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1.1 Setting up cloud projects and accounts.
● creating a resource hierarchy
● Applying organizational policies to the resource hierarchy
● Granting members IAM roles within a project
● Managing users and groups in Cloud Identity (manually and automated)
● Enabling APIs within projects
● Provisioning and setting up products in Google Cloud Observability
● assessing quotas and requesting increases
1.2 Managing billing configuration.
● creating one or more billing accounts
● Linking projects to a billing account
● Establishing billing budgets and alerts
● setting up billing exports
2.1 Planning and configuring compute resources.
● selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions)
● Using Spot VM instances and custom machine types as appropriate
2.2 Planning and configuring data storage options.
● Product choice (e.g., Cloud SQL, BigQuery, Firestore, Spanner, Bigtable)
● choosing storage options (e.g., zonal Persistent Disk, regional Persistent Disk, Standard,Nearline, Coldline, Archive).
2.3 Planning and configuring network resources.
● Load balancing
● Availability of resource locations in a network
● Network Service Tiers
3.1 Deploying and implementing Compute Engine resources
● Launching a compute instance (e.g., assign disks, availability policy, SSH keys)
● Creating an autoscaled managed instance group by using an instance template
● Configuring OS Login
● Configuring VM Manager
3.2 Deploying and implementing Google Kubernetes Engine resources
● Installing and configuring the command line interface (CLI) for Kubernetes (kubectl)
● deploying a Google Kubernetes Engine cluster with different configurations (e.g., Autopilot, regional clusters, private clusters, GKE Enterprise)
● deploying a containerized application to Google Kubernetes Engine
3.3 Deploying and implementing Cloud Run and Cloud Functions resources
● Deploying an application
● Deploying an application for receiving Google Cloud events (e.g., Pub/Sub events, Cloud Storage object change notification events, Eventarc)
● Determining where to deploy an application by using Cloud Run (fully managed), Cloud Run for Anthos, or Cloud Functions
3.4 Deploying and implementing data solutions
● Deploying data products (e.g., Cloud SQL, Firestore, BigQuery, Spanner, Pub/Sub, Dataflow, Cloud Storage, AlloyDB)
● Loading data (e.g., command line upload, load data from Cloud Storage, Storage Transfer Service)
3.5 Deploying and implementing networking resources.
● Creating a VPC with subnets (e.g., custom mode VPC, Shared VPC)
● Creating ingress and egress firewall rules and policies (e.g., IP subnets, network tags,
service accounts)
● Peering external networks (e.g., Cloud VPN, VPC Network Peering)
3.6 Implementing resources through infrastructure as code.
● Infrastructure as code tooling (e.g., Cloud Foundation Toolkit, Cong Connector,Terraform, Helm)
4.1 Managing Compute Engine resources.
● Remotely connecting to the instance
● Viewing current running VM inventory (e.g., instance IDs, details)
● Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot, schedule a snapshot)
● Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)
4.2 Managing Google Kubernetes Engine resources.
● Viewing current running cluster inventory (e.g., nodes, Pods, Services)
● Configuring Google Kubernetes Engine to access Artifact Registry
● Working with node pools (e.g., add, edit, or remove a node pool)
● Working with Kubernetes resources (e.g., Pods, Services, Statefulsets)
● Managing Horizontal and Vertical autoscaling configurations
4.3 Managing Cloud Run resources.
● deploying new versions of an application
● Adjusting application trac spliing parameters
● Setting scaling parameters for autoscaling instances
4.4 Managing storage and database solutions
● Managing and securing objects in Cloud Storage buckets
● setting object lifecycle management policies for Cloud Storage buckets
● Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Spanner, Firestore, AlloyDB)
● Estimating costs of data storage resources
● Backing up and restoring database instances (e.g., Cloud SQL, Firestore)
● Reviewing job status (e.g., Dataow, BigQuery)
4.5 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 Cloud DNS and Cloud NAT
4.6 Monitoring and logging.
● Creating Cloud Monitoring alerts based on resource metrics
● Creating and ingesting Cloud Monitoring custom metrics (e.g., from applications or logs)
● Exporting logs to external systems (e.g., on-premises, BigQuery)
● Configuring log buckets, log analytics, and log routers
● Viewing and altering logs in Cloud Logging
● Viewing specific log message details in Cloud Logging
● Using cloud diagnostics to research an application issue
● Viewing Google Cloud status
● Configuring and deploying Ops Agent
● Deploying Managed Service for Prometheus
● Configuring audit logs
5.1 Managing Identity and Access Management (IAM).
● Viewing and creating IAM policies
● managing the various role types and defining custom IAM roles (e.g., basic, predefined, custom)
5.2 Managing service accounts.
● creating service accounts
● Using service accounts in IAM policies with minimum permissions
● Assigning service accounts to resources
● Managing IAM of a service account
● Managing service account impersonation
● Creating and managing short-lived service account credentials