Redacting Sensitive Data with the DLP API Reviews

Yevhen P. · Reviewed almost 7 years ago

5

narongsak s. · Reviewed almost 7 years ago

5

narongsak s. · Reviewed almost 7 years ago

Shakti M. · Reviewed almost 7 years ago

Vicente C. · Reviewed almost 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 almost 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 almost 7 years ago

Thomas C. · Reviewed almost 7 years ago

Richard F. · Reviewed almost 7 years ago

Manoj N. · Reviewed almost 7 years ago

Stacy V. · Reviewed almost 7 years ago

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

Nikolas K. · Reviewed almost 7 years ago

LTI S. · Reviewed almost 7 years ago

Akshaye K. · Reviewed almost 7 years ago

Rakesh T. · Reviewed almost 7 years ago

Orlando J. · Reviewed almost 7 years ago

Alexander L. · Reviewed almost 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 almost 7 years ago

Eric M. · Reviewed almost 7 years ago

Punith L. · Reviewed almost 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 almost 7 years ago

Julio Q. · Reviewed almost 7 years ago

Gaurav S. · Reviewed almost 7 years ago

good lab

Andrew G. · Reviewed almost 7 years ago

Great!

Jean-Remi P. · Reviewed almost 7 years ago