Redacting Sensitive Data with the DLP API Reviews

5

narongsak s. · Reviewed حوالي 7 سنوات ago

5

narongsak s. · Reviewed حوالي 7 سنوات ago

Shakti M. · Reviewed حوالي 7 سنوات ago

Vicente C. · Reviewed حوالي 7 سنوات ago

Click on the dlp-input.png file to display the image doesn't actually show you the image in the new cloud shell editor. I had to download the .png file to view it locally instead.

Michael T. · Reviewed حوالي 7 سنوات ago

the instructions should cover on how to view the redacted image. Like go to downloads, copy the file name and download it to view the redacted part

Sunderson S. · Reviewed حوالي 7 سنوات ago

Thomas C. · Reviewed حوالي 7 سنوات ago

Richard F. · Reviewed حوالي 7 سنوات ago

Manoj N. · Reviewed حوالي 7 سنوات ago

Stacy V. · Reviewed حوالي 7 سنوات ago

Image was rendering in binary in the code editor as opposed to what the exam was dictating

Nikolas K. · Reviewed حوالي 7 سنوات ago

LTI S. · Reviewed حوالي 7 سنوات ago

Akshaye K. · Reviewed حوالي 7 سنوات ago

Rakesh T. · Reviewed حوالي 7 سنوات ago

Orlando J. · Reviewed حوالي 7 سنوات ago

Alexander L. · Reviewed حوالي 7 سنوات ago

Cloud Shell old version works with dlp-input.png, new one does not: �PNG  IHDR�
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Walter A. · Reviewed حوالي 7 سنوات ago

Eric M. · Reviewed حوالي 7 سنوات ago

Punith L. · Reviewed حوالي 7 سنوات ago

Lab bombs out (Listed commands error out, do not function) beginning @Task2. step 6: Run the following command to install the required dependencies. npm install @google-cloud/dlp npm install yargs npm install mime Task 3. Inspecting and redacting sensitive data Inspect a string for sensitive information In Cloud Shell run the following command: node inspect.js string "My email address is joe@example.com." You should receive the following output: Findings: Quote: joe@example.com Info type: EMAIL_ADDRESS Likelihood: LIKELY The result shows what sensitive data was found, what type of information it is, and how certain the API is about that info type. In Cloud Shell run the following command: node inspect.js string "My phone number is 555-555-5555." You should receive the following output: Findings: Quote: 555-555-5555 Info type: PHONE_NUMBER Likelihood: VERY_LIKELY

Brian M. · Reviewed حوالي 7 سنوات ago

Julio Q. · Reviewed حوالي 7 سنوات ago

Gaurav S. · Reviewed حوالي 7 سنوات ago

good lab

Andrew G. · Reviewed حوالي 7 سنوات ago

Great!

Jean-Remi P. · Reviewed حوالي 7 سنوات ago

Great!

Jean-Remi P. · Reviewed حوالي 7 سنوات ago