Module 2: Introduction to Google Cloud Observability
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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 2: Introduction to Google Cloud Observability of Course 12: Logging and Monitoring in Google Cloud – Preparing for Google Cloud Certification: Cloud Security Engineer Professional Certificate.
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question!
Introduction to Google Cloud Observability
Graded Assignment
1. You want a simple way to see the latency of requests for a web application you deployed to Cloud Run. What Google Cloud tool should you use?
- Trace ✅
- Profiler
- Logs Explorer
- Metrics Explorer
Explanation:
Cloud Trace is designed to help developers understand the latency of requests in their applications by collecting and analyzing trace data across services, especially helpful for Cloud Run, App Engine, and GKE workloads.
2. You want to examine messages generated by running code. Which tool might be best for doing this?
- Profiler
- Metrics Explorer
- Trace
- Logs Explorer ✅
Explanation:
Logs Explorer is the best tool for viewing messages and logs generated by running code. It allows filtering, searching, and examining log entries to debug or audit behavior.
3. Users have reported that an application occasionally returns garbage data instead of the intended results, but you have been unable to reproduce this problem in your test environment. Which tool might be of best help?
- Trace
- Profiler
- Error Reporting ✅
- Logs Explorer
Explanation:
Error Reporting aggregates and identifies recurring application errors, making it ideal for diagnosing intermittent issues that are hard to reproduce. It shows stack traces and frequencies.
4. You want to calculate the uptime of a service and receive alerts if the uptime value falls below a certain threshold. Which tool will help you with this requirement?
- Profiler
- Error Reporting
- Logs Explorer
- Cloud Monitoring ✅
Explanation:
Cloud Monitoring includes uptime checks and alerting policies that notify you if uptime drops below thresholds. It’s built to monitor availability and performance.
Related contents:
Module 3: Monitoring Critical Systems
Module 4: Alerting Policies
Module 5: Advanced Logging and Analysis
Module 6: Working with Audit Logs
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