GCP Associate Cloud Engineer Course

A structured GCP Associate Cloud Engineer course covering core services, compute, storage, networking, security, and operations with linked practice questions.

Level: GCP Associate Cloud Engineer Difficulty: intermediate 5 lessons 60 min
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What you will learn

  • Understand the GCP Associate Cloud Engineer exam.
  • Choose the right compute service for workloads.
  • Select storage and database services.
  • Configure networking and security.
  • Monitor and operate Google Cloud resources.

Before you start

  • Basic cloud knowledge is helpful.
  • Familiarity with Linux and containers is recommended.
  • Hands-on experience with Google Cloud helps.

Lesson 1 Understanding the GCP Associate Cloud Engineer Exam

The GCP Associate Cloud Engineer exam tests practical skills for deploying and managing Google Cloud resources. It covers projects, IAM, compute, storage, databases, networking, security, and operations. You should know Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, BigQuery, VPC, Cloud Load Balancing, Cloud Monitoring, and Cloud Logging. The exam uses scenario-based questions about choosing the right service and following best practices. A good study path starts with core concepts, then compute, storage and databases, networking and security, and finally monitoring and strategy. This course follows the exam structure and links to a practice bank with 60 original questions.

Example

Example: Use Cloud Run to deploy a containerized app without managing servers.

Lesson 2 Compute Options

Google Cloud offers several compute options. Compute Engine provides virtual machines with machine types and persistent disks. Managed instance groups support autoscaling and health checks, and preemptible VMs are cheaper for fault-tolerant batch work. Cloud Functions runs serverless functions, Cloud Run runs containers without servers, GKE provides Kubernetes, and App Engine is a PaaS. Choose the right option based on control, portability, and operational overhead. For containers, Cloud Run is simpler than GKE unless you need advanced orchestration. For event-driven code, Cloud Functions is usually best. For full control, use Compute Engine. Scenario questions often ask which compute service fits a workload.

Example

Example: Use Cloud Functions for an event that runs when a file is uploaded to Cloud Storage.

Lesson 3 Storage and Databases

Cloud Storage is object storage with buckets and storage classes. Nearline, Coldline, and Archive reduce cost for infrequent data. Cloud SQL provides managed relational databases, Cloud Spanner scales globally with strong consistency, Firestore is a NoSQL document database, and BigQuery is a serverless data warehouse. Cloud Bigtable handles large NoSQL workloads, Cloud Filestore provides managed NFS, and persistent disks and snapshots support VMs. Choose the service that matches the data shape, consistency, and scale. Scenario questions often ask which database fits transactional, analytical, or document workloads.

Example

Example: Use BigQuery for analytics on large datasets.

Lesson 4 Networking and Security

Networking uses VPCs, subnets, firewall rules, load balancing, Cloud NAT, VPN, Interconnect, and Cloud DNS. A VPC isolates resources, subnets divide IP space, and firewall rules control traffic. Cloud Load Balancing distributes traffic globally, Cloud NAT provides outbound access without public IPs, and VPN and Interconnect connect on-premises networks. Security uses IAM roles, policies, service accounts, Cloud KMS, Cloud IAP, Cloud Armor, and VPC Service Controls. Grant least privilege and protect data with keys and perimeters. Scenario questions often ask how to connect networks or which security control fits a requirement.

Example

Example: Use IAM roles to grant a service account only the permissions it needs.

Lesson 5 Monitoring, Operations, and Strategy

Monitoring and operations use Cloud Monitoring, Cloud Logging, alerting policies, Cloud Trace, and Cloud Scheduler. Cloud Monitoring collects metrics, Cloud Logging stores logs, and alerting policies notify you when thresholds are crossed. Cloud Trace analyzes latency, and Cloud Scheduler runs cron jobs. Strategy questions ask you to choose cost-effective, reliable, and secure options. Read the scenario, identify the requirement, and prefer managed services when they fit. Understand projects, regions, zones, and billing so you can plan resource placement. Practice choosing the right service for compute, storage, networking, and monitoring in exam scenarios.

Example

Example: Set an alerting policy when CPU utilization exceeds 80%.