Redacting Sensitive Data with the DLP API recensioni

Chris D. · Recensione inserita oltre 7 anni fa

Ermir H. · Recensione inserita oltre 7 anni fa

Yevhen P. · Recensione inserita oltre 7 anni fa

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narongsak s. · Recensione inserita oltre 7 anni fa

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narongsak s. · Recensione inserita oltre 7 anni fa

Shakti M. · Recensione inserita oltre 7 anni fa

Vicente C. · Recensione inserita oltre 7 anni fa

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. · Recensione inserita oltre 7 anni fa

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. · Recensione inserita oltre 7 anni fa

Thomas C. · Recensione inserita oltre 7 anni fa

Richard F. · Recensione inserita oltre 7 anni fa

Manoj N. · Recensione inserita oltre 7 anni fa

Stacy V. · Recensione inserita oltre 7 anni fa

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

Nikolas K. · Recensione inserita oltre 7 anni fa

LTI S. · Recensione inserita oltre 7 anni fa

Akshaye K. · Recensione inserita oltre 7 anni fa

Rakesh T. · Recensione inserita oltre 7 anni fa

Orlando J. · Recensione inserita oltre 7 anni fa

Alexander L. · Recensione inserita oltre 7 anni fa

Cloud Shell old version works with dlp-input.png, new one does not: �PNG  IHDR�
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Walter A. · Recensione inserita oltre 7 anni fa

Eric M. · Recensione inserita oltre 7 anni fa

Punith L. · Recensione inserita oltre 7 anni fa

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. · Recensione inserita oltre 7 anni fa

Julio Q. · Recensione inserita oltre 7 anni fa

Gaurav S. · Recensione inserita oltre 7 anni fa