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Ensuring Successful Functioning of Cloud Solutions
The aim of this section is to evaluate the expertise of the specialists in managing Compute Engine resources. Furthermore, the applicants are required to possess the skills in managing networking resources, Google Kubernetes Engine resources, Cloud Run & App Engine resources, storage & database solutions. They should also have a good comprehension of how to perform monitoring & logging.
Planning & Configuring Cloud Solutions
- Plan and configure data storage options with a focus on product choice and selecting storage options;
- 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 network resources, which include distinguishing load balancing alternatives, configuring the Cloud DNS, establishing resource locations within a network for its availability.
Reference: https://cloud.google.com/certification/cloud-engineer
Ensuring Operation Success of a Cloud Solution
- Manage database and storage solutions: this area requires your competence in setting object lifecycle management policies for Cloud Storage buckets; moving different objects between Cloud Storage buckets; estimating costs for BigQuery; executing queries for the retrieval of data from data instances. It also requires your capability to backup and restores data instances; review a job status in BigQuery, Cloud Dataflow, or Cloud Dataproc; work with management interfaces;
- Manage App Engine and Cloud Run resources: the individuals should be able to adjust application traffic splitting parameters; set scaling parameters for auto-scaling instances; work with management interfaces;
- Manage Google Kubernetes Engine resources: this requires one’s competence in viewing on-going running cluster inventory; browsing container image depository and viewing the details of container images; working with pods, node pools, services, stateful applications, and management interfaces;
- Manage Compute Engine resources: the test takers should demonstrate their capability to manage single VM instances; RDP/SSH to instance; attack GPU to new instances and install CUDA libraries; view on-going running virtual machine inventory; work with snapshots, images, management interfaces, and instance groups;
- Monitor and log: this subject includes the examinees’ ability to create Stackdriver custom metrics and Stackdriver alerts according to resource metrics; use Cloud diagnostics to analyze application issues; check and filter logs within Stackdriver; configure log sinks for the exportation of logs into external systems; view the status of Google Cloud Platform.
- Manage network resources: this part requires the capability to add subnets to existing VPCs; expand subnets to include more IP addresses; reserve static internal or external IP address; work with management interfaces;
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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
- 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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