Associate Cloud Engineer — Google

Exam day

Know what Associate Cloud Engineer — Google asks on the day.

Question formats to expect:

• Single select (Radio)

  Select one option from a collection of options

• Multiple select (Checkbox)

  Select all options that apply from a collection of options

Curriculum

Inside the Associate Cloud Engineer — Google plan.

8 modules · 36 units · ~36h of structured prep.

1. 01

   Identity, Access, and Resource Governance

   5 units · ~5h

   Core IAM concepts including predefined and custom roles, service accounts, and organizational policy application — central to the exam's access and security domain.

   1. 1. IAM Fundamentals: Members, Roles, Policies
   2. 2. Creating and Managing Custom IAM Roles
   3. 3. Service Accounts and Key Management
   4. 4. OS Login and SSH Key Management
   5. 5. Organization Policies and Resource Hierarchy Governance
2. 02

   Networking: VPC, IP Addressing, and Connectivity

   5 units · ~5h

   Design and configure Virtual Private Cloud networks, subnets, IP addressing schemes, firewall rules, and hybrid connectivity options tested in the exam.

   1. 1. VPC Design and Subnet Configuration
   2. 2. CIDR Notation and IP Addressing
   3. 3. Static, Ephemeral, and Internal IP Addresses
   4. 4. Firewall Rules and Routes
   5. 5. Cloud NAT and Cloud VPN Basics
3. 03

   Compute Engine and Autoscaling Infrastructure

   5 units · ~5h

   Deploy and manage Compute Engine instances, managed instance groups, health checks, autoscaling, and autohealing for resilient, scalable compute workloads.

   1. 1. Compute Engine Instance Configuration
   2. 2. Managed Instance Groups (MIGs)
   3. 3. Health Checks and Autohealing
   4. 4. Autoscaling Configuration
   5. 5. Disks, Snapshots, and Instance Storage Options
4. 04

   Load Balancing Architectures

   4 units · ~4h

   Configure Google Cloud load balancing options — including HTTP(S), network, and internal load balancers — to distribute traffic and support scalable, resilient applications.

   1. 1. Load Balancer Types and Selection
   2. 2. HTTP(S) Load Balancer Configuration
   3. 3. Network Load Balancing
   4. 4. Health Checks in Load Balancing Context
5. 05

   Storage and Database Services

   5 units · ~5h

   Select and configure Cloud Storage, Cloud SQL, and Cloud Spanner based on workload requirements, including storage classes, backups, and point-in-time recovery.

   1. 1. Cloud Storage Buckets and Access Control
   2. 2. Cloud Storage Classes and Lifecycle Management
   3. 3. Cloud SQL Setup and Management
   4. 4. Relational Database Point-in-Time Recovery
   5. 5. Cloud Spanner and Database Selection Criteria
6. 06

   Containers and Application Platforms

   5 units · ~5h

   Deploy workloads using Google Kubernetes Engine, App Engine, Cloud Run, and Cloud Functions, matching platform choice to application requirements.

   1. 1. GKE Cluster Setup and Node Pools
   2. 2. kubectl CLI Fundamentals
   3. 3. App Engine Deployment and Scaling Configuration
   4. 4. Cloud Run and Cloud Functions
   5. 5. Artifact Registry for Container Images
7. 07

   Operations: Monitoring, Logging, and Disaster Recovery

   5 units · ~5h

   Ensure successful operation of deployed solutions through Cloud Monitoring, Cloud Logging, alerting policies, backup strategies, and disaster recovery planning.

   1. 1. Cloud Monitoring Dashboards and Metrics
   2. 2. Alerting Policies and Notification Channels
   3. 3. Cloud Logging and Log-Based Metrics
   4. 4. Backup Strategies and Disaster Recovery Planning
   5. 5. Troubleshooting Common Operational Issues
8. 08

   Configuration Management and Automation

   2 units · ~2h

   Apply configuration management tools and automation practices to consistently deploy and manage infrastructure at scale.

   1. 1. Infrastructure Automation with gcloud Scripting
   2. 2. Configuration Management Tools Overview