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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.

Prerequisites

The certification test has no formal prerequisites. However, hands-on experience with Google Cloud will be a benefit. The candidates are recommended to have at least 6 months of practical experience in the domain of the Google Associate Cloud Engineer exam. In addition, the applicants need to develop an in-depth understanding of the topics covered in the test.

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 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 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 data solutions: the applicants should be able to initialize data systems with Google products and load data;
• 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 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;
• 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;

Training

While the exam curriculum covers a lot of knowledge and skills, Google offers enough tools to help candidates systematize their preparation process. Self-paced and in-classroom courses as well we lab practice are also available.

So, you can take advantage of Architecting with Google Compute Engine, a three-day course that will introduce you to Google Cloud infrastructure and platform services by focusing on Compute Engine.

Alternatively, candidates can pose their questions to an expert instructor regarding Google Сloud products at a one-day Google Cloud Fundamentals: Core Infrastructure training session that includes lectures, presentations, and lab activities.

In addition, Google recommends that all applicants who want to know more about the format, structure, and topics of the certification exam finish the Preparing for the Associate Cloud Engineer Examination course. It helps applicants to assess their strengths and weaknesses and be fully prepared on the day of the final test.

If you are not confident in your readiness, you can also check your skills by answering sample questions alongside doing self-paced labs offered by the vendor.

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

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