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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.

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Google Associate Cloud Engineer Exam

An associated cloud engineer distributes applications, monitors operations and manages business solutions. This person can use the Google Cloud Console and the command-line interface to perform common platform-based activities to maintain one or more distributed solutions that take advantage of services managed or self-managed by Google in Google Cloud

The Google Cloud Certification Program offers Google Cloud users, customers and partners a way to demonstrate their technical skills in a specific role or technology. People are evaluated using a variety of rigorously developed standard methods to determine if they meet Google Cloud competition standards. The cost of certification exams varies. if you do not pass an exam, you can repeat it after 14 days. If you do not take it a second time, you must wait 60 days before you can take it a third time. If it fails a third time, you must wait a year before resuming it. You can try the test in several languages, but each attempt, regardless of language, counts the total number of attempts allowed and the waiting period between attempts remains valid. Payment is required each time an exam is taken. Avoiding this recovery policy by registering with a different name or any other means constitutes a violation of the terms and conditions of the exam and will result in the denial or revocation of a certification. Exams are designed to determine only if a person meets a minimum standard of approval or not. They are not meant to be diagnostic or spread people on a capacity scale. For this reason, numerical scores are not significant for the candidate and can be misunderstood. Google Cloud Certification Program recognizes that some other exam providers provide section comments on their exams. Google doesn't do it because it makes no sense and could be misleading. Google Cloud Certification tests are not designed to diagnose strengths and weaknesses. Google Cloud Certification exam sections are very broad categories of topics, and the range of specific questions that can be received for each section in a single exam session is extremely small in comparison. Based on such a small amount of data, there are no significant comments at the section level that we can provide responsibly. We follow the procedures accepted by the industry to ensure that our exams are valid and accurate. Our exam development process includes the following steps: A task analysis (JTA) is a formal study that begins with the identification of role representatives, technology experts and stakeholders. These experts are interviewed and interviewed in a seminar to obtain information about what people do in a particular job or role and what skills distinguish the skills. These skills are defined in the exam guides that we write on the web. Our question authors are subject matter experts who worked in the certified role. The question editors are trained in the exam standards and conventions that we apply to our exams. All questions are examined to determine if they meet the standards and are technically accurate. Once the questions have passed all warnings and approvals, they are published in a beta test. The purpose of the beta exam is to collect performance statistics related to the exam questions to determine which ones are the most effective. We review the statistics and comments on the questions and eliminate questions that do not meet our standards. The minimum score for each exam is reserved. It is determined by a group of internal and external experts in the field, following a process of setting standards accepted by the sector. The minimum score applies equally to all candidates. It is reevaluated when changes are made to the content of the exam. The delivery method for an exam depends on its format.

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

Google Associate-Cloud-Engineer日本語 Exam Syllabus Topics:

SectionWeightObjectives
Setting Up a Cloud Solution Environment20-25%- Setting up cloud projects and accounts
  • 1. Creating and managing projects
  • 2. Assigning IAM roles to users and groups
  • 3. Managing billing budgets and alerts
- Managing billing configuration
  • 1. Linking billing to projects
  • 2. Setting up budget alerts and notifications
  • 3. Creating billing accounts
Configuring Access and Security15-20%- Managing IAM resources
  • 1. Defining custom IAM roles
  • 2. Applying IAM policies to resources
  • 3. Creating and managing IAM roles
- Viewing audit logs
  • 1. Accessing and analyzing Cloud Audit Logs
  • 2. Configuring audit log policies
- Managing service accounts
  • 1. Using service account keys
  • 2. Assigning service accounts to resources
  • 3. Creating and managing service accounts
Planning and Configuring a Cloud Solution20-25%- 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
- Planning and configuring data storage options
  • 1. Choosing between Cloud Storage, Filestore, Persistent Disk
  • 2. Selecting appropriate storage classes
- Planning and configuring compute resources
  • 1. Configuring persistent disks and local SSDs
  • 2. Selecting appropriate machine types and zones
Ensuring Successful Operation15-20%- Managing Kubernetes Engine resources
  • 1. Managing workloads (Deployments, Services, HPA)
  • 2. Upgrading clusters
  • 3. Scaling clusters and node pools
- Managing Compute Engine resources
  • 1. Managing instances, disks, and snapshots
  • 2. Resizing instances and persistent disks
  • 3. Attaching and detaching disks
- Managing storage and data solutions
  • 1. Setting lifecycle policies
  • 2. Configuring CORS and encryption
  • 3. Managing Cloud Storage buckets and objects
- Managing Cloud Run resources
  • 1. Managing revisions and traffic splitting
  • 2. Configuring resource limits
- Managing logging and monitoring
  • 1. Creating metrics and alerts
  • 2. Using Cloud Monitoring and Logging
  • 3. Viewing and analyzing logs
Deploying and Implementing a Cloud Solution20-25%- Deploying and managing Kubernetes Engine resources
  • 1. Configuring kubectl for cluster access
  • 2. Deploying workloads with Deployments and Services
  • 3. Creating and managing GKE clusters
- Deploying and managing Compute Engine resources
  • 1. Creating and managing managed instance groups
  • 2. Creating and managing custom machine types
  • 3. Creating and managing instances with startup scripts
- 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
- Deploying and managing Cloud Functions
  • 1. Configuring triggers and environment variables
  • 2. Creating and triggering Cloud Functions

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