How to Pass the GCP Associate Cloud Engineer Exam in 2 Weeks

Two weeks is tight, but it is enough to pass the Google Cloud Associate Cloud Engineer (ACE) exam if you already have some cloud experience and can dedicate 3-4 hours per day. This is not a plan for absolute beginners. You need at least a basic understanding of cloud concepts — compute, storage, networking, IAM — before starting this crash course.

If you want a deeper, more comprehensive guide, check out our full GCP Associate Cloud Engineer Study Guide. But if you are working on a deadline and need a focused plan, this is it.

Prerequisites

Before starting your 14-day plan, you should have:

• Basic understanding of cloud computing concepts (IaaS, PaaS, SaaS)
• Some experience with a command line interface
• A Google Cloud account with free trial credits ($300 for 90 days)
• StudyKits installed with GCP ACE practice questions loaded

If you lack these prerequisites, add one week of foundational study before starting this plan.

The Ground Rules

• Study 3-4 hours every day. No days off.
• Answer at least 50 practice questions per day in StudyKits starting from Day 5.
• Do hands-on labs in Cloud Shell or your local terminal with gcloud CLI. Reading documentation is not enough.
• Review every wrong answer immediately. Understand why the correct answer is correct.
• Focus on gcloud commands. The exam tests practical knowledge, and knowing the CLI demonstrates real experience.

Day-by-Day Plan

Day 1: GCP Fundamentals and IAM (3.5 hours)

Study (1.5 hours):

• GCP global infrastructure: regions, zones, multi-region
• Resource hierarchy: Organization, Folders, Projects, Resources
• Billing accounts and budgets
• IAM: roles (basic, predefined, custom), members, policies, service accounts

Hands-on (1.5 hours):

gcloud projects list
gcloud projects create my-test-project --name="Test Project"
gcloud config set project my-test-project

gcloud iam roles list --filter="name:roles/compute"
gcloud projects get-iam-policy my-test-project
gcloud projects add-iam-policy-binding my-test-project \
  --member="user:[email protected]" --role="roles/viewer"

gcloud iam service-accounts create my-sa --display-name="My SA"
gcloud iam service-accounts keys create key.json \
  [email protected]

Practice (30 min): 20 questions on IAM and project management in StudyKits.

Day 2: Compute Engine (3.5 hours)

Study (1 hour):

• Machine types: general-purpose, compute-optimized, memory-optimized, custom
• Images, snapshots, instance templates, managed instance groups (MIGs)
• Preemptible and spot VMs
• Startup scripts and metadata

Hands-on (2 hours):

gcloud compute instances create my-vm \
  --zone=us-central1-a --machine-type=e2-medium \
  --image-family=debian-12 --image-project=debian-cloud

gcloud compute instances list
gcloud compute ssh my-vm --zone=us-central1-a

gcloud compute instance-templates create my-template \
  --machine-type=e2-small --image-family=debian-12 \
  --image-project=debian-cloud

gcloud compute instance-groups managed create my-mig \
  --template=my-template --size=2 --zone=us-central1-a

gcloud compute instance-groups managed set-autoscaling my-mig \
  --zone=us-central1-a --max-num-replicas=5 --min-num-replicas=1 \
  --target-cpu-utilization=0.6

Practice (30 min): 25 questions on Compute Engine.

Day 3: GKE and Cloud Run (3.5 hours)

Study (1 hour):

• GKE: clusters, nodes, pods, services, deployments
• GKE Standard vs Autopilot
• Cloud Run: containerized serverless, concurrency, autoscaling
• Cloud Functions: event-driven, triggers, runtimes

Hands-on (2 hours):

gcloud container clusters create my-cluster \
  --zone=us-central1-a --num-nodes=2 --machine-type=e2-small

gcloud container clusters get-credentials my-cluster \
  --zone=us-central1-a

kubectl create deployment nginx --image=nginx
kubectl expose deployment nginx --port=80 --type=LoadBalancer
kubectl get services
kubectl scale deployment nginx --replicas=3

gcloud run deploy my-service --image=gcr.io/cloudrun/hello \
  --region=us-central1 --allow-unauthenticated

Practice (30 min): 25 questions on GKE and serverless.

Day 4: Networking (4 hours)

Study (1.5 hours):

• VPC: subnets, firewall rules, routes
• Shared VPC and VPC peering
• Load balancing: HTTP(S), TCP/UDP, internal, network
• Cloud NAT, Cloud DNS, Cloud CDN
• Cloud VPN, Cloud Interconnect

Hands-on (2 hours):

gcloud compute networks create my-vpc --subnet-mode=custom
gcloud compute networks subnets create my-subnet \
  --network=my-vpc --region=us-central1 --range=10.0.0.0/24

gcloud compute firewall-rules create allow-ssh \
  --network=my-vpc --allow=tcp:22 --source-ranges=0.0.0.0/0

gcloud compute firewall-rules create allow-http \
  --network=my-vpc --allow=tcp:80 --target-tags=web-server

gcloud compute addresses create my-ip --region=us-central1
gcloud compute forwarding-rules list

Practice (30 min): 30 questions on networking.

