GCP Associate Cloud Engineer Study Guide

Google Cloud Associate Cloud Engineer Study Guide

GCP Associate Cloud Engineer Prep.

Preparing for the GCP Associate Cloud Engineer exam? Don’t know where to start? This post is the GCP Associate Cloud Engineer Certification Study Guide (with links to each objective in the exam domain).

I have curated a detailed list of articles from the Google documentation and other blogs for each objective of the Google Cloud Platform Associate Cloud Engineer exam. Please share the post within your circles so it helps them to prepare for the exam.

GCP Associate Cloud Engineer Course Materials

Coursera (Professional Cert.)Google Cloud Engineer certification
PluralsightCertified Associate cloud engineer
UdemyGCP Associate cloud engineer cert.

GCP Associate Cloud Engineer Practice Test

Whizlabs Exam QuestionsGCP ACE Practice Test (185 Qs) & Course
Udemy Practice TestsGoogle Associate Cloud Engineer Tests

GCP Associate Cloud Engineer Other Materials

Skylines AcademyGCP Certification: Associate Cloud Engineer
Amazon e-book (PDF)Official Associate Cloud Engineer Study Guide

Check out all the other GCP certificate study guides

Full Disclosure: Some of the links in this post are affiliate links. I receive a commission when you purchase through them.

Section 1. Setting up a cloud solution environment

1.1 Setting up cloud projects and accounts. Activities include:

Creating a resource hierarchy

Resource hierarchy

Using resource hierarchy for access control

Applying organizational policies to the resource hierarchy

Creating and managing organizational policies

Understanding hierarchy evaluation

Introduction to the Organization Policy Service

Granting members IAM roles within a project

Manage access to projects, folders, and organizations

Managing access to other resources

Managing users and groups in Cloud Identity (manually and automated)

What is Cloud Identity?

Groups API overview

Overview of Cloud Identity

Enabling APIs within projects

Enabling an API in your Google Cloud project

Provisioning and setting up products in Google Cloud’s operations suite

Google Cloud’s operations suite

Cloud Operations Suite in a minute

1.2 Managing billing configuration. Activities include:

Creating one or more billing accounts

Create, modify, or close your cloud billing account

Creating a billing account

Linking projects to a billing account

View projects linked to Cloud Billing accounts

Enable, disable, or change billing for a project

Establishing billing budgets and alerts

Create, edit, or delete budgets and budget alerts

Setting up billing exports

Set up cloud billing data export to BigQuery

Export Cloud billing data to BigQuery

1.3 Installing and configuring the command-line interface (CLI), specifically the Cloud SDK (e.g., setting the default project)

Installing Cloud SDK

Getting started with Cloud SDK

Setting default project

GCP Associate Cloud Engineer

Amazon link (affiliate)

Section 2. Planning and configuring a cloud solution

2.1 Planning and estimating Google Cloud product use using the Pricing Calculator

Google Cloud pricing calculator

Estimate and compare costs

2.2 Planning and configuring compute resources. Considerations include:

Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions)

Choosing the right Compute option in GCP

Cloud Run vs App Engine: A head-to-head comparison

Using preemptible VMs and custom machine types as appropriate

Preemptible VM instances

Custom machine types

Creating a custom VM instance

2.3 Planning and configuring data storage options. Considerations include:

Product choice (e.g., Cloud SQL, BigQuery, Firestore, Cloud Spanner, Cloud Bigtable)

Storage options in Google Cloud Platform

Bigtable vs. BigQuery: What’s the difference?

Your Google Cloud database options explained

Choosing storage options (e.g., Zonal persistent disk, Regional balanced persistent disk, Standard, Nearline, Coldline, Archive)

Your Google Cloud database options explained

2.4 Planning and configuring network resources. Tasks include:

Differentiating load balancing options

Cloud Load Balancing overview

Choosing a load balancer

Identifying resource locations in a network for availability

What “Identifying resource locations in a network for availability” refers to?

