Masquer les données sensibles avec l'API DLP avis

Yevhen P. · Examiné il y a presque 7 ans

5

narongsak s. · Examiné il y a presque 7 ans

5

narongsak s. · Examiné il y a presque 7 ans

Shakti M. · Examiné il y a presque 7 ans

Vicente C. · Examiné il y a presque 7 ans

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. · Examiné il y a presque 7 ans

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. · Examiné il y a presque 7 ans

Thomas C. · Examiné il y a presque 7 ans

Richard F. · Examiné il y a presque 7 ans

Manoj N. · Examiné il y a presque 7 ans

Stacy V. · Examiné il y a presque 7 ans

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

Nikolas K. · Examiné il y a presque 7 ans

LTI S. · Examiné il y a presque 7 ans

Akshaye K. · Examiné il y a presque 7 ans

Rakesh T. · Examiné il y a presque 7 ans

Orlando J. · Examiné il y a presque 7 ans

Alexander L. · Examiné il y a presque 7 ans

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Walter A. · Examiné il y a presque 7 ans

Eric M. · Examiné il y a presque 7 ans

Punith L. · Examiné il y a presque 7 ans

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. · Examiné il y a presque 7 ans

Julio Q. · Examiné il y a presque 7 ans

Gaurav S. · Examiné il y a presque 7 ans

good lab

Andrew G. · Examiné il y a presque 7 ans

Great!

Jean-Remi P. · Examiné il y a presque 7 ans