Redacting Sensitive Data with the DLP API recensioni

Yevhen P. · Recensione inserita quasi 7 anni fa

5

narongsak s. · Recensione inserita quasi 7 anni fa

5

narongsak s. · Recensione inserita quasi 7 anni fa

Shakti M. · Recensione inserita quasi 7 anni fa

Vicente C. · Recensione inserita quasi 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 quasi 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 quasi 7 anni fa

Thomas C. · Recensione inserita quasi 7 anni fa

Richard F. · Recensione inserita quasi 7 anni fa

Manoj N. · Recensione inserita quasi 7 anni fa

Stacy V. · Recensione inserita quasi 7 anni fa

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

Nikolas K. · Recensione inserita quasi 7 anni fa

LTI S. · Recensione inserita quasi 7 anni fa

Akshaye K. · Recensione inserita quasi 7 anni fa

Rakesh T. · Recensione inserita quasi 7 anni fa

Orlando J. · Recensione inserita quasi 7 anni fa

Alexander L. · Recensione inserita quasi 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 quasi 7 anni fa

Eric M. · Recensione inserita quasi 7 anni fa

Punith L. · Recensione inserita quasi 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 quasi 7 anni fa

Julio Q. · Recensione inserita quasi 7 anni fa

Gaurav S. · Recensione inserita quasi 7 anni fa

good lab

Andrew G. · Recensione inserita quasi 7 anni fa

Great!

Jean-Remi P. · Recensione inserita quasi 7 anni fa