Redacting Sensitive Data with the DLP API Reviews

Chris D. · Reviewed больше 7 лет ago

Ermir H. · Reviewed больше 7 лет ago

Yevhen P. · Reviewed больше 7 лет ago

5

narongsak s. · Reviewed больше 7 лет ago

5

narongsak s. · Reviewed больше 7 лет ago

Shakti M. · Reviewed больше 7 лет ago

Vicente C. · Reviewed больше 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 больше 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 больше 7 лет ago

Thomas C. · Reviewed больше 7 лет ago

Richard F. · Reviewed больше 7 лет ago

Manoj N. · Reviewed больше 7 лет ago

Stacy V. · Reviewed больше 7 лет ago

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

Nikolas K. · Reviewed больше 7 лет ago

LTI S. · Reviewed больше 7 лет ago

Akshaye K. · Reviewed больше 7 лет ago

Rakesh T. · Reviewed больше 7 лет ago

Orlando J. · Reviewed больше 7 лет ago

Alexander L. · Reviewed больше 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 больше 7 лет ago

Eric M. · Reviewed больше 7 лет ago

Punith L. · Reviewed больше 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 больше 7 лет ago

Julio Q. · Reviewed больше 7 лет ago

Gaurav S. · Reviewed больше 7 лет ago