You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? (Choose three.)

Load tests must validate Cloud Bigtable performance because it's a primary service, and its scalability directly impacts the overall application. Creating a separate Google Cloud project for load testing is crucial for isolation, preventing accidental impact on production resources, and simplifying resource cleanup. Instrumenting both the load-testing tool and target services with detailed logging and metrics collection provides essential data for analyzing performance bottlenecks and understanding system behavior under load. Running load tests against production is risky and generally not recommended. While third-party systems should ideally handle high load, the immediate focus of this task is on the primary cloud services. Instrumenting production for transaction replay is overly complex and intrusive for routine load testing.