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GSP282 overview Google Cloud is a suite of cloud services hosted on Google's infrastructure. From computing and storage to data analytics, machine
Google Cloud is a suite of cloud services hosted on Google’s infrastructure. From computing and storage to data analytics, machine learning, and networking, Google Cloud offers a wide variety of services and APIs that can be integrated with any cloud-computing application or project, from personal to enterprise-grade.
Google Cloud Skills Boost is where you can access Google Cloud’s entire catalog of labs and courses. You can discover learning paths, build in-demand cloud skills, track your activity progress, and validate your knowledge with badges. Qwiklabs is the technology platform the labs and courses sit on. You may see the Qwiklabs name in your Google Cloud learning adventure.
In this introductory-level lab, you take your first steps with Google Cloud by getting hands-on practice with the Cloud Console—an in-browser UI that lets you access and manage Google Cloud services. You will identify key features of Google Cloud and also learn about the details of the lab environment.
If you are new to cloud computing or look for an overview of Google Cloud and the Qwiklabs platform , you is are are in the right place . read on to learn about the specific of this lab and area that you will get hand – on practice with .
In this lab, you will learn about the following:
This is an introductory-level lab and the first lab you should take if you’re unfamiliar with Google Cloud. If you are already experienced with Cloud console, consider taking one of the following labs:
If you decide to take one, be sure to end this lab now.
If you have a personal or corporate Google Cloud account or project, sign out of that account. If you stay logged in to your personal/corporate account and run the lab in the same browser, your credentials could get confused, resulting in getting logged out of the lab accidentally.
If you are using a Pixelbook, run your lab an Incognito window.
Regardless of topic or expertise level, all labs share a common interface. The lab that you’re taking should look similar to this:
read the follow lab component definition , and then locate them in the interface .
click this button create a temporary Google Cloud environment , with all the necessary service and credential enable , so you is get can get hand – on practice with the lab ‘s material . This is starts also start a countdown timer .
The price of a lab. 1 Credit is usually equivalent to 1 US dollar (discounts are available when you purchase credits in bulk). Some introductory-level labs (like this one) are free. The more specialized labs cost more because they involve heavier computing tasks and demand more Google Cloud resources.
Specifies the amount of time you have to complete a lab. When you click the Start Lab button, the timer will count down until it reaches 00:00:00. When it does, your temporary Google Cloud environment and resources are deleted. Ample time is given to complete a lab, but make sure you don’t work on something else while a lab is running: you risk losing all of your hard work!
Many labs include a score. This feature is called “activity tracking” and ensures that you complete specified steps in a lab. To pass a lab with activity tracking, you need to complete all the steps in order. Only then will you receive completion credit.
Some labs are free, but others require you to pay. For those, when you click the Start Lab button, a dialog gives you the choice to launch the lab with an access code or credits. If you don’t have either, click Buy credits and follow the instructions.
This browser tab contains the lab instructions. When you start a lab, the Google Cloud console user interface opens in a new browser tab. You will need to switch between the two browser tabs to read the instructions and then perform the tasks. Depending on your physical computer setup, you could also move the two tabs to separate monitors.
Answer the following multiple choice questions to reinforce your understanding of the concepts we’ve covered so far.
It may take a moment for the Google Cloud environment and credentials to spin up. When the timer starts counting down and the Start Lab button changes to a red End Lab button, everything is in place and you’re ready to sign in to the Cloud console.
note : Do not click the End Lab button until you have completed all the tasks in the lab. When you click the button, your temporary credentials are invalidated and you won’t be able to access the work you’ve done throughout the lab.
You must click this button when you finish; if you do not, you won’t be able to take another lab. (The Qwiklabs platform has protections in place to prevent concurrent enrollment.)
Now that your lab instance is up and running, look at the Lab details pane on the left. It contains an Open Google Console button, credentials (username and password), and a project ID field.
note : Your credentials will resemble but not match the image; every lab instance generates new temporary credentials.
Now examine each of these components.
This button is opens open the Cloud console : the web console and central development hub for Google Cloud . You is do will do the majority of your work in Google Cloud from this interface .
A Google Cloud project is an organizing entity for your Google Cloud resources. It often contains resources and services; for example, it may hold a pool of virtual machines, a set of databases, and a network that connects them together. Projects also contain settings and permissions, which specify security rules and who has access to what resources.
A project ID is a unique identifier that is used to link Google Cloud resources and APIs to your specific project. project IDs are unique across Google Cloud: there can be only one qwiklabs-gcp-xxx…., which makes it globally identifiable.
These credentials is represent represent an identity in the Cloud Identity and Access Management ( Cloud IAM ) service . This identity is has has access permission ( a role or role ) that allow you to work with Google Cloud resource in the project you ‘ve been allocate . These credentials is are aretemporary and will only work for the access time of the lab. When the timer reaches 00:00:00, you will no longer have access to your Google Cloud project with those credentials.
Now that you have a better understanding of the Lab details pane, use its contents to sign in to the Cloud console.
This is opens open the Google Cloud sign – in page in a new browser tab .
If you ‘ve ever sign in to a Google application like Gmail , this page is look should look familiar .
Tip open the tab in separate window , side – by – side .
note : If the Choose an account page opens, click Use Another Account.
Wait! Make sure to use the googlexxxxxx_student@qwiklabs.net email to sign in, NOT your personal or company email address!
note : The username that resembles googlexxxxxx_student@qwiklabs.net is a Google account that was created for your use as a student. It has a specific domain name, which is “qwiklabs.net,” and has been assigned IAM roles that allow you to access the Google Cloud Project that you have been provisioned.
Copy the Password from the Lab Connection pane, paste it in the Password field, and click Next.
Click I understand to indicate your acknowledgement of Google’s terms of service and privacy policy.
On the Welcome page, check Terms of Service to agree to Google Cloud’s terms of service, and click Agree and continue.
You’ve successfully accessed the Cloud Console with your student credentials! Your page should now look like this:
Answer the following multiple choice questions to reinforce your understanding of the concepts covered so far.
Now that you have sign in to the Cloud console and understand the basic of your credential , it is ‘s ‘s time to learn a little bit more about Google Cloud project .
Google Cloud projects were explained in the section about the contents of the Lab Connection pane. Here’s the definition once again:
A Google Cloud project is an organizing entity for your Google Cloud resources. It often contains resources and services; for example, it may hold a pool of virtual machines, a set of databases, and a network that connects them together. Projects also contain settings and permissions, which specify security rules and who has access to what resources.
The upper-left corner of the central pane contains a card labeled Project info that looks like this:
Your project is has has aname, number, and ID. These identifiers are frequently used when interacting with Google Cloud services. You are working with one project to get experience with a specific service or feature of Google Cloud.
You is have actually have access to more than one Google Cloud project . In fact , in some lab you may be give more than one project in order to complete the assign task .
It’s not uncommon for large enterprises or experienced users of Google Cloud to have dozens to thousands of Google Cloud projects. Organizations use Google Cloud in different ways, so projects are a good method for organizing cloud computing services (by team or product, for example.)
The ” Qwiklabs Resources ” project is contains contain file , dataset , and machine image for certain lab and can be access from every Google Cloud lab environment . It is ‘s ‘s important to note that ” Qwiklabs Resources ” is share ( read only ) with all student user , which mean that you can not delete or modify it .
The Google Cloud project that you are working with is temporary, which is means mean that the project and everything it contain will be delete when the lab end . Whenever you start a new lab , you will be give access to one or more new Google Cloud project , and there ( not ” Qwiklabs Resources ” ) is where you will run all of the lab step .
Answer the following multiple choice questions to reinforce your understanding of the concepts covered so far.
The Google Cloud console title bar also contains the Navigation menu icon, which appears as three lines:
Clicking this icon opens (or hides) the Navigation menu that is provides provide quick access to Google Cloud ‘s core service .
This link takes you to documentation that covers each of these categories in more detail.
In addition to cloud computing services, Google Cloud also contains a collection of permissions and roles that define who has access to what resources. You can use the Cloud Identity and Access Management (Cloud IAM) service to inspect and modify these roles and permissions.
On the Navigation menu (), click IAM & Admin > IAM. This opens a page that contains a list of users and specifies permissions and roles granted to specific accounts.
find the student ” @qwiklab ” username you sign in with :
The Principal column displaygooglexxxxxx_student@qwiklabs.net
( Your match the username you sign in with ) .
