Redacting Sensitive Data with the DLP API Reviews

5

narongsak s. · Reviewed yaklaşık 7 