If necessary, copy the Username from the Lab Details panel and paste it into the Sign in dialog. Note: If you see the Choose an account dialog, click Use Another Account. Tip: Arrange the tabs in separate windows, side-by-side. The lab spins up resources, and then opens another tab that shows the Sign in page. Other information, if needed, to step through this lab.The temporary credentials that you must use for this lab.On the left is the Lab Details panel with the following: If you need to pay for the lab, a pop-up opens for you to select your payment method. How to start your lab and sign in to the Google Cloud ConsoleĬlick the Start Lab button. Note: If you already have your own personal Google Cloud account or project, do not use it for this lab to avoid extra charges to your account. Time to complete the lab-remember, once you start, you cannot pause a lab.This prevents any conflicts between your personal account and the Student account, which may cause extra charges incurred to your personal account. Note: Use an Incognito or private browser window to run this lab. Access to a standard internet browser (Chrome browser recommended).It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. Labs are timed and you cannot pause them. Setup and requirements Before you click the Start Lab button Learn about de-identification techniques and de-identify data Inspect strings and files for matching info types In this lab, you use Cloud DLP to do the following: In this lab, you learn the basic capabilities of the Cloud DLP API and try out various ways to use the API to protect data. Tokenization: replace sensitive data with a unique identifier.Masking: mask sensitive data with a placeholder, such as *.Redaction: redact sensitive data from a document or file.The DLP API protects sensitive data in a variety of ways, including: You use the DLP API to classify data in a variety of ways, including data type, sensitivity level, and catagories. Cloud Data Loss Prevention (Cloud DLP) is a fully managed service designed to help discover, classify, and protect sensitive information.
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