Prerequisites

The certification test has no formal prerequisites. However, hands-on experience with Google Cloud will be a benefit. The candidates are recommended to have at least 6 months of practical experience in the domain of the Google Associate Cloud Engineer exam. In addition, the applicants need to develop an in-depth understanding of the topics covered in the test.

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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.

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

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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

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;
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).

Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts 1. Enable APIs 2. Manage IAM roles and permissions 3. Create resource hierarchy 4. Manage quotas and limits 5. Manage users and groups 6. Apply organizational policies - Managing billing configuration 1. Set budgets and alerts 2. Create and manage billing accounts 3. Configure billing exports 4. Link projects to billing accounts
Topic 2: Planning and configuring a cloud solution	17.5%	- Planning and configuring storage resources 1. Plan data durability and availability 2. Select storage classes - Planning and configuring compute resources 1. Select compute options 2. Plan data storage solutions 3. Choose storage options 4. Plan instance configuration - Planning and configuring network resources 1. Choose load balancing options 2. Plan hybrid connectivity 3. Design VPC networks 4. Plan firewall rules
Topic 3: Configuring access and security	17.5%	- Managing data security 1. Manage access to data 2. Enable encryption - Configuring network security 1. Configure private access 2. Secure VPC networks 3. Manage security controls - Managing IAM 1. Implement least privilege access 2. Manage service accounts 3. Define roles and permissions
Topic 4: Deploying and implementing a cloud solution	25%	- Deploying and implementing Google Kubernetes Engine resources 1. Configure networking for GKE 2. Deploy workloads 3. Create and manage clusters - Deploying and implementing Compute Engine resources 1. Create managed instance groups 2. Launch virtual machines 3. Configure access and security 4. Manage images and snapshots - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases - Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services
Topic 5: Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Optimize resource usage 2. Analyze cost reports - Managing resources 1. Update configurations 2. Scale resources 3. Troubleshoot common issues - Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging