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Google Cloud Exams
GCP
Professional Cloud Architect
Topics
managed instance group

Professional Cloud Architect

Design, plan, and manage secure, scalable, and highly available solutions on Google Cloud, and track your readiness for the Professional Cloud Architect exam Domain by Domain.

Intermediate

Prepare and test your skills

Description
Sample Question
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Intermediate

Prepare and test your skills

Description
Sample Question
Free Trial
Practice Test

Google Cloud feature

managed instance group

Topic in 14 exam domains

managed instance group · Feature · Compute Engine
managed instance group · Concept
Managed instance group · Feature

Also called: autoscaled managed instance group, Compute Engine managed instance group, Compute Engine MIG, group of managed instances, IGM, managed instance group (stateless), managed instance groups, MIG, MIGs, regional MIGs, stateful MIGs, zonal managed instance groups

A group of virtual machine instances in Compute Engine that are treated and managed as a single entity.

Where this appears on the exam

14 objectives in 4 of 6 domains

Domain 1
Designing and planning a cloud solution architecture
~25% of exam
1. 1.1Designing a cloud solution infrastructure that meets business requirements
2. 1.2Designing a cloud solution infrastructure that meets technical requirements
3. 1.5Envisioning future solution improvements
  - Cloud-first design approach
Domain 2
Managing and provisioning a cloud solution infrastructure
~17.5% of exam
1. 2.2Configuring individual storage systems
  - Data processing and compute provisioning
2. 2.3Configuring compute systems
  - Infrastructure orchestration, resource configuration, and patch management
Domain 4
Analyzing and optimizing technical and business processes
~15% of exam
1. 4.1Analyzing and defining technical processes
  - Disaster recovery
2. 4.2Analyzing and defining business processes
  - Decision-making processes
  - Cost optimization/resource optimization (CapEx/OpEx)
Domain 5
Managing implementation
~12.5% of exam
1. 5.1Advising development and operation teams to ensure the successful deployment of the solution
  - Testing frameworks (load/unit/integration)

Related topics

Cloud RunService Cloud Service MeshService Compute EngineService ApigeeService health checkConcept Spot VMsFeature GKEService

managed instance groupFeature

Cloud Load BalancingService Preemptible VMFeature regional external Application Load BalancerService Cloud CDNService Cloud LoggingService Cloud MonitoringService instance templateFeature instance flexibilityFeature managed instance groupsFeature autoscalerFeature autoscalingFeature

Points to what builds on itWorks with or alternative to

instance template works with managed instance group
managed instance group depends on instance template
health check configures managed instance group
instance flexibility is part of managed instance group
instance template configures managed instance group
managed instance group works with Spot VMs
autoscaler configures managed instance group
autoscaling is part of managed instance group
Cloud Load Balancing works with managed instance group
managed instance group is part of Compute Engine
managed instance group works with Preemptible VM
managed instance group works with regional external Application Load Balancer
Apigee works with managed instance group
autoscaler is part of managed instance group
autoscaler works with managed instance group
autoscaling works with managed instance group
Cloud CDN works with managed instance group
health check works with managed instance group
instance template is part of managed instance group
managed instance group is part of managed instance groups
Preemptible VM is an alternative to Spot VMs
Compute Engine is an alternative to GKE
managed instance groups is part of Compute Engine
managed instance groups depends on instance template
Cloud Load Balancing works with Cloud Service Mesh
Spot VMs is part of Compute Engine
autoscaling is part of managed instance groups
autoscaler is part of managed instance groups
Cloud CDN works with Cloud Load Balancing
Cloud Logging works with Compute Engine
Cloud Service Mesh works with Compute Engine
GKE depends on Compute Engine
instance template is part of Compute Engine
Apigee works with Compute Engine
autoscaler is part of Compute Engine
Cloud CDN works with Cloud Run
Cloud Load Balancing works with Cloud Monitoring
Cloud Monitoring works with Compute Engine
GKE works with health check
health check is part of Cloud Service Mesh
instance flexibility works with Spot VMs
Apigee works with Cloud CDN
Apigee works with Cloud Load Balancing
Apigee works with Cloud Logging
Apigee works with Cloud Monitoring
Apigee works with Cloud Run
Apigee depends on Cloud Service Mesh
autoscaling is part of Cloud Run
autoscaling is part of GKE
Cloud CDN works with Cloud Logging
Cloud CDN works with Cloud Monitoring
Cloud Load Balancing works with Cloud Logging
Cloud Load Balancing works with Cloud Run
Cloud Load Balancing is an alternative to Cloud Service Mesh
Cloud Load Balancing works with GKE
Cloud Load Balancing works with managed instance groups
Cloud Logging works with regional external Application Load Balancer
Cloud Monitoring works with regional external Application Load Balancer
Cloud Run works with Compute Engine
Cloud Run is an alternative to Compute Engine

How learners score on this topic

Last updated October 14, 2026

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