• List the VPC objects in Google Cloud
• Differentiate between the different types of VPC networks
• Implement VPC networks and firewall rules
• Implement Private Google Access and Cloud NAT

• Recall the CPU and memory options for virtual machines
• Describe the disk options for virtual machines
• Explain VM pricing and discounts
• Use Compute Engine to create and customize VM instances

• Describe the IAM resource hierarchy
• Explain the different types of IAM roles
• Recall the different types of IAM members
• Implement access control for resources using IAM

• Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable
• Choose a data storage service based on your requirements
• Implement data storage services

• Describe the cloud resource manager hierarchy
• Recognize how quotas protect Google Cloud customers
• Use labels to organize resources
• Explain the behavior of budget alerts in Google Cloud
• Examine billing data with BigQuery

• Describe the services for monitoring, logging, error reporting, tracing, and debugging
• Create charts, alerts, and uptime checks for resources with Cloud Monitoring
• Use Cloud Debugger to identify and fix errors

• Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
• Determine which Google Cloud interconnect or peering service to use in specific circumstances
• Create and configure VPN gateways
• Recall when to use Shared VPC and when to use VPC Network Peering

• Recall the various load balancing services
• Determine which Google Cloud load balancer to use in specific circumstances
• Describe autoscaling behavior
• Configure load balancers and autoscaling

• Automate the deployment of Google Cloud services using Terraform
• Outline the Google Cloud Marketplace

Managed Services

A: This course is suitable for architects, system administrators, DevOps engineers, and IT professionals who want to learn how to architect and optimize applications on Google Compute Engine. It is designed for individuals who have a basic understanding of cloud computing concepts and want to gain expertise in designing solutions using Compute Engine.

A: The “Architecting with Google Compute Engine” course covers various topics, including understanding the Compute Engine platform, designing compute instances and networks, configuring storage options, managing virtual machine instances, implementing load balancing and autoscaling, optimizing performance and costs, and ensuring security and compliance.

A: Participants should have a fundamental understanding of cloud computing concepts, including virtual machines, networking, and storage. Familiarity with Google Cloud Platform (GCP) is beneficial but not mandatory.

A: By completing this course, participants will gain the skills and knowledge to architect and optimize applications on Google Compute Engine. They will be able to design compute instances and networks, configure storage options effectively, manage virtual machine instances, implement load balancing and autoscaling for scalability, optimize performance and costs, and ensure security and compliance of Compute Engine deployments.

A: This course is not directly associated with a specific certification. However, the knowledge and skills acquired through this course can be beneficial for individuals pursuing various Google Cloud certifications, such as the “Google Cloud Certified – Professional Cloud Architect” or “Google Cloud Certified – Associate Cloud Engineer” certifications.