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Preparation Process

The candidates for the Google Associate Cloud Engineer certification exam have a variety of preparation options to choose from. Everything that the applicants need to prepare for the qualifying test can be found on the official website. For starters, the learners are recommended to purchase the Official Google Cloud Certified Associate Cloud Engineer Study Guide published by Wiley to get a comprehensive understanding of the topics included in the exam syllabus. The official platform also offers such valuable training tools as sample questions, Cloud Engineer learning path, and webinars guided by the certified experts. Moreover, the individuals can sign up for the Preparing for the Associate Cloud Engineer Examination course to do a final check for the exam readiness. Lastly, they can take advantage of Google Cloud documentation, which contains a great collection of tutorials, guides, and other resources on Google Cloud products.

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

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The Google Associate Cloud Engineer exam targets software engineers who would like to dabble into the Google Cloud. So, you need to be capable of using the command-line interfaces and Google Cloud Console to handle core platform-based tasks. These mostly include monitoring operations and managing enterprise solutions to maintain deployed applications. In addition, after successful writing of the test, candidates obtain the appropriate Google Cloud certification.

Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Setting Up a Cloud Solution Environment	20-25%	- Setting up cloud projects and accounts 1. Managing billing budgets and alerts 2. Assigning IAM roles to users and groups 3. Creating and managing projects - Managing billing configuration 1. Creating billing accounts 2. Linking billing to projects 3. Setting up budget alerts and notifications
Topic 2: Configuring Access and Security	15-20%	- Managing service accounts 1. Assigning service accounts to resources 2. Using service account keys 3. Creating and managing service accounts - Managing IAM resources 1. Creating and managing IAM roles 2. Defining custom IAM roles 3. Applying IAM policies to resources - Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies
Topic 3: Ensuring Successful Operation	15-20%	- Managing Compute Engine resources 1. Managing instances, disks, and snapshots 2. Resizing instances and persistent disks 3. Attaching and detaching disks - Managing storage and data solutions 1. Setting lifecycle policies 2. Managing Cloud Storage buckets and objects 3. Configuring CORS and encryption - Managing Kubernetes Engine resources 1. Scaling clusters and node pools 2. Managing workloads (Deployments, Services, HPA) 3. Upgrading clusters - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing logging and monitoring 1. Creating metrics and alerts 2. Viewing and analyzing logs 3. Using Cloud Monitoring and Logging
Topic 4: 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 configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk - Planning and configuring compute resources 1. Selecting appropriate machine types and zones 2. Configuring persistent disks and local SSDs - Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator
Topic 5: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Kubernetes Engine resources 1. Configuring kubectl for cluster access 2. Deploying workloads with Deployments and Services 3. Creating and managing GKE clusters - 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 Cloud Run resources 1. Deploying containerized applications to Cloud Run 2. Configuring memory limits and scaling settings - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying applications with Cloud Deployment Manager 1. Creating deployment configurations 2. Using templates for resource provisioning