Day 5: Storage and Databases (3.5 hours)

Study (1 hour):

• Cloud Storage: buckets, objects, storage classes, lifecycle policies, ACLs vs IAM
• Cloud SQL: MySQL, PostgreSQL, SQL Server, HA, read replicas
• Cloud Spanner, Firestore, Bigtable, Memorystore — when to use each
• Persistent disks: standard, SSD, balanced

Hands-on (1.5 hours):

gcloud storage buckets create gs://my-unique-bucket-name \
  --location=us-central1

gcloud storage cp local-file.txt gs://my-unique-bucket-name/
gcloud storage ls gs://my-unique-bucket-name/

gcloud sql instances create my-db --database-version=POSTGRES_15 \
  --tier=db-f1-micro --region=us-central1

gcloud sql databases create mydb --instance=my-db

Practice (1 hour): 50 questions across all topics covered so far.

Day 6: Monitoring, Logging, and Operations (3 hours)

Study (1 hour):

• Cloud Monitoring: metrics, dashboards, alerting policies, uptime checks
• Cloud Logging: log sinks, log-based metrics, log routing
• Cloud Trace, Error Reporting, Cloud Profiler
• Cloud Debugger (deprecated — know this)

Hands-on (1 hour):

gcloud logging read "resource.type=gce_instance" --limit=10
gcloud logging sinks create my-sink \
  storage.googleapis.com/my-log-bucket --log-filter="severity>=ERROR"

gcloud monitoring channels list
gcloud monitoring policies list

Practice (1 hour): 50 questions across all topics.

Day 7: Deployment and Management Tools (3 hours)

Study (1 hour):

• Cloud Build: build steps, triggers, cloudbuild.yaml
• Artifact Registry and Container Registry
• Cloud Deployment Manager and Terraform basics
• Cloud Source Repositories
• gcloud config configurations for managing multiple projects

Hands-on (1 hour):

gcloud config configurations create dev-config
gcloud config set project dev-project
gcloud config set compute/zone us-central1-a

gcloud config configurations create prod-config
gcloud config set project prod-project
gcloud config set compute/zone us-east1-b

gcloud config configurations list
gcloud config configurations activate dev-config

gcloud builds submit --tag gcr.io/my-project/my-app .

Practice (1 hour): 50 questions. Focus on weak areas.

Day 8: Review and Gap Analysis (4 hours)

• Review StudyKits analytics to identify your weakest topics
• Re-study the two weakest areas in depth
• Re-do hands-on labs for services you scored lowest on
• 60 practice questions with a focus on weak areas

Day 9: Full Practice Exam 1 (3.5 hours)

• Take a full-length 50-question practice exam in StudyKits, timed to 2 hours
• Score yourself and review every incorrect answer
• For each wrong answer, write down the correct answer and why
• Study the underlying concepts for any topic where you scored below 70%

Day 10: Deep Review of Weak Areas (3.5 hours)

• Based on Practice Exam 1 results, deep dive into your two weakest domains
• Re-read documentation for services you got wrong
• Do additional hands-on practice with those services
• 60 practice questions focused on weak areas

Day 11: Full Practice Exam 2 (3.5 hours)

• Take another full-length practice exam
• Target improvement in areas that were weak on Practice Exam 1
• Review all incorrect answers
• If scoring above 80% consistently, you are on track

Day 12: gcloud CLI Command Review (3 hours)

• Review all gcloud commands you have used over the past 11 days
• Practice running commands from memory without looking at notes
• Focus on commands for: compute, container, sql, storage, iam, config
• Know the pattern: gcloud [GROUP] [SUBGROUP] [ACTION] [NAME] [FLAGS]
• 50 practice questions

Day 13: Final Practice Exam and Review (4 hours)

• Take a final full-length practice exam
• You should be scoring 80%+ consistently
• Review any remaining weak areas
• Light review of all major topics — do not cram new material
• 30 practice questions as a light warm-up

Day 14: Exam Day

• Light review in the morning (30 minutes maximum). Do not study new material.
• Review your notes on gcloud commands and service selection criteria
• Take the exam with confidence

Essential gcloud Commands to Memorize

These commands appear frequently on the exam:

# Project and config
gcloud config set project PROJECT_ID
gcloud config list
gcloud config configurations activate CONFIG_NAME

# Compute
gcloud compute instances create/delete/list/describe
gcloud compute instance-groups managed create/set-autoscaling
gcloud compute firewall-rules create/list
gcloud compute networks create/subnets create

# GKE
gcloud container clusters create/get-credentials/delete
kubectl create deployment/expose/scale/get

# Storage
gcloud storage buckets create/ls
gcloud storage cp/mv/rm

# SQL
gcloud sql instances create/list
gcloud sql databases create

# IAM
gcloud iam service-accounts create
gcloud projects add-iam-policy-binding
gcloud iam roles create

When Two Weeks Is Not Enough

If you are consistently scoring below 70% on practice exams by Day 11, consider pushing your exam date back by one week. It is better to spend an extra week preparing than to fail and have to wait, pay again, and re-study.

Signs you need more time:

• You cannot explain the difference between VPC peering and Shared VPC
• You confuse Cloud SQL, Spanner, Firestore, and Bigtable use cases
• You struggle with gcloud command syntax
• Networking concepts (subnets, firewall rules, load balancing) feel unclear

Start Your 14-Day Sprint

The GCP Associate Cloud Engineer is achievable in two weeks with focused effort. Download StudyKits, start on Day 1, and commit to the schedule. Every day builds on the previous one, and by Day 14, you will walk into the exam with confidence.