Redacting Sensitive Data with the DLP API Reviews

5

narongsak s. · Reviewed about 7 years ago

5

narongsak s. · Reviewed about 7 years ago

Shakti M. · Reviewed about 7 years ago

Vicente C. · Reviewed about 7 years 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 about 7 years 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 about 7 years ago

Thomas C. · Reviewed about 7 years ago

Richard F. · Reviewed about 7 years ago

Manoj N. · Reviewed about 7 years ago

Stacy V. · Reviewed about 7 years ago

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

Nikolas K. · Reviewed about 7 years ago

LTI S. · Reviewed about 7 years ago

Akshaye K. · Reviewed about 7 years ago

Rakesh T. · Reviewed about 7 years ago

Orlando J. · Reviewed about 7 years ago

Alexander L. · Reviewed about 7 years ago

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

Eric M. · Reviewed about 7 years ago

Punith L. · Reviewed about 7 years 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 about 7 years ago

Julio Q. · Reviewed about 7 years ago

Gaurav S. · Reviewed about 7 years ago

good lab

Andrew G. · Reviewed about 7 years ago

Great!

Jean-Remi P. · Reviewed about 7 years ago

Great!

Jean-Remi P. · Reviewed about 7 years ago