SKILL BENCHMARK
GCP Architect: Designing and Planning a Cloud Solution Architecture Competency (Intermediate Level)
- 29m
- 29 questions
The Designing and Planning a Cloud Solution Architecture Competency (Intermediate Level) benchmark measures your understanding of the skills and knowledge required to design and plan a cloud solution architecture that meets business and technical requirements. You will be evaluated on your ability to design for business and technical requirements, Google compute services, container orchestration, networking, storage, and databases. A learner who scores high on this benchmark demonstrates competency in many areas of this domain with the knowledge and insights needed to analyze customer needs, choose appropriate GCP services, and create a migration plan.
Topics covered
- analyze different business needs so you can help ensure businesses are successful when they deploy in the cloud
- create a cloud-native relational database and explore the options available
- create and use buckets for object storage in Google Cloud
- deploy containers to Google Compute Engine
- describe how to design infrastructure that meets business objectives for cost efficiency
- describe the purpose and types of network load balancing options available in Google Cloud networking
- describe the use and configuration of Cloud VPN
- describe the use and configuration of VPC firewalls
- determine when adding a shared VPC or enabling VPC Network Peering is advantageous for an organization
- examine use cases for Google Cloud SQL and install and configure the gcloud CLI
- explain how to design infrastructure that is compliant with regulations around privacy and data integrity
- explain how to design infrastructure that meets expectations around accessing large amounts of data
- identify and select key compute high availability features
- identify and select key compute scalability features
- identify and select key storage high availability features
- identify key differentiators between types of storage available on Google Cloud
- identify the advantages and challenges of implementing infrastructure as code on Google Cloud
- identify the business use cases and infrastructure associated with deploying container applications to Google Cloud Run
- identify the purpose and key components of a VPC
- identify the steps and options available when creating persistent disks
- identify the use cases that effectively leverage Google Compute Engine (GCE)
- manage object life cycles on Google Cloud Storage with versioning, retention polices, holds, and object life cycles
- outline business requirements for choosing a Google NoSQL database and choose the most beneficial database type
- outline business requirements for choosing a Google relational database and choose the most beneficial database type
- outline the business use cases and infrastructure associated with deploying container applications to Google Kubernetes Engine (GKE)
- prepare to deploy multiple VMs by creating instance groups
- recognize how to design and maintain Google Cloud containers with maximum efficiency and safety
- recognize use cases for effectively leveraging Google Kubernetes Engine (GKE)
- select the appropriate compute resource from among Cloud Functions, App Engine, Google Kubernetes Engine, and Google Cloud Platform
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