Deploying & Implementing Cloud Solutions

To answer the questions related to this domain, the examinees need to show that they know how to deploy and implement Compute Engine resources, Google Kubernetes Engine resources, App Engine resources, Cloud Run resources, and Cloud Functions resources. Moreover, they should have a good understanding of how to deploy and implement data solutions as well as networking resources. They also need to have the capacity to perform the deployment of a solution with the help of Cloud Marketplace. Additionally, their ability to perform the deployment of application infrastructure with the help of Cloud Deployment Manager is required.

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 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;
• 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 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;

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

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Below are the requirements of Associate Cloud Engineer Exam

There is no prerequisite for Oracle Associate Cloud Engineer certification.

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