Resource locations supported services

Configuring Cloud DNS

Set up a domain using Cloud DNS

Cloud DNS Quickstart

Section 3. Deploying and implementing a cloud solution

3.1 Deploying and implementing Compute Engine resources. Tasks include:

Launching a compute instance using Cloud Console and Cloud SDK (GCloud) (e.g., assign disks, availability policy, SSH keys)

Creating and starting a VM instance

GCloud compute instances start

Creating an autoscaled managed instance group using an instance template

Creating managed instance groups

Autoscaling groups of instances

Instance templates

Generating/uploading a custom SSH key for instances

SSH with security keys

Adding SSH key for Google Cloud Console

Installing and configuring the Cloud Monitoring and Logging Agent

Installing the Cloud Logging agent on individual VMs

Install the Cloud Monitoring agent on individual VMs

Assessing compute quotas and requesting increases

Resource quotas

Working with quotas

Requesting a higher quota limit

3.2 Deploying and implementing Google Kubernetes Engine resources. Tasks include:

Installing and configuring the command-line interface (CLI) for Kubernetes (Kubectl)

Configure cluster access for Kubectl

Gcloud kubectl install

Kubernetes Engine: kubectl config

Deploying a Google Kubernetes Engine cluster with different configurations including AutoPilot, regional clusters, private clusters, etc.

Autopilot overview in Kubernetes Engine

Creating an Autopilot cluster

Create a regional cluster

Creating a private cluster

Deploying a containerized application to Google Kubernetes Engine

Deploying a containerized web app

Deploy a containerized app in Google GKE

Configuring Google Kubernetes Engine monitoring and logging

Monitor Kubernetes clusters on GKE

Learn about logging on Google Kubernetes Engine

3.3 Deploying and implementing Cloud Run and Cloud Functions resources. Tasks include, where applicable:

Deploying an application and updating scaling configuration, versions, and traffic splitting

About container instance autoscaling

Managing Revisions

Splitting traffic

Deploying an application that receives Google Cloud events (e.g., Pub/Sub events, Cloud Storage object change notification events)

Events and triggers

Receive events using Cloud audit logs

Google Cloud Pub/Sub triggers

Object change notification

Pub/Sub notifications for cloud storage

3.4 Deploying and implementing data solutions. Tasks include:

Initializing data systems with products (e.g., Cloud SQL, Firestore, BigQuery, Cloud Spanner, Pub/Sub, Cloud Bigtable, Dataproc, Dataflow, Cloud Storage)

Initializing data systems with products (Cloud SQL)

Initialize data systems with products (Cloud Spanner)

Initializing data systems with products (Bigtable)

Initialize data systems with products (BigQuery)

Initializing data systems with products (Dataflow)

Initialize data systems with products (Cloud Storage)

Loading data (e.g., command-line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Pub/Sub)

Upload objects in Cloud Storage

Storage Transfer API

Exporting and importing entities

Loading CSV data from Cloud Storage

Streaming with Pub/Sub

3.5 Deploying and implementing networking resources. Tasks include:

Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)

Using VPC networks

Creating a custom mode network

Provisioning shared VPC

Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)

Primary internal IP addresses

Private Google access

Static external IP addresses

Reserving a static internal IP address

Configuring network tags

Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, network tags, service accounts)

VPC firewall rules overview

Filtering by service account vs. network tag

Routes and firewall rules

Creating a VPN between a Google VPC and an external network using Cloud VPN

Cloud VPN overview

Build HA VPN connection between Google Cloud & AWS

Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)

Set up a global external HTTP(S) load balancer

SSL Proxy Load Balancing

TCP Proxy Load Balancing

Setting up a regional external HTTP(S) load balancer

Setting up TCP Proxy Load Balancing

3.6 Deploying a solution using Cloud Marketplace. Tasks include:

Browsing the Cloud Marketplace catalog and viewing solution details

What is Google Cloud Marketplace?

Google Cloud Marketplace Solutions

Deploying a Cloud Marketplace solution

Creating Deployments with Google Cloud Marketplace

Deploying an app from Cloud Marketplace

3.7 Implementing resources via infrastructure as code. Tasks include:

Building infrastructure via Cloud Foundation Toolkit templates and implementing best practices

Templates from the Cloud Foundation Toolkit

Cloud Foundation Toolkit

Cloud Foundation toolkit provides GCP best practices as code

Installing and configuring Config Connector in Google Kubernetes Engine to create, update, delete, and secure resources

Config Connector overview

Installing with the GKE add-on

Managing and deleting resources

Section 4. Ensuring successful operation of a cloud solution

4.1 Managing Compute Engine resources. Tasks include:

Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)

Stopping and starting a VM

Changing the machine type of a VM instance

Deleting an instance

Remotely connecting to the instance

Connecting to Windows VMs

Connect to Linux VMs

Attaching a GPU to a new instance and installing necessary dependencies

Creating VMs with attached GPUs

Adding or removing GPUs

Installing Python dependencies

Specifying dependencies

Viewing current running VM inventory (instance IDs, details)

Viewing operating system details

Getting instance information

Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)

Working with persistent disk snapshots

Method: Snapshots.delete

Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)

Creating a machine image from a VM

Creating, deleting, and deprecating custom images

Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)

