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Google Associate-Cloud-Engineer-JPN: Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer日本語版)

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How to prepare for Associate Cloud Engineer JPN Certification Exam

Preparation Guide Associate for Cloud Engineer JPN Certification Exam

Introduction for Associate Cloud Engineer JPN Certification Exam

An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.

Google Cloud Certification specifically tests your ability to understand GCP technology and apply what you know to meet business needs. Google has many different certifications including the Associate Cloud Engineer Certification. Most of Google's certifications are created as a support various Cloud technical job roles. This certification, however, has a slightly different focus. It focuses on demonstrating knowledge and skills that are helpful for all job roles. That means that ACE is a powerful certification on its own. It's also a very effective starting point towards attaining other types of certification. Business computing in the Cloud is still in its early stages and is expected to grow tremendously over the next few years. The demand for IT professionals who understand Cloud computing will certainly continue to keep pace.

In fact, a lack of skill Cloud engineers in the job marketplace is already being cited as a major challenge. The demand for Cloud engineers is already strong and is expected to keep growing. Associate-level Cloud engineering ACE certification is a job and a task-based certification based on Google Cloud Platform technology. This means it measures the test-takers' ability both to recall technical information and apply it. ACE certification test knowledge of Google Cloud Platform's fundamental concepts. This means it's a good starting point for those new to Cloud or new to GCP and can also be used as a first step towards any of the professional level certifications.

In this advanced age, getting an excellent Google certification exam has become more necessary for Google specialists. If we examine the world of IT credentials, we will find many certified exams, but the truth is that Google Associate Cloud Engineer JPN certification is above all the credentials available in the IT profession. The Google certification is one of the best ways to increase value in the IT world. You want to know why? The Associate Cloud Engineer exam module was recently presented by Google and has attracted the attention of many Google ACE professionals and aspiring people who wish to increase their credibility in the market.

Information about Google Associate Cloud Engineer JPN Exam

With the growing usage of cloud, Google’s Cloud Associate Engineer (ACE) certification offers a great way of demonstrating your aptitude with cloud engineering and cloud development. An ACE certified individual has experience working with public clouds and on-premises solutions. They are able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.

Skills discussed in the test are:

  • Setting up a cloud solution environment
  • Planning and configuring a cloud solution
  • Deploying and implementing a cloud solution
  • Ensuring successful operation of a cloud solution
  • Configuring access and security

These are also discussed below.

Understanding functional and technical features of Setting up a cloud solution environment

These skills are asked for:

  • Setting up cloud projects and accounts
  • Creating projects
  • Assigning users to predefined IAM roles within a project
  • Managing users in Cloud Identity (manually and automated)
  • Enabling APIs within projects
  • Provisioning one or more Stackdriver workspaces
  • Creating one or more billing accounts
  • Linking projects to a billing account
  • Establishing billing budgets and alerts
  • Setting up billing exports to estimate daily/monthly charges
  • Managing billing configuration
  • Installing and configuring the command line interface (CLI), specifically the Cloud SDK

Understanding functional and technical features of Planning and configuring a cloud solution

These skills are asked for:

  • Planning and estimating GCP product use using the Pricing Calculator
  • Planning and configuring compute resources
  • Selecting appropriate compute choices for a given workload
  • Using preemptible VMs and custom machine types as appropriate
  • Planning and configuring data storage options
  • Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
  • Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)
  • Planning and configuring network resources
  • Differentiating load balancing options
  • Identifying resource locations in a network for availability
  • Configuring Cloud DNS

Understanding functional and technical features of Deploying and implementing a cloud solution

These skills are asked for:

