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Google Cloud Exams
GCP
Professional Cloud Architect
Topics
Cloud Monitoring

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
Free Trial
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Intermediate

Prepare and test your skills

Description
Sample Question
Free Trial
Practice Test

Google Cloud service

Cloud Monitoring

Topic in 23 exam domains

Also called: Cloud Monitoring Alerting, Google Cloud Monitoring, Monitoring, Monitoring service, monitoringService, monitoring_config, Stackdriver Monitoring, Stackdriver Monitoring API

Google Cloud's observability platform for gathering metrics and dashboards.

Where this appears on the exam

23 objectives in 5 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
  - Configuration for data transfer and latency
  - Data growth planning
2. 2.3Configuring compute systems
  - Container orchestration
  - Serverless computing
Domain 3
Designing for security and compliance
~17.5% of exam
1. 3.1Designing for security
  - Securing AI (e.g., Model Armor, Sensitive Data Protection, and secure model deployment)
2. 3.2Designing for compliance
  - Audits (including logs)
Domain 4
Analyzing and optimizing technical and business processes
~15% of exam
1. 4.1Analyzing and defining technical processes
  - Troubleshooting/root cause analysis best practices
  - Testing and validation of software and infrastructure
2. 4.2Analyzing and defining business processes
Domain 6
Ensuring solution and operations excellence
~12.5% of exam
1. 6.2Familiarity with Google Cloud Observability solutions
  - Profiling and benchmarking
  - Alerting strategies

Related topics

Application Default CredentialsFeature Identity and Access ManagementService Cloud StorageService BigQueryService DataflowService Compute EngineService

Cloud MonitoringService

SpannerService Cloud KMSService Cloud SQLService Managed Service for Apache AirflowService Cloud LoggingService Cloud RunService GKEService alerting policyConcept PromQLConcept Cloud Service MeshService alerting policiesFeature Managed Service for PrometheusService

Points to what builds on itWorks with or alternative to

BigQuery works with Cloud Monitoring
alerting policy is part of Cloud Monitoring
Cloud Monitoring depends on Application Default Credentials
Cloud Monitoring works with Cloud Service Mesh
Cloud Monitoring works with Cloud SQL
Cloud Monitoring works with GKE
Cloud Monitoring works with Managed Service for Apache Airflow
Cloud Monitoring works with Dataflow
Cloud Monitoring works with Spanner
Cloud Monitoring works with PromQL
alerting policies is part of Cloud Monitoring
Application Default Credentials secures Cloud Monitoring
Cloud Logging works with Cloud Monitoring
Cloud Monitoring works with Cloud Run
Cloud Monitoring works with Compute Engine
Cloud Service Mesh depends on Cloud Monitoring
PromQL is part of Cloud Monitoring
alerting policies works with Cloud Monitoring
alerting policies configures Cloud Monitoring
alerting policy configures Cloud Monitoring
Application Default Credentials works with Cloud Monitoring
Cloud KMS works with Cloud Monitoring
Cloud Logging is an alternative to Cloud Monitoring
Cloud Monitoring depends on Identity and Access Management
Cloud Monitoring depends on Managed Service for Prometheus
Cloud Monitoring works with Managed Service for Prometheus
Managed Service for Prometheus is part of Cloud Monitoring
Managed Service for Prometheus depends on Cloud Monitoring
Application Default Credentials works with Cloud Storage
Application Default Credentials secures BigQuery
BigQuery depends on Application Default Credentials
Dataflow depends on Application Default Credentials
BigQuery is an alternative to Cloud Storage
BigQuery works with Cloud Logging
BigQuery works with Cloud Storage
Application Default Credentials works with BigQuery
BigQuery works with Dataflow
BigQuery works with Cloud SQL
Cloud Run works with Cloud SQL
Application Default Credentials works with Dataflow
Application Default Credentials works with Compute Engine
Application Default Credentials secures Cloud Storage
Application Default Credentials secures Spanner
Cloud Storage depends on Application Default Credentials
Application Default Credentials works with Spanner
Cloud SQL works with Cloud Storage
Spanner depends on Application Default Credentials
Cloud SQL works with Compute Engine
Identity and Access Management secures Cloud Service Mesh
Application Default Credentials works with Cloud KMS
Application Default Credentials secures Compute Engine
Cloud KMS depends on Application Default Credentials
Cloud Logging works with GKE
Compute Engine is an alternative to GKE
BigQuery works with Spanner
Cloud Logging works with Cloud Service Mesh
Cloud Run works with Cloud Service Mesh
Cloud SQL works with Identity and Access Management
Cloud Storage works with Dataflow
Dataflow works with Managed Service for Apache Airflow

How learners score on this topic

Last updated October 14, 2026

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