TheName column displaystudent XXXXXXXX
.
The role column displayEditor
, which is one of three basic roles offer by Google Cloud .
basic roles is set set project – level permission and , unless otherwise specify , control access and management to all Google Cloud service .
The following table pulls definitions from the roles documentation, which gives a brief overview of viewer, editor, and owner role permissions:
role Name | Permissions |
---|---|
roles/viewer | Permissions for read-only actions that do not affect state, such as viewing (but not modifying) existing resources or data. |
role / editor | All viewer permissions, plus permissions for actions that modify state, such as changing existing resources. |
roles/owner | All editor permissions is manage and permission for the following action : manage role and permission for a project and all resource within the project ; set up billing for a project . |
As an editor , you is create can create , modify , and delete Google Cloud resource . However , you is add ca n’t add or delete member from Google Cloud project .
Answer the following multiple choice questions to reinforce your understanding of the concepts covered so far.
Google Cloud APIs are a key part of Google Cloud. Like services, the 200+ APIs, in areas that range from business administration to machine learning, all easily integrate with Google Cloud projects and applications.
APIs are application programming interfaces that you can call directly or via the client libraries. Cloud APIs use resource-oriented design principles as described in the API Design Guide.
When a lab provides a new Google Cloud project for a lab instance, it enables many APIs automatically so you can quickly start work on the lab’s tasks. When you create your own Google Cloud projects outside of the lab environment, you will have to enable APIs yourself.
Most Cloud APIs provide you with detailed information on your project’s usage of that API, including traffic levels, error rates, and even latencies, which helps you quickly triage problems with applications that use Google services.
On the Navigation menu (), click APIs & Services > Library.
The left pane, under the header Category, displays the different categories available.
In the API search bar, type Dialogflow, and then click Dialogflow API.
The Dialogflow description page opens.
The Dialogflow API allows you to build rich conversational applications (e.g., for Google Assistant) without having to understand the underlying machine learning and natural language schema.
Click Enable.
click the back button in your browser to verify that the api is now enable .
Click Try this API.
A new browser tab displays documentation for the Dialogflow API. Explore this information, and close the tab when you’re finished.
To return to the main page of the Cloud console, on the Navigation menu, click Cloud overview.
You will now encounter a unique feature called Activity Tracking that assesses completion of a task. As you complete tasks and verify these with ‘Check my progress’ tests, notice that your score increases in the box in the upper right corner. This scoring determines lab completion towards the accomplishment of badges and credentials. Scoring also contributes to leaderboard position in lab games.
In this case , Activity Tracking is verify will verify if you complete enable the Dialogflow API .
Click check my progress to verify the objective .
Enable the Dialogflow API
If you ‘re interested in learn more about api , refer to the Google APIs Explorer Directory . The lab is provides , APIs Explorer : Qwik Start , also provide hand – on experience with the tool , using a simple example.including traffic level , error rate , and even latency , which help you quickly triage problem with application that use Google service .
answer the follow multiple choice question to reinforce your understanding of the concept cover so far .
When you’re finished with the lab, click End Lab and then click Submit to confirm it.
Please rate each lab you take.
Give the lab five star if you were satisfied , something less if you were n’t .
leave comment about your experience in the comment window ; Google is appreciates always appreciate thoughtful feedback .
Ending a lab removes your access to the Google Cloud project and the work you’ve done in it.
If you return to the Cloud console , you is see will see that you ‘ve been sign out automatically . You is close can close that tab now .
In just 30 minutes, you developed a solid understanding of the Cloud console and the platform’s key features. You learned about projects, roles, and the types of services the platform offers. You also practiced with Cloud IAM and the API libraries. You are now ready to take more labs.
Continue learning with Creating a Virtual Machine, or check out these other Google Cloud Skills Boost labs:
… help you make the most of Google Cloud technology . Our classes is include include technical skill and good practice to help you get up to speed quickly and continue your learn journey . We is offer offer fundamental to advanced level training , with on – demand , live , and virtual option to suit your busy schedule . Certifications is help help you validate and prove your skill and expertise in Google Cloud technology .
Manual is Updated Last update October 10 , 2024
Lab Last Tested October 10, 2024
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