- Explain the advantages of Google Cloud Platform.
- Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
- Compare Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
- Identify the purpose of projects, folders, and organization nodes on Google Cloud Platform
- Describe the purpose of and use cases for Identity and Access Management
- List the methods of interacting with Google Cloud Platform
- Build a solution deployment using Cloud Launcher.
- Identify the purpose of and use cases for Google Compute Engine
- Summarize the various Google Cloud Platform networking and operational tools and services
- Build a Compute Engine virtual machine using the Google Cloud Platform (GCP) Console.
- Build a Compute Engine virtual machine using the gcloud command-line interface.
- Summarize the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Spanner, and Cloud Bigtable
- Choose between the various storage options on Google Cloud Platform
- Build a BigQuery table using data from Cloud Storage.
- Use SQL queries to analyze data stored in BigQuery.
- Define the concept of a container and identify uses for containers
- Identify the purpose of and use cases for Google Container Engine and Kubernetes
- Build a Kubernetes cluster using Kubernetes Engine.
- Deploy and manage Docker containers in Kubernetes Engine using the kubectl command.
- Explain the purpose of and use cases for Google App Engine and Google Cloud Datastore
- Compare the App Engine Standard environment with the App Engine Flexible environment
Express the purpose of and use cases for Google Cloud Endpoints - Express the purpose of and use cases for Apigee Edge.
- Preview an App Engine application using Cloud Shell.
- Launch an App Engine application and then disable it.
- Understand options for software developers to host their source code.
- Understand the purpose of template-based creation and management of resources.
- Understand the purpose of integrated monitoring, alerting, and debugging.
- Build a Deployment Manager deployment.
Update a Deployment Manager deployment. - View the load on a VM instance using Stackdriver.
- Understand the purpose of and use cases for the products in the Google Cloud big data platform..
- Understand the purpose of and use cases for the products in the Google Cloud machine learning platform.
- Load data into a BigQuery table from Cloud Storage.
- Use SQL queries to analyze data in BigQuery.
- Compare GCP's compute services.
- Compare GCP's storage services.
- Compare Google VPC's networking capabilities.
Cloud Solution Architect - Customer Success in security💗🌎