Deploying & Implementing Cloud Solutions

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 an application infrastructure with Cloud Deployment Manager with a focus on the development and launch of Deployment Manager templates.
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 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 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;

Exam Topics

As mentioned above, applicants for the title of Google Cloud certified must have practical experience with on-premises solutions and public clouds. Thus, on the official test they should be able to demonstrate skills on the following exam topics:

configuring access and security, including service accounts and audit logs.
planning and configuration of a cloud solution, including compute resources, data storage options, and network resources;
setting up a cloud solution environment, which includes managing billing configuration and CLI installation;
deploying and implementing cloud solutions such as Cloud Run, App Engine, and Cloud Functions;
ensuring the successful operation of a cloud solution by Compute Engine resources management;

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

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The Google Associate Cloud Engineer certification exam is 2 hours long and covers mostly two question formats, which are multiple choice and multiple select. The applicants can take the test as an online proctored option (remotely) or as an onsite proctored exam at one of the centers across the world. You can go through the official website for details of the test-taking process. To register for this exam, the individuals must pay the fee of $125. This fee applies to a single try. If you do not pass your Google exam at the first attempt, you have to try again and pay another fee for registration. The test is available in the English, Spanish, Japanese, and Indonesian languages.

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Ensuring Successful Operation	15-20%	- Managing storage and data solutions 1. Configuring CORS and encryption 2. Setting lifecycle policies 3. Managing Cloud Storage buckets and objects - Managing Kubernetes Engine resources 1. Managing workloads (Deployments, Services, HPA) 2. Upgrading clusters 3. Scaling clusters and node pools - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing logging and monitoring 1. Creating metrics and alerts 2. Using Cloud Monitoring and Logging 3. Viewing and analyzing logs - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Attaching and detaching disks 3. Managing instances, disks, and snapshots
Configuring Access and Security	15-20%	- Managing IAM resources 1. Defining custom IAM roles 2. Applying IAM policies to resources 3. Creating and managing IAM roles - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing service accounts 1. Creating and managing service accounts 2. Using service account keys 3. Assigning service accounts to resources
Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Kubernetes Engine resources 1. Configuring kubectl for cluster access 2. Creating and managing GKE clusters 3. Deploying workloads with Deployments and Services - Deploying and managing Compute Engine resources 1. Creating and managing custom machine types 2. Creating and managing instances with startup scripts 3. Creating and managing managed instance groups - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations
Setting Up a Cloud Solution Environment	20-25%	- Setting up cloud projects and accounts 1. Creating and managing projects 2. Managing billing budgets and alerts 3. Assigning IAM roles to users and groups - Managing billing configuration 1. Setting up budget alerts and notifications 2. Linking billing to projects 3. Creating billing accounts
Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk - Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator