Redacting Sensitive Data with the DLP API Reviews

5

narongsak s. · Reviewed около 7 лет ago

5

narongsak s. · Reviewed около 7 лет ago

Shakti M. · Reviewed около 7 лет ago

Vicente C. · Reviewed около 7 лет 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 около 7 лет 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 около 7 лет ago

Thomas C. · Reviewed около 7 лет ago

Richard F. · Reviewed около 7 лет ago

Manoj N. · Reviewed около 7 лет ago

Stacy V. · Reviewed около 7 лет ago

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

Nikolas K. · Reviewed около 7 лет ago

LTI S. · Reviewed около 7 лет ago

Akshaye K. · Reviewed около 7 лет ago

Rakesh T. · Reviewed около 7 лет ago

Orlando J. · Reviewed около 7 лет ago

Alexander L. · Reviewed около 7 лет ago

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

Eric M. · Reviewed около 7 лет ago

Punith L. · Reviewed около 7 лет 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 около 7 лет ago

Julio Q. · Reviewed около 7 лет ago

Gaurav S. · Reviewed около 7 лет ago

good lab

Andrew G. · Reviewed около 7 лет ago

Great!

Jean-Remi P. · Reviewed около 7 лет ago

Great!

Jean-Remi P. · Reviewed около 7 лет ago