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!
Monitoring Critical Systems
Graded Assignment
1. You want to analyze the error rate in your load balancing environment. Which interface helps you view a chart with a ratio of 500 responses to all responses
- Metrics Explorer
- Uptime check
- MQL ✅
- Liveness probe
Explanation:
To analyze a custom ratio, like 500 response errors to total responses, you need a query language capable of calculating derived metrics. MQL allows you to write advanced queries and perform calculations on metric data, such as computing percentages, ratios, or filtering specific response codes in load balancing environments.
2. You want to be notified if your application is down. What Google Cloud tool makes this easy?
- Health check
- Liveness probe
- Readiness probe
- Uptime check ✅
Explanation:
An Uptime check in Cloud Monitoring automatically checks service availability from different global locations and can trigger alerts if the application is down.
3. What is the name of the project that hosts a metrics scope?
- Scoping project ✅
- Evaluating project
- Hosting project
- Monitored project
Explanation:
A scoping project is the GCP project that hosts the metrics scope. It allows you to view and analyze metrics across multiple monitored projects.
Related contents:
Module 2: Introduction to Google Cloud Observability
Module 4: Alerting Policies
Module 5: Advanced Logging and Analysis
Module 6: Working with Audit Logs
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