Exam highlights

The Google Associate Cloud Engineer certification exam is 2 hours long and covers mostly two question formats, which are multiple choice and multiple select. The applicants can take the test as an online proctored option (remotely) or as an onsite proctored exam at one of the centers across the world. You can go through the official website for details of the test-taking process. To register for this exam, the individuals must pay the fee of $125. This fee applies to a single try. If you do not pass your Google exam at the first attempt, you have to try again and pay another fee for registration. The test is available in the English, Spanish, Japanese, and Indonesian languages.

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The Google ACE exam covers five broad topics. Each section has a list of components that the candidates must study and understand before attempting the certification test. The domains are the following:

Setting Up Cloud Solution Environments

Set up Cloud accounts and projects: the activities under this component include creating projects; assigning the specific users to predetermined IAM roles for a project; managing the users within Cloud Identity allowing APIs in projects; provisioning multiple Stackdriver workspaces;
Install and configure Cloud SDK CLI (Command Line Interface).
Manage billing configuration: this involves skills in creating multiple billing accounts; linking projects to a specific billing account; determining the billing budget and alerts; creating billing exports for daily/monthly estimated charges;

Reference: https://cloud.google.com/certification/cloud-engineer

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Training

While the exam curriculum covers a lot of knowledge and skills, Google offers enough tools to help candidates systematize their preparation process. Self-paced and in-classroom courses as well we lab practice are also available.

So, you can take advantage of Architecting with Google Compute Engine, a three-day course that will introduce you to Google Cloud infrastructure and platform services by focusing on Compute Engine.

Alternatively, candidates can pose their questions to an expert instructor regarding Google Сloud products at a one-day Google Cloud Fundamentals: Core Infrastructure training session that includes lectures, presentations, and lab activities.

In addition, Google recommends that all applicants who want to know more about the format, structure, and topics of the certification exam finish the Preparing for the Associate Cloud Engineer Examination course. It helps applicants to assess their strengths and weaknesses and be fully prepared on the day of the final test.

If you are not confident in your readiness, you can also check your skills by answering sample questions alongside doing self-paced labs offered by the vendor.

Exam Topics

The content of the Google Associate Cloud Engineer test includes five extensive topics, each covering a wide range of subtopics and skills that the applicants must develop mastery in. The detailed exam blueprint can be viewed on the official webpage. The highlights of the domains that constitute the certification exam syllabus are outlined below:

Topic 1. Setting Up the Cloud Solution Environment

Within this subject area, the candidates are required to demonstrate their proficiency in setting up Cloud accounts & projects. They should also be capable of managing billing configuration. Besides that, the examinees will be evaluated based on their capacity to install and configure the command-line interface (CLI), particularly Cloud SDK (for instance, setting the default project).

Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring Access and Security	15-20%	- Managing IAM resources 1. Applying IAM policies to resources 2. Creating and managing IAM roles 3. Defining custom IAM roles - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing service accounts 1. Creating and managing service accounts 2. Using service account keys 3. Assigning service accounts to resources
Ensuring Successful Operation	15-20%	- Managing Kubernetes Engine resources 1. Upgrading clusters 2. Scaling clusters and node pools 3. Managing workloads (Deployments, Services, HPA) - Managing Compute Engine resources 1. Managing instances, disks, and snapshots 2. Resizing instances and persistent disks 3. Attaching and detaching disks - Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Creating metrics and alerts 3. Viewing and analyzing logs - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits - Managing storage and data solutions 1. Managing Cloud Storage buckets and objects 2. Configuring CORS and encryption 3. Setting lifecycle policies
Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring compute resources 1. Selecting appropriate machine types and zones 2. Configuring persistent disks and local SSDs - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk
Deploying and Implementing a Cloud Solution	20-25%	- Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying and managing Compute Engine resources 1. Creating and managing custom machine types 2. Creating and managing instances with startup scripts 3. Creating and managing managed instance groups - Deploying and managing Kubernetes Engine resources 1. Creating and managing GKE clusters 2. Configuring kubectl for cluster access 3. Deploying workloads with Deployments and Services
Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Setting up budget alerts and notifications 2. Linking billing to projects 3. Creating billing accounts - Setting up cloud projects and accounts 1. Creating and managing projects 2. Assigning IAM roles to users and groups 3. Managing billing budgets and alerts