SKILL BENCHMARK
Modernizing Infrastructure and Applications with Google Cloud Literacy (Beginner Level)
- 30m
- 30 questions
The Modernizing Infrastructure and Applications with Google Cloud Literacy (Beginner Level) benchmark evaluates your knowledge of modernizing infrastructure using Google Cloud's technologies. You will be assessed on your recognition of compute on Google Cloud, managing infrastructure on Google Cloud, modern Google Cloud applications, and Google Cloud networks. A learner scoring high on this benchmark demonstrates entry-level skills in cloud infrastructure and application deployment and familiarity with Google Cloud's solutions and terminology.
Topics covered
- achieve scalability with managed instance groups
- analyze use cases of VPC peering, virtual private networks (VPNs), and Cloud Interconnect
- create a VM instance with a startup script to install and set up the nginx webserver with a simple site
- define and analyze serverless computing
- define standard terminology related to Google cloud migration
- define the microservices architecture
- define virtual private clouds (VPCs) and outline their properties
- deploy a simple Python web app and access it via the external IP address
- describe Google cloud migration tools for compute and data
- describe how to manage containers using Kubernetes
- evaluate running compute on containers
- identify usage scenarios for improve and move migration
- identify usage scenarios for lift and shift migration
- implement serverless compute using cloud functions
- leverage App Engine for serverless compute with web apps
- leverage Cloud Run for serverless compute with containers
- list the benefits of running workloads on the cloud
- list the characteristics of Google Compute Engine
- list the features of Google Kubernetes Engine
- list the uses of Spot virtual machines (VMs), sole-tenant nodes, shielded, and confidential VMs
- outline the cloud migration path
- outline the spectrum of compute choices from Infrastructure as a Service (IaaS) to Platform as a Service (PaaS) on the Google Cloud
- provide an overview of how to run compute on virtual machines
- sketch the architecture of a Kubernetes cluster
- snapshot a boot disk and create a VM using the snapshot
- specify the configuration options for Google Compute Engine based on workload types
- start, stop, delete, and connect to instances using the gcloud command line tool
- use Secure Shell (SSH) to connect to VMs and use the internal and external IP addresses to ping other VMs on the same network
- use the Google Cloud Console to configure regions, zones, machine types, and series
- use the Google Cloud Console to configure the boot disk, the image, and service accounts
