Opinie (Redacting Sensitive Data with the DLP API)

Chris D. · Sprawdzono ponad 7 lat temu

Ermir H. · Sprawdzono ponad 7 lat temu

Yevhen P. · Sprawdzono ponad 7 lat temu

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narongsak s. · Sprawdzono ponad 7 lat temu

5

narongsak s. · Sprawdzono ponad 7 lat temu

Shakti M. · Sprawdzono ponad 7 lat temu

Vicente C. · Sprawdzono ponad 7 lat temu

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. · Sprawdzono ponad 7 lat temu

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. · Sprawdzono ponad 7 lat temu

Thomas C. · Sprawdzono ponad 7 lat temu

Richard F. · Sprawdzono ponad 7 lat temu

Manoj N. · Sprawdzono ponad 7 lat temu

Stacy V. · Sprawdzono ponad 7 lat temu

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

Nikolas K. · Sprawdzono ponad 7 lat temu

LTI S. · Sprawdzono ponad 7 lat temu

Akshaye K. · Sprawdzono ponad 7 lat temu

Rakesh T. · Sprawdzono ponad 7 lat temu

Orlando J. · Sprawdzono ponad 7 lat temu

Alexander L. · Sprawdzono ponad 7 lat temu

Cloud Shell old version works with dlp-input.png, new one does not: �PNG  IHDR�
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Walter A. · Sprawdzono ponad 7 lat temu

Eric M. · Sprawdzono ponad 7 lat temu

Punith L. · Sprawdzono ponad 7 lat temu

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. · Sprawdzono ponad 7 lat temu

Julio Q. · Sprawdzono ponad 7 lat temu

Gaurav S. · Sprawdzono ponad 7 lat temu