Google associate cloud engineer

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Google Associate
Cloud Engineer

Google Cloud Platform Certification
Training chat-bot course.

$9.9

English

Buy course

$135

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full lifetime access

What you'll learn:

The skills required by the Associate Cloud Engineer (ACE) certification:

• Deploying applications
• Monitoring operations
• Managing enterprise solutions

The course also helps students demonstrate
those skills through certification.

The certification requires candidates to be familiar with GCP products, use Cloud SDK and Cloud Console UI, to perform many common platform-based tasks.

Google Associate Cloud Engineer course is learning
in the form of a game

Chat support, where there are already 756 students and analysis of all questions

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Learning principle -
first practice, then theory

The aim of the course is to increase
your income in 1.5-2 times

The aim of the courses is
to increase your income

From Payscale.com

Course program

CHAPTER

Activities include:

GCP account registration.
Creating projects, folders, organizations.
Enabling APIs within projects.
Work with Google Cloud Platform Console.
Creating a Compute Engine instance and install nginx.

Activities include:

Assigning users to predefined IAM roles within a project
Managing users in Cloud Identity (manually and automated)
Understanding service accounts.
IAM best practices.

Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).
Understanding ‘gcloud’ commands.
Working with common ‘gcloud’ commands.
Creating a Compute Engine instance using SDK.

CHAPTER

Planning and estimating GCP product use using the Pricing Calculator

Considerations include:

Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)
Using preemptible VMs and custom machine types as appropriate

Considerations include:

Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)

Tasks include:

Differentiating load balancing options
Identifying resource locations in a network for availability
Configuring Cloud DNS

CHAPTER

Deploying and implementing Compute Engine resources.

Tasks include:

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

Tasks include:

Deploying a Google Kubernetes Engine cluster
Deploying a container application to Google Kubernetes Engine using pods
Configuring Google Kubernetes Engine application monitoring and logging

Tasks include, where applicable:

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)

Tasks include:

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)

Tasks include:

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)

Tasks include:

Browsing Cloud Marketplace catalog and viewing solution details
Deploying a Cloud Marketplace solution

Tasks include:

Developing Deployment Manager templates
Launching a Deployment Manager template

CHAPTER

Managing Computer Engine resources.

Tasks include:

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)

Tasks include:

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)

Tasks include:

Adjusting application traffic splitting parameters
Setting scaling parameters for autoscaling instances
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Tasks include:

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)

Tasks include:

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)

Tasks include:

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)