https://www.linkedin.com/pulse/google-cloud-certified-associate-engineer-study-guide-tt1gc
Chapter 1: Overview of Google Cloud Platform
- Introduction to GCP services: compute, storage, networking, and specialized services like machine learning products.
- Comparison between cloud computing and on-premise computing.
Types of Cloud Services :
Chapter 2: Google Cloud Computing Services
- Overview of infrastructure services: computing, storage, and networking.
- Introduction to identity management and related services.
- DevOps topics and tools for deploying and monitoring applications.
- Introduction to specialized services like machine learning.
- Explanation of Google Cloud’s organizational structure, regions, and zones.
- Discussion on Cloud Launcher for deploying packaged applications.
Chapter 3: Projects, Service Accounts, and Billing
- Organizing resources into organizations, folders, and projects.
- Enabling APIs for projects and managing user access controls.
- Creating billing accounts, linking them to projects, and managing costs with budgets and alerts.
- Setting up Stackdriver accounts for monitoring.
Chapter 4: Introduction to Computing in Google Cloud
- Overview of computing options: Compute Engine, App Engine, containers, Kubernetes Engine, Cloud Functions, and Firebase.
- Details on each computing option and their use cases.
Chapter 5: Computing with Compute Engine Virtual Machines
- Configuring VMs, selecting CPU, memory, and storage options.
- Using GCP Console, Cloud Shell, and command-line interface to work with VMs.
- Enabling network access to VMs.
Chapter 6: Managing Virtual Machines
- Managing single instances and groups of VMs.
- Overview of instance groups, managed vs. unmanaged, and preemptible instances.
- Guidelines for managing VMs effectively.
Chapter 7: Computing with Kubernetes
- Introduction to Kubernetes Engine.
- Basics of containers, container orchestration, and Kubernetes architecture.
- Deploying a Kubernetes cluster and applications.
- Monitoring a Kubernetes cluster with Stackdriver.
Chapter 8: Managing Kubernetes Clusters
- Viewing cluster status, managing nodes, pods, and services.
- Management operations using GCP Console, Cloud Shell, and SDK.
- Best practices for managing Kubernetes clusters.
Chapter 9: Computing with App Engine
- Overview of App Engine components and configuration.
- Traffic splitting and autoscaling in App Engine.
Chapter 10: Computing with Cloud Functions
- Introduction to Cloud Functions for event-driven serverless computations.
- Use cases and integration with Pub/Sub and Cloud Storage.
- Monitoring Cloud Function executions with Stackdriver.
Chapter 11: Planning Storage in the Cloud
- Characteristics of storage systems and cost-benefit trade-offs.
- Overview of GCP storage options and guidance for choosing a data store.
Chapter 12: Deploying Storage in Google Cloud Platform
- Creating databases in various GCP storage systems.
- Overview of Cloud Pub/Sub and Cloud Dataproc.
- Guidance on choosing a data store.
Chapter 13: Loading Data into Storage
- Methods for loading data into various GCP storage services.
- Common data loading patterns.
Chapter 14: Networking in the Cloud: Virtual Private Clouds and Virtual Private Networks
- Introduction to basic networking concepts.
- Creating and managing VPCs, VPNs, and load balancers.
Chapter 15: Networking in the Cloud: DNS, Load Balancing, and IP Addressing
- Network management tasks using Cloud Console, Cloud Shell, and Cloud SDK.
Chapter 16: Deploying Applications with Cloud Launcher and Deployment Manager
- Introduction to Cloud Launcher and Deployment Manager.
- Deploying applications and automating deployment with templates.
Chapter 17: Configuring Access and Security
- Identity management, roles, and service accounts.
- Viewing audit logs and guidelines for configuring access control security.
Chapter 18: Monitoring, Logging, and Cost Estimating
- Overview of Stackdriver services for monitoring, logging, and debugging.
- Using Pricing Calculator for estimating costs in GCP.
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