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Course Outline
Module 1: Introduction to Google Cloud
- List the different ways of interacting with Google Cloud
- Use the Cloud Console and Cloud Shell
- Create Cloud Storage buckets
- Use the Google Cloud Marketplace to deploy solutions
Module 2: Virtual Networks
- 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
Module 3: Virtual Machines
- 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
Module 4: Cloud IAM
- Describe the Cloud IAM resource hierarchy
- Explain the different types of IAM roles
- Recall the different types of IAM members
- Implement access control for resources using Cloud IAM
Module 5: Storage and Database Services
- Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
- Choose a data storage service based on your requirements
- Implement data storage services
Module 6: Resource Management
- 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
Module 7: Resource Monitoring
- 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
Module 8: Interconnecting Networks
- 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
Module 9: Load Balancing and Autoscaling
- 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
Module 10: Infrastructure Automation
- Automate the deployment of Google Cloud services using Deployment Manager or Terraform
- Outline the Google Cloud Marketplace
Module 11: Managed Services
- Describe the managed services for data processing in Google Cloud
Requirements
Completion of Google Cloud Platform Fundamentals or equivalent experience Basic proficiency with command-line tools and Linux operating system environments Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
21 Hours
Testimonials (1)
Responses with solutions and practical use.