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Answer: Use Cloud Monitoring to identify performance bottlenecks and create custom dashboards for specific services., Implement autoscaling policies based on CPU utilization and request rate to automatically adjust the number of instances.
**Correct Answers:** - **B:** Utilizing Cloud Monitoring is essential for gaining insights into your application's performance, uptime, and health. It allows you to pinpoint performance bottlenecks and tailor dashboards for specific services, aiding in performance optimization and user impact assessment. - **D:** Autoscaling policies are crucial for dynamically adjusting instance numbers based on demand and resource usage, such as CPU utilization and request rate. This ensures optimal performance during varying workloads, enhancing user experience while optimizing costs. **Incorrect Answers:** - **A:** Monolithic applications are not recommended for modern cloud environments due to their scalability and maintainability challenges. Microservices architecture is preferred for better performance and scalability. - **C:** Disabling logging and monitoring is not advisable as it removes visibility into application health and performance issues, potentially leading to undetected problems and degraded user experience. - **E:** Manually scaling instances without considering demand or resource usage can result in overprovisioning, leading to unnecessary costs and inefficiency. Autoscaling is a more effective approach.
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As a DevOps engineer optimizing a Google Cloud Platform (GCP) project's performance and evaluating user impact, which two actions should you prioritize?
A
Deploy a single monolithic application across all services to simplify architecture and reduce complexity.
B
Use Cloud Monitoring to identify performance bottlenecks and create custom dashboards for specific services.
C
Disable logging and monitoring to reduce overhead and improve performance.
D
Implement autoscaling policies based on CPU utilization and request rate to automatically adjust the number of instances.
E
Manually increase the number of instances for all services, regardless of resource usage or demand.
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