  • Deploying and implementing Compute Engine resources
  • Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys)
  • Creating an autoscaled managed instance group using an instance template
  • Generating/uploading a custom SSH key for instances
  • Configuring a VM for Stackdriver monitoring and logging
  • Assessing compute quotas and requesting increases
  • Installing the Stackdriver Agent for monitoring and logging
  • Deploying and implementing Google Kubernetes Engine resources
  • Deploying a Google Kubernetes Engine cluster
  • Deploying a container application to Google Kubernetes Engine using pods
  • Configuring Google Kubernetes Engine application monitoring and logging
  • Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources
  • Deploying an application, updating scaling configuration, versions, and traffic splitting
  • Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)
  • Deploying and implementing data solutions
  • Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)
  • Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)
  • Deploying and implementing networking resources
  • Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)
  • Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)
  • Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)
  • Creating a VPN between a Google VPC and an external network using Cloud VPN
  • Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)
  • Deploying a solution using Cloud Marketplace
  • Browsing Cloud Marketplace catalog and viewing solution details
  • Deploying a Cloud Marketplace solution
  • Deploying application infrastructure using Cloud Deployment Manager. Tasks include:
  • Developing Deployment Manager templates
  • Launching a Deployment Manager template

Understanding functional and technical features of Ensuring successful operation of a cloud solution

These skills are asked for:

  • Managing Compute Engine resources
  • Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance) SSH/RDP to the instance
  • Attaching a GPU to a new instance and installing CUDA libraries
  • Viewing current running VM inventory (instance IDs, details)
  • Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)
  • Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)
  • Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)
  • Managing Google Kubernetes Engine resources
  • Viewing current running cluster inventory (nodes, pods, services)
  • Browsing the container image repository and viewing container image details
  • Working with node pools (e.g., add, edit, or remove a node pool)
  • Working with pods (e.g., add, edit, or remove pods)
  • Working with services (e.g., add, edit, or remove a service)
  • Working with stateful applications (e.g. persistent volumes, stateful sets)
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • Managing App Engine and Cloud Run resources
  • Adjusting application traffic splitting parameters
  • Setting scaling parameters for autoscaling instances
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • Managing storage and database solutions
  • Moving objects between Cloud Storage buckets
  • Converting Cloud Storage buckets between storage classes
  • Setting object life cycle management policies for Cloud Storage buckets
  • Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)
  • Estimating costs of a BigQuery query
  • Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)
  • Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • Managing networking resources
  • Adding a subnet to an existing VPC
  • Expanding a subnet to have more IP addresses
  • Reserving static external or internal IP addresses
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
  • Monitoring and logging
  • Creating Stackdriver alerts based on resource metrics
  • Creating Stackdriver custom metrics
  • Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
  • Viewing and filtering logs in Stackdriver
  • Viewing specific log message details in Stackdriver
  • Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time)
  • Viewing Google Cloud Platform status
  • Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

How to register for Associate Cloud Engineer JPN Exam

In order to apply for the Associate Cloud Engineer, You have to follow these steps

  1. Go to the Associate Cloud Engineer Official Site
  2. Read the instruction Carefully
  3. Follow the given steps
  4. Apply for the Associate Cloud Engineer

What is the Associate Cloud Engineer Exam Format

  • Format: Multiple choices, multiple answers
  • Length of Examination: 2 Hours
  • Number of Questions: 50
  • Passing score: 80%
  • Language: Japanese

What is the salary of Associate Cloud Engineer Certified Professional

  • United States: 71,399 USD
  • India: 5092569.37 INR
  • Europe: 64758.65 Euro
  • England: 54610.82 Pound

What is the cost of Associate Cloud Engineer JPN Exam

The price of Associate Cloud Engineer JPN exam is $125 USD (plus tax where appropriate)

Below are advantages of Getting the Associate Cloud Engineer JPN Certification Exam

  • Google Certified Specialists are distinguished among competitors. Google Certified Specialists certification can give them an edge at that time easily when candidates appear for a job interview employers seek to notify something which differentiates the individual to another.
  • Google Certified Specialists have more useful and relevant networks that help them in setting career goals for themselves. Google Certified Specialists networks provide them with the right career direction than non certified usually are unable to get.
  • Google Certified Specialists will be confident and stand different from others as their skills are more trained than non-certified professionals.
  • Google Certified Specialists have the knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
  • Google Certified Specialists Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
  • Google Certified Specialists Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.

Below is the guide to get ready for the Associate Cloud Engineer Exam

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