As a DevOps engineer optimizing a Google Cloud Platform (GCP) project's performance and evaluating user impact, which two actions should you prioritize?

Real Exam

Deploy a single monolithic application across all services to simplify architecture and reduce complexity.

Use Cloud Monitoring to identify performance bottlenecks and create custom dashboards for specific services.

Disable logging and monitoring to reduce overhead and improve performance.

Implement autoscaling policies based on CPU utilization and request rate to automatically adjust the number of instances.

Manually increase the number of instances for all services, regardless of resource usage or demand.

Google Professional Cloud DevOps Engineer