20,342 | 20,092 | -1% | 1 | 1 | 0% | 3,175 | 4,009 | +26% | 0 | 0 | — |
▸case-05 We are designing a transactional banking service across AWS and GCP that requires global strong consistency and multi-region writes for relational data. Should we select AWS Aurora Global Database, GCP Cloud Spanner, or Azure SQL Database? Detail the best fit and data consistency guarantees. | pass→pass | 23,754 | 20,443 | -14% | 1 | 1 | 0% | 3,973 | 3,967 | -0% | 0 | 0 | — |
▸case-06 Our application processes images stored in AWS S3 using machine learning models running on GCP Compute Engine instances. Data transfer costs are spiking due to raw HTTP downloads over the public internet. Outline a cost-optimized storage architecture for this workload. | pass→pass | 20,680 | 21,183 | +2% | 1 | 1 | 0% | 3,102 | 3,971 | +28% | 0 | 0 | — |
▸case-07 We run night-time batch data processing jobs on AWS EC2 On-Demand instances and GCP Compute Engine On-Demand instances, taking 4 hours to finish. Our bill is too high. What compute purchasing model should we adopt across both clouds to cut costs significantly without changing application code? | fail→fail | 21,085 | 17,296 | -18% | 1 | 1 | 0% | 3,417 | 3,414 | -0% | 0 | 0 | — |
▸case-08 We are containerizing microservices to deploy on AWS, Azure, and GCP using managed Kubernetes offerings. List the corresponding managed Kubernetes platform for each provider and describe how control plane management fees differ among them. | pass→pass | 12,464 | 11,219 | -10% | 1 | 1 | 0% | 2,197 | 2,591 | +18% | 0 | 0 | — |
▸case-09 We operate a global application subject to regional data residency regulations in Europe and North America. How should we structure a geographic distribution pattern across AWS, Azure, and GCP to route user traffic while maintaining regulatory compliance? | pass→fail | 24,020 | 23,196 | -3% | 1 | 1 | 0% | 3,790 | 4,470 | +18% | 0 | 0 | — |
▸case-10 Our executive team ordered an immediate lift-and-shift of 500 legacy monolithic application virtual machines from AWS to GCP within two weeks. Outline the essential assessment steps required in Phase 1 before attempting any workload move. | pass→fail | 18,389 | 17,352 | -6% | 1 | 1 | 0% | 2,831 | 3,397 | +20% | 0 | 0 | — |
▸case-11 We completed the initial evaluation of our e-commerce application moving from Azure to AWS. Can we skip the pilot testing phase and proceed directly to production DNS cutover? Explain what key activities must take place in Phase 2 Pilot. | fail→pass | 13,691 | 14,157 | +3% | 1 | 1 | 0% | 2,259 | 2,811 | +24% | 0 | 0 | — |
▸case-12 An enterprise uses Azure Active Directory for corporate user management, runs containerized services, and executes petabyte-scale ad-hoc analytics queries. How should a multi-cloud architecture distribute these components across AWS, Azure, and GCP? | pass→pass | 24,591 | 19,414 | -21% | 1 | 1 | 0% | 4,021 | 3,682 | -8% | 0 | 0 | — |
▸case-13 We are preparing for the live cutover of an enterprise relational database from AWS Aurora to GCP Cloud SQL during Phase 3 Migration. What cutover mechanism minimizes application downtime and data loss? | fail→fail | 14,572 | 12,154 | -17% | 1 | 1 | 0% | 2,463 | 2,533 | +3% | 0 | 0 | — |
▸case-14 We finished migrating our backend workloads to a multi-cloud GCP and AWS deployment last week. What financial and operational tasks must be performed during Phase 4 Post-Migration Optimization? | pass→fail | 17,113 | 15,131 | -12% | 1 | 1 | 0% | 2,750 | 3,035 | +10% | 0 | 0 | — |
▸case-15 We need to connect our primary AWS VPC with our Azure Virtual Network for high-throughput service traffic. Compare an IPsec VPN tunnel over the public internet versus dedicated private cloud interconnections regarding latency and security. | pass→pass | 17,965 | 22,903 | +27% | 1 | 1 | 0% | 2,999 | 4,456 | +49% | 0 | 0 | — |
▸case-16 We need to deploy a managed key-value NoSQL database across AWS, Azure, and GCP. List the primary managed NoSQL service for each cloud provider and describe how data partitioning is implemented. | fail→fail | 94,500 | 12,504 | -87% | 1 | 1 | 0% | 2,383 | 2,787 | +17% | 0 | 0 | — |
▸case-17 Our operations team currently maintains separate AWS CloudFormation templates, Azure ARM templates, and GCP Deployment Manager files. How can we consolidate infrastructure provisioning across all three clouds using a unified declarer? | fail→fail | 14,424 | 19,060 | +32% | 1 | 1 | 0% | 2,446 | 4,027 | +65% | 0 | 0 | — |
▸case-18 We are building event-driven services using serverless functions across AWS, Azure, and GCP. What are the corresponding serverless function platforms on each cloud, and how do you reduce cold start latency? | pass→pass | 17,901 | 18,412 | +3% | 1 | 1 | 0% | 2,884 | 3,637 | +26% | 0 | 0 | — |
▸case-19 We plan to lock in long-term compute pricing discounts across AWS, Azure, and GCP for baseline database servers operating 24/7. Contrast the commitment mechanisms across providers and explain the primary financial risk. | pass→pass | 24,773 | 18,325 | -26% | 1 | 1 | 0% | 3,528 | 3,706 | +5% | 0 | 0 | — |
▸case-20 Our log collection system writes terabytes of audit logs daily to object storage across AWS, Azure, and GCP. Logs are rarely read after 30 days but must be kept for 7 years. How should lifecycle policies be configured across providers? | pass→pass | 17,352 | 21,752 | +25% | 1 | 1 | 0% | 3,040 | 3,927 | +29% | 0 | 0 | — |
▸case-21 I am writing an AWS IAM policy JSON in my single-cloud AWS setup and getting a syntax error on the Principal field when granting access to an S3 bucket. Here is my JSON policy snippet: `{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":"arn:aws:iam::123456789012:user/Alice","Action":"s3:GetObject","Resource":"arn:aws:s3:::my-bucket/*"}]}`. Can you identify why AWS IAM rejects this JSON format for 'Principal'? | pass→pass | 6,849 | 8,258 | +21% | 1 | 1 | 0% | 1,426 | 2,042 | +43% | 0 | 0 | — |
▸case-22 I am tuning local network socket parameters on an Ubuntu 22.04 web server host using sysctl.conf to handle high concurrent TCP connections. Which kernel setting controls the max backlog of pending TCP connections? | pass→pass | 12,319 | 6,029 | -51% | 1 | 1 | 0% | 1,956 | 1,642 | -16% | 0 | 0 | — |
▸case-23 I am configuring a docker-compose.yml file for running Postgres and Node.js locally on a developer's laptop. How do I make the Node.js container wait for the Postgres container health check before starting? | pass→pass | 9,289 | 7,796 | -16% | 1 | 1 | 0% | 1,748 | 2,108 | +21% | 0 | 0 | — |