Instance groups

Gcloud compute instance groups

Creating instance templates

Delete an instance group from Google Cloud Compute

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Cloud Console

Cloud Shell

Quickstart: Getting started with Cloud SDK

4.2 Managing Google Kubernetes Engine resources. Tasks include:

Viewing current running cluster inventory (nodes, pods, services)

Observing your GKE clusters

GKE dashboards

Browsing Docker images and viewing their details in the Artifact Registry

Artifact Registry: A way to keep your Docker images on GCP

Pushing and pulling images

Working with node pools (e.g., add, edit, or remove a node pool)

Node pools

Add a node pool

Resize a node pool

Delete a node pool

Working with pods (e.g., add, edit, or remove pods)

Creating Pods

Pod termination

Working with services (e.g., add, edit, or remove a service)

Exposing applications using services

Working with stateful applications (e.g. persistent volumes, stateful sets)

Deploying a stateful application

Persistent volumes

StatefulSet

Managing Horizontal and Vertical autoscaling configurations

Horizontal Pod autoscaling

Configuring horizontal Pod autoscaling

Vertical Pod autoscaling

Configuring vertical Pod autoscaling

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK, Kubectl)

Overview of kubectl

Building a GKE with Cloud SDK

Cloud Shell

4.3 Managing Cloud Run resources. Tasks include:

Adjusting application traffic-splitting parameters

Splitting traffic

Setting scaling parameters for autoscaling instances

About container instance autoscaling

Set a maximum number of container instances

Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos

Choose between Cloud Run and Cloud Run for Anthos

4.4 Managing storage and database solutions. Tasks include:

Managing and securing objects in and between Cloud Storage buckets

Overview of access control

Setting object life cycle management policies for Cloud Storage buckets

Object lifecycle management

Managing object lifecycles

Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Datastore, Cloud Bigtable)

Quickstart for Cloud SQL for MySQL

How to query your data in BigQuery?

Datastore queries

Querying Cloud Bigtable data

Estimating costs of data storage resources

Estimate storage and query costs

Backing up and restoring database instances (e.g., Cloud SQL, Datastore)

Overview of backups

Create & manage on-demand and automatic backups

Restoring an instance

Reviewing job status in Dataproc, Dataflow, or BigQuery

Life of a Dataproc job

Use the Dataflow monitoring interface

Managing jobs

4.5 Managing networking resources. Tasks include:

Adding a subnet to an existing VPC

Adding subnets

Expanding a subnet to have more IP addresses

Subnets expand IP range

Reserving static external or internal IP addresses

Reserve a static external IP address

Reserving a static internal IP address

Working with CloudDNS, CloudNAT, Load Balancers and firewall rules

Cloud DNS overview

Cloud NAT overview

Cloud Load Balancing overview

Using firewall rules

4.6 Monitoring and logging. Tasks include:

Creating Cloud Monitoring alerts based on resource metrics

Managing metric-based alerting policies

Creating and ingesting Cloud Monitoring custom metrics (e.g., from applications or logs)

Creating custom metrics

Using custom metrics

Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)

Configure and manage sinks

Export logs from Google Cloud Logging to BigQuery

Configuring log routers

Log Router

Viewing and filtering logs in Cloud Logging

Logging and viewing logs

Log exclusion filters

Viewing specific log message details in Cloud Logging

Viewing logs in the Legacy Logs Viewer

Using the logs explorer

Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time)

Viewing trace details

Debug Log points

Viewing Google Cloud status

Google Cloud status dashboard

Incidents & the Google Cloud status dashboard

Section 5. Configuring access and security

5.1 Managing Identity and Access Management (IAM). Tasks include:

Viewing IAM policies

Understanding policies

Creating IAM policies

IAM policy

Managing the various role types and defining custom IAM roles (e.g., primitive, predefined, and custom)

Understanding roles

Creating and managing custom roles

5.2 Managing service accounts. Tasks include:

Creating service accounts

Creating and managing service accounts

Using service accounts in IAM policies with minimum permissions

Service account permissions

Assigning service accounts to resources

Enabling a service account

Managing IAM of a service account

Service accounts

Managing service account impersonation

Manage service account impersonation

Creating and managing short-lived service account credentials

Create short-lived service account credentials

5.3 Viewing audit logs

Cloud Audit Logs overview

Cloud Audit Logs in Google Cloud

Fundamentals of Cloud Logging

This brings us to the end of the GCP Associate Cloud Engineer Study Guide.

What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!

In case you are preparing for other GCP certification exams, check out the GCP study guide for those exams.

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