IntermediateExam Strategy 8 min read

How to Pass the Google Associate Cloud Engineer (ACE) Exam

Master the Google Cloud Platform and ace the ACE exam with these proven strategies.

The Google Associate Cloud Engineer (ACE) exam is the foundational certification for Google Cloud Platform (GCP) professionals. It validates your ability to deploy, monitor, and maintain projects on GCP. The exam consists of 50-60 multiple-choice and multiple-select questions, with a passing score of 70% (700 out of 1000). You have 2 hours to complete it. This guide provides a structured approach to studying, hands-on practice with real CLI commands, and insider tips to help you pass on your first attempt. We'll cover the key domains: setting up a cloud environment, planning and configuring VPCs, managing Compute Engine instances, Kubernetes clusters, and IAM policies.

1

Set Up Your GCP Free Tier and Practice Environment

Create a Google Cloud Platform free tier account to get $300 in credits for 90 days. Enable the Cloud Shell and install the gcloud CLI locally. Practice basic commands to manage projects, services, and billing. This hands-on experience is critical for the exam, which tests your ability to navigate the Console and use the CLI.

Bash / gcloud CLI
gcloud config set project [PROJECT_ID]
gcloud services list --available
gcloud projects describe [PROJECT_ID]
gcloud auth login

Use the 'gcloud cheat sheet' command to quickly reference common commands during practice.

Monitor your free tier credits to avoid unexpected charges. Set up billing alerts.

2

Master IAM and Resource Hierarchy

Understand the GCP resource hierarchy: Organization > Folders > Projects > Resources. Learn how to create custom IAM roles, bind policies, and use service accounts. The exam often tests least privilege principles and how to grant permissions at different levels.

Bash / gcloud CLI
gcloud iam roles create myCustomRole --project [PROJECT_ID] --title "My Custom Role" --permissions compute.instances.list,storage.buckets.get
gcloud projects add-iam-policy-binding [PROJECT_ID] --member user:example@example.com --role roles/compute.instanceAdmin.v1
gcloud iam service-accounts create my-sa --display-name "My Service Account"

Memorize the difference between primitive, predefined, and custom roles. This is a common exam trap.

3

Configure Virtual Private Clouds (VPCs) and Networking

Learn to create VPCs, subnets, firewall rules, and routes. Understand VPC peering, Cloud NAT, and Private Google Access. The exam includes scenarios about designing network topologies and controlling traffic flow.

Bash / gcloud CLI
gcloud compute networks create my-vpc --subnet-mode custom
gcloud compute networks subnets create my-subnet --network my-vpc --region us-central1 --range 10.0.1.0/24
gcloud compute firewall-rules create allow-ssh --network my-vpc --allow tcp:22 --source-ranges 0.0.0.0/0
gcloud compute networks vpc-peerings create --network my-vpc --peer-network other-vpc --auto-create-routes

Practice creating VPCs with both custom and auto mode subnets. Know when to use each.

4

Deploy and Manage Compute Engine Instances

Create, start, stop, and delete VM instances. Understand machine types, disks, snapshots, and instance templates. Learn about managed instance groups (MIGs) for autoscaling and load balancing. The exam tests your ability to choose the right instance type and configure health checks.

Bash / gcloud CLI
gcloud compute instances create my-vm --zone us-central1-a --machine-type e2-medium --image-family debian-11 --image-project debian-cloud --boot-disk-size 10GB
gcloud compute instance-templates create my-template --machine-type e2-small --image-family ubuntu-2204-lts --image-project ubuntu-os-cloud
gcloud compute instance-groups managed create my-mig --base-instance-name my-vm --template my-template --size 3 --zone us-central1-a

Know the difference between standard, preemptible, and spot VMs. Preemptible VMs are often tested for cost optimization.

5

Work with Google Kubernetes Engine (GKE)

Create and manage GKE clusters, deploy workloads using kubectl, and configure autoscaling. Understand node pools, pods, services, and ingress. The exam includes questions about cluster architecture and security (e.g., private clusters, Workload Identity).

Bash / kubectl
gcloud container clusters create my-cluster --num-nodes 3 --zone us-central1-a --machine-type e2-standard-2
gcloud container clusters get-credentials my-cluster --zone us-central1-a
kubectl create deployment nginx --image nginx:latest
kubectl expose deployment nginx --port 80 --type LoadBalancer
kubectl scale deployment nginx --replicas 5

Practice using kubectl commands without the gcloud wrapper. The exam expects you to know raw kubectl syntax.

6

Manage Storage: Cloud Storage and Persistent Disks

Learn to create buckets, set lifecycle policies, and manage object permissions. Understand persistent disks, snapshots, and regional vs. zonal storage. The exam tests your knowledge of storage classes (Standard, Nearline, Coldline, Archive) and data transfer services.

Bash / gsutil
gsutil mb gs://my-bucket-name
gsutil lifecycle set lifecycle.json gs://my-bucket-name
gsutil iam ch user:example@example.com:objectViewer gs://my-bucket-name
gcloud compute disks snapshot my-disk --zone us-central1-a --snapshot-names my-snapshot

Memorize the retrieval costs and minimum storage durations for each storage class. This is a frequent exam topic.

7

Monitor, Log, and Optimize Costs

Set up Cloud Monitoring alerts, log sinks, and dashboards. Understand how to use Cloud Logging to filter and export logs. Learn cost optimization techniques like rightsizing VMs, using committed use discounts, and deleting unused resources.

Bash / gcloud CLI
gcloud logging sinks create my-sink bigquery.googleapis.com/projects/[PROJECT_ID]/datasets/my_dataset --log-filter='severity>=ERROR'
gcloud monitoring channels create --display-name "Email Alert" --type email --channel-labels email_address=admin@example.com
gcloud monitoring policies create --policy-from-file policy.yaml

Know how to set up budget alerts and export billing data to BigQuery for analysis. This is a common scenario question.

Key tips

  • Focus on the official Google Cloud Skills Boost labs. They provide hands-on practice that directly maps to exam objectives.

  • Use the 'gcloud beta' commands to explore newer features, but stick to stable commands for the exam.

  • Create a study schedule that dedicates 2 hours daily for 4-6 weeks. Consistency beats cramming.

  • Join the Google Cloud Innovators community for free credits and access to study jams.

  • Take the official Google Cloud Practice Exam to identify weak areas before the real test.

  • Read each question carefully — the exam often includes 'select all that apply' questions with multiple correct answers.

Frequently asked questions

How many questions are on the Google ACE exam?

The exam contains 50-60 questions, a mix of multiple-choice and multiple-select. You have 2 hours to complete it. The passing score is 70% (700 out of 1000).

What is the cost of the Google ACE exam?

The exam costs $125 USD. You can also get a free retake if you purchase the exam through the Google Cloud Skills Boost platform during certain promotions.

Do I need coding experience to pass the ACE exam?

No, but you should be comfortable with basic command-line operations. The exam tests your ability to use gcloud, kubectl, and gsutil commands, but you don't need to write scripts from scratch.

How long should I study for the Google ACE exam?

Most candidates study for 4-6 weeks, dedicating 2-3 hours per day. If you have prior cloud experience, you may need less time. Hands-on practice is essential.

Is the Google ACE exam harder than the AWS Cloud Practitioner?

The ACE exam is more technical than the AWS Cloud Practitioner. It requires hands-on CLI knowledge and deeper understanding of GCP services, while AWS Cloud Practitioner is more conceptual.

Related glossary terms

Browse full glossary →

Practice with real exam questions

Apply what you just learned with exam-style practice questions.

Related guides