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Google Associate-Cloud-Engineer Certification Exam is an excellent way for professionals to demonstrate their skills and knowledge in deploying and managing applications on the GCP. Google Associate Cloud Engineer Exam certification provides individuals with the opportunity to enhance their cloud computing career and open up new opportunities for themselves in this field.
Reference: https://cloud.google.com/certification/cloud-engineer
Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Exam is a certification exam that is designed to test the individual's knowledge and skills in deploying and managing applications on the Google Cloud Platform (GCP). Associate-Cloud-Engineer exam is intended for professionals who are interested in pursuing a career in cloud computing, specifically in the GCP environment. Google Associate Cloud Engineer Exam certification is also ideal for those who want to validate their knowledge in this area and enhance their professional profile.
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. Creating and managing projects
- 2. Assigning IAM roles to users and groups
- 3. Managing billing budgets and alerts
- Managing billing configuration
- 1. Linking billing to projects
- 2. Setting up budget alerts and notifications
- 3. Creating billing accounts
|
| Topic 2: Ensuring Successful Operation | 15-20% | - Managing Cloud Run resources
- 1. Configuring resource limits
- 2. Managing revisions and traffic splitting
- Managing storage and data solutions
- 1. Setting lifecycle policies
- 2. Managing Cloud Storage buckets and objects
- 3. Configuring CORS and encryption
- Managing Compute Engine resources
- 1. Attaching and detaching disks
- 2. Managing instances, disks, and snapshots
- 3. Resizing instances and persistent disks
- Managing logging and monitoring
- 1. Creating metrics and alerts
- 2. Viewing and analyzing logs
- 3. Using Cloud Monitoring and Logging
- Managing Kubernetes Engine resources
- 1. Managing workloads (Deployments, Services, HPA)
- 2. Scaling clusters and node pools
- 3. Upgrading clusters
|
| Topic 3: Configuring Access and Security | 15-20% | - Viewing audit logs
- 1. Accessing and analyzing Cloud Audit Logs
- 2. Configuring audit log policies
- Managing IAM resources
- 1. Creating and managing IAM roles
- 2. Applying IAM policies to resources
- 3. Defining custom IAM roles
- Managing service accounts
- 1. Assigning service accounts to resources
- 2. Creating and managing service accounts
- 3. Using service account keys
|
| Topic 4: Planning and Configuring a Cloud Solution | 20-25% | - Planning and estimating GCP product usage
- 1. Using GCP Pricing Calculator
- 2. Reading documentation for compute, storage, and network resources
- Planning and configuring data storage options
- 1. Choosing between Cloud Storage, Filestore, Persistent Disk
- 2. Selecting appropriate storage classes
- Planning and configuring compute resources
- 1. Configuring persistent disks and local SSDs
- 2. Selecting appropriate machine types and zones
- Planning and configuring network resources
- 1. Designing VPC networks
- 2. Configuring load balancing and firewall rules
|
| Topic 5: Deploying and Implementing a Cloud Solution | 20-25% | - Deploying and managing Cloud Run resources
- 1. Configuring memory limits and scaling settings
- 2. Deploying containerized applications to Cloud Run
- Deploying applications with Cloud Deployment Manager
- 1. Using templates for resource provisioning
- 2. Creating deployment configurations
- Deploying and managing Kubernetes Engine resources
- 1. Configuring kubectl for cluster access
- 2. Creating and managing GKE clusters
- 3. Deploying workloads with Deployments and Services
- Deploying and managing Compute Engine resources
- 1. Creating and managing managed instance groups
- 2. Creating and managing instances with startup scripts
- 3. Creating and managing custom machine types
- Deploying and managing Cloud Functions
- 1. Configuring triggers and environment variables
- 2. Creating and triggering Cloud Functions
|