GCP CERTIFICATION COURSE

Setting up a cloud solution environment

 Setting up cloud projects and accounts

 Creating projects

 Assigning users to predefined IAM roles within a project

 Managing users in Cloud Identity

 Enabling APIs within projects

 Provisioning one or more Stack driver workspaces

 Managing billing configuration

 Creating one or more billing accounts

 Linking projects to a billing account

 Establishing billing budgets and alerts

 Setting up billing exports to estimate daily/monthly charges

 Installing and configuring the CLI, specifically the Cloud SDK

 Planning and configuring a cloud solution

 Planning and estimating Google Cloud product use using the Pricing Calculator

 Planning and configuring compute resources

 Selecting appropriate compute choices for a given workload

 Using preemptible VMs and custom machine types as appropriate

 Planning and configuring data storage options

 Product choice

 Choosing storage options

 Planning and configuring network resources

 Differentiating load balancing options

 Identifying resource locations in a network for availability

 Configuring Cloud DNS

 Deploying and implementing a cloud solution

 Deploying and implementing Compute Engine resources

 Launching a compute instance using Cloud Console and Cloud SDK

 Creating an autoscaled managed instance group using an instance template

 Generating a custom SSH key for instances

 Configuring a VM for Stackdriver monitoring and logging

 Assessing compute quotas and requesting increases

 Installing the Stackdriver Agent for monitoring and logging

 Deploying and implementing Google Kubernetes Engine resources

 Deploying a Google Kubernetes Engine cluster

 Deploying a container application to Google Kubernetes Engine using pods

 Configuring Google Kubernetes Engine application monitoring and logging

 Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources

 How to deploy an application, updating scaling configuration, versions, and traffic splitting

 How to deploy an application that receives Google Cloud events

 Deploying and implementing data solutions

 Initializing data systems with product

 Loading data

 Deploying and implementing networking resources

 Creating a VPC with subnets

 Launching a Compute Engine instance with custom network configuration

 Creating ingress and egress firewall rules for a VPC

 Creating a VPN between a Google VPC and an external network using Cloud VPN

 Creating a load balancer to distribute application network traffic

 Deploying a solution using Cloud Marketplace

 Browsing Cloud Marketplace catalog and viewing solution details

 Deploying a Cloud Marketplace solution

 Deploying application infrastructure using Cloud Deployment Manager

 Developing Deployment Manager templates

 Launching a Deployment Manager template

 Ensuring successful operation of a cloud solution

 Managing Compute Engine resources

 Managing a single VM instance

 SSH/RDP to the instance

 Attaching a GPU to a new instance and installing CUDA libraries

 Viewing current running VM inventory

 Working with snapshots

 Working with images

 Working with instance groups

 Working with management interfaces

 Managing Google Kubernetes Engine resources

 Viewing current running cluster inventory

 Browsing the container image repository and viewing container image details

 Working with node pools

 Working with pods

 Working with services

 Working with stateful applications

 Working with management interfaces

 Managing App Engine and Cloud Run resources. Tasks include

 Adjusting application traffic splitting parameters

 Setting scaling parameters for autoscaling instances

 Working with management interfaces

 Managing storage and database solution

 Moving objects between Cloud Storage buckets

 Converting Cloud Storage buckets between storage classes

 Setting object life cycle management policies for Cloud Storage buckets

 Executing queries to retrieve data from data instances

 Estimating costs of a BigQuery query

 Backing up and restoring data instances

 Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery

 Working with management interfaces

 Managing networking resources

 Adding a subnet to an existing VPC

 Expanding a subnet to have more IP addresses

 Reserving static external or internal IP addresses

 Working with management interfaces

 Monitoring and logging

 Creating Stackdriver alerts based on resource metrics

 Creating Stackdriver custom metrics

 Configuring log sinks to export logs to external systems

 Viewing and filtering logs in Stackdriver

 Viewing specific log message details in Stackdriver

 Using cloud diagnostics to research an application issue

 Viewing Google Cloud Platform status

 Working with management interfaces