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Deploying & Implementing Cloud Solutions

• Deploy an application infrastructure with Cloud Deployment Manager with a focus on the development and launch of Deployment Manager templates.
• Deploy and implement data solutions: the applicants should be able to initialize data systems with Google products and load data;
• Deploy and implement compute engine resources: the skills required for this area include launching compute instances with Cloud SDK and Cloud Console; creating auto-scaled managed instance groups with instance templates; uploading/generating custom SSH keys for instances; configuring virtual machines or Stackdriver logging and monitoring. It also requires that the students can assess compute quotas and request for increases; install a Stackdriver Agent for logging and monitoring;
• Deploy and implement Google Kubernetes Engine Resources: this domain includes skills in deploying Google Kubernetes Engine cluster, container application to Google Kubernetes Engine with pods, and configuring Google Kubernetes Engine Application logging and monitoring;
• Deploy and implement App Engine, Cloud Functions, and Cloud Run resources: the learners will be required to demonstrate their skills in the deployment of applications, traffic splitting, updating scaling configuration, as well as deployment of applications that accept Google Cloud events;
• Deploy solutions with Cloud Marketplace: the candidates must demonstrate the ability to browse the Cloud Marketplace catalog to check solution details; deploy Cloud Marketplace solutions;
• Deploy and implement networking resources: this will measure your ability to launch Compute Engine instances using custom network configuration; create egress and ingress firewall rule or VPC; create VPNs between the external network and Google VPC with Cloud VPN; create the load balancer to allocate the application network traffic for apps;

Planning & Configuring Cloud Solutions

• Plan and configure network resources, which include distinguishing load balancing alternatives, configuring the Cloud DNS, establishing resource locations within a network for its availability.
• Plan and estimate the GCP product use with Pricing Calculator;
• Plan and configure compute resources with specific skills in choosing the relevant compute choices for a specific workload as well as utilizing preemptible virtual machines and custom machine types as relevant;
• Plan and configure data storage options with a focus on product choice and selecting storage options;

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

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

• Install and configure Cloud SDK CLI (Command Line Interface).
• 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;
• 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;

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