Module 2: Configuring Google Cloud Services for Observability

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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 2: Configuring Google Cloud Services for Observability of Course 13: Observability 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!

Quiz: Configuring Google Cloud Services for Observability

Graded Assignment

1. What are the three ways to install the Ops Agent?

  • On a fleet of VMs ✅
  • Using Cloud Run functions to trigger install
  • On a Single VM ✅
  • On a storage bucket
  • Using Terraform ✅
  • On a container

Explanation:
You can install the Ops Agent, which collects metrics and logs, using:

  • Fleet-wide installation (e.g., using a script or config management tools across multiple VMs),
  • Single VM installation (manually or via startup scripts),
  • Terraform (for infrastructure-as-code deployments).

2. Management wants to see an analysis of resources divided by development team, department, cost center, and application status. What could you do to make this easier?

  • Use customized logging messages that include appropriate resource metadata.
  • Used standardized prefixes on the names of all resources.
  • Add appropriate labels to your Google Cloud resources. ✅
  • Add appropriate tags to your Google Cloud resources.

Explanation:
Labels are key-value pairs that help categorize and filter resources. They’re ideal for tracking usage and cost by team, department, cost center, etc., and work well with Billing Reports, Monitoring, and Logging.

3. What is used to collect metrics inside the VM instead of at the hypervisor level?

  • Cloud Monitoring
  • Graphana
  • Monarch
  • Ops Agent ✅

Explanation:
Ops Agent is designed to run inside the VM to collect logs and system metrics (like CPU, memory, disk usage). This provides more granular visibility than hypervisor-level monitoring.

Related contents:

Module 3: Monitoring Google Cloud Network
Module 4: Investigating Application Performance Issues
Module 5: Optimizing the Costs for Google Cloud Observability

You might also like:

Course 1: Preparing for Your Professional Cloud Security Engineer Journey
Course 2: Google Cloud Fundamentals: Core Infrastructure
Course 3: Networking in Google Cloud: Fundamentals
Course 4: Networking in Google Cloud: Routing and Addressing
Course 5: Networking in Google Cloud: Network Architecture
Course 6: Networking in Google Cloud: Network Security
Course 7: Networking in Google Cloud: Load Balancing
Course 8: Networking in Google Cloud: Hybrid and Multicloud
Course 9: Managing Security in Google Cloud
Course 10: Security Best Practices in Google Cloud
Course 11: Mitigating Security Vulnerabilities on Google Cloud
Course 12: Logging and Monitoring in Google Cloud
Course 14: Hands-On Labs in Google Cloud for Security Engineers

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