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GCP:Google Cloud Associate Cloud Engineer(200 questions) Coupon
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[25% Off] GCP:Google Cloud Associate Cloud Engineer(200 questions) Course Coupon

Updated: by saadmerie
Duration: 3.0 hours
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With a great number of questions (200 questions) split over 4 exams.

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Description

Associate Cloud Engineer is a basic Google Cloud exam that proves your skills and knowledge of deploying applications, monitoring operations, and managing enterprise solutions.

This course provides the greatest number of questions on offer, covering test content from international versions of the test too (translated from the Japanese test papers. It also provides detailed explanations and reference URLs, so that you can learn the relevant concepts relating to each area of knowledge in the GCP.

[Test details]

Time: 2 hours

Registration fee: $ 125 (excluding tax)

Number of questions: 50 questions

This course consists of a set of 50 questions so that you can experience all question formats and content areas.


The test range will be set in the following five categories.

1. Setting up the cloud solution environment.

1.1 Set up a cloud project and account. It will cover the following:

Creating a project

Assignning users to predefined IAM roles in your project

Managing users with Cloud Identity (manual and automatic)

Enabling API in your project

Provisioning a Stackdriver workspace


1.2 Manage billing configurations. It will cover the following:

Creating a billing account

Linking your project to your billing account

Setting billing budgets and alerts

Setting up billing-related exports for daily / monthly price quotes

1.3 Install and configure the command line interface (CLI), specifically the Cloud SDK (for example, setting the default project).


2. Plan and configure your cloud solution

2.1 Plan and estimate GCP product usage using pricing tools

2.2 Plan and configure computing resources. It will cover the following:

Choosing the right computing service for your workload (eg Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)

Appropriate use of preemptible VMs and custom machine types


2.3 Plan and configure data storage options. It will cover the following:

Product selection (eg Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)

Selecting storage options (eg Standard, Nearline, Coldline, Archive)


2.4 Plan and configure network resources. It will cover the following:

Choosing between load balancing options

Determine the location of resources in your network with availability in mind


Configure Cloud DNS

3. Deploy and implement cloud solutions

3.1 Deploy and implement Compute Engine resources. It will cover the following:

Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (eg disk, availability policy, SSH authentication key assignment)

Creating managed instance groups that are autoscaled using instance templates

Generating and uploading a custom SSH key for your instance

Configuring Stackdriver Monitoring and Stackdriver Logging on the VM

Evaluating compute quotas and request quota increases

Installing Stackdriver Agent for monitoring and logging


3.2 Deploy and implement Google Kubernetes Engine resources. It will cover the following:

Deploying a Google Kubernetes Engine cluster

Deploying a container application to Google Kubernetes Engine using Pod

Configuring monitoring and logging for Google Kubernetes Engine applications


3.3 Deploy and implement App Engine resources, Cloud Run resources, and Cloud Functions resources. It will cover the following:

Deploying your application and update scaling configurations, versions, and traffic splits

Deployinh an application that receives Google Cloud events (eg Cloud Pub / Sub events, Cloud Storage object change notification events)


3.4 Deploy and implement the data solution. It will cover the following:

Initializing your data system using products (eg Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub / Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)

Importing data (eg command line uploads, API transfers, imports / exports, data imports from Cloud Storage, data streaming to Cloud Pub / Sub)


3.5 Deploy and implement networking resources. It will cover the following:

Creating a VPC with a subnet (eg custom mode VPC, shared VPC)

Launching a Compute Engine instance with a custom network configuration (eg, internal private IP address, private Google access, static external and private IP addresses, network tags)

Creating upstream and downstream firewall rules for your VPC (eg IP subnets, tags, service accounts)

Creating a VPN between your Google VPC and your external network using Cloud VPN

Creating a load balancer that distributes network traffic to your application (for example, Global HTTP (S) Load Balancer, Global SSL Proxy Load Balancer, Global TCP Proxy Load Balancer, Region Network Load Balancer, Region Internal Load Balancer)


3.6 Deploy the solution using Cloud Marketplace. It will cover the following:

Browsing the Cloud Marketplace catalog to learn more about the available solutions

Deploying a Cloud Marketplace solution


3.7 Deploy the application infrastructure using Cloud Deployment Manager. It will cover the following.

Developing a Deployment Manager template

Launching the Deployment Manager template


4. Ensuring proper operation of your cloud solution


4.1 Manage Compute Engine resources. It will cover the following:

Managing a single VM instance (eg start, stop, edit configuration, delete instance)

Connecting to the instance via SSH / RDP

Connecting the GPU to a new instance and install the CUDA library

Viewing inventory (instance ID, details) of currently running VMs

Manipulating snapshots (eg create snapshots from VMs, view snapshots, delete snapshots)

Manipulating images (eg create images from VMs or snapshots, view images, delete images)

Manipulating instance groups (eg setting autoscaling parameters, assigning or creating instance templates, deleting instance groups)

Working with management interfaces (eg Cloud Console, Cloud Shell, GCloud SDK)


4.2 Manage Google Kubernetes Engine resources. It will cover the following:

Viewing the inventory of currently running clusters (nodes, pods, services)

Browsing the container image repository to see the details of the container image

Manipulating node pools (eg add, edit, delete node pools)

Manipulating pods (eg add, edit, delete pods)

Manipulating services (eg add, edit, delete services)

Working with stateful applications (eg persistent volumes, stateful sets)

Working with management interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)


4.3 Deploy App Engine and Cloud Run resources. It will cover the following:

Adjusting application traffic split parameters

Setting autoscaling scaling parameters for your instance

Working with management interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)


4.4 Manage storage and database solutions. It will cover the following:

Moving objects between Cloud Storage buckets

Converting Cloud Storage buckets between storage classes

Setting object lifecycle management policies for Cloud Storage buckets

Running queries to retrieve data from data instances (eg Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)

Estimating the cost of BigQuery queries

Backing up and restoring data instances (eg Cloud SQL, Cloud Datastore)

Checking job status for Cloud Dataproc, Cloud Dataflow, and BigQuery

Working with management interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)


4.5 Manage networking resources. It will cover the following:

Adding a subnet to an existing VPC

Expanding subnets to increase IP addresses

Reserving a static external or internal IP address

Working with management interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)


4.6 Monitor and log. It will cover the following:

Creating Stackdriver alerts based on resource metrics

Creating a Stackdriver custom metric

Configuring log sync so that logs are exported to an external system (eg on-premises or BigQuery)

Viewing and filter Stackdriver logs

Viewing Stackdriver log message details

Investigating application issues using Cloud Diagnostics (eg Cloud Trace data review, application point-in-time review using Cloud Debug)

Viewing the status of Google Cloud Platform

Working with management interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)


5. Access and security configuration


5.1 Manage Identity and Access Management (IAM. It will cover the following:

Viewing IAM role assignments

Assigning IAM roles to accounts or Google groups

Defining a custom IAM role


5.2 Manage service accounts. It will cover the following:

Managing service accounts with limited privileges

Assigning a service account to a VM instance

Granting access to a service account in another project


5.3 View audit logs for projects and managed services.


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