Redacting Sensitive Data with the DLP API Reviews

Yevhen P. · Reviewed כמעט 7 שנים ago

5

narongsak s. · Reviewed כמעט 7 שנים ago

5

narongsak s. · Reviewed כמעט 7 שנים ago

Shakti M. · Reviewed כמעט 7 שנים ago

Vicente C. · Reviewed כמעט 7 שנים 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 כמעט 7 שנים 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 כמעט 7 שנים ago

Thomas C. · Reviewed כמעט 7 שנים ago

Richard F. · Reviewed כמעט 7 שנים ago

Manoj N. · Reviewed כמעט 7 שנים ago

Stacy V. · Reviewed כמעט 7 שנים ago

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

Nikolas K. · Reviewed כמעט 7 שנים ago

LTI S. · Reviewed כמעט 7 שנים ago

Akshaye K. · Reviewed כמעט 7 שנים ago

Rakesh T. · Reviewed כמעט 7 שנים ago

Orlando J. · Reviewed כמעט 7 שנים ago

Alexander L. · Reviewed כמעט 7 שנים ago

Cloud Shell old version works with dlp-input.png, new one does not: �PNG  IHDR�
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Walter A. · Reviewed כמעט 7 שנים ago

Eric M. · Reviewed כמעט 7 שנים ago

Punith L. · Reviewed כמעט 7 שנים 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 כמעט 7 שנים ago

Julio Q. · Reviewed כמעט 7 שנים ago

Gaurav S. · Reviewed כמעט 7 שנים ago

good lab

Andrew G. · Reviewed כמעט 7 שנים ago

Great!

Jean-Remi P. · Reviewed כמעט 7 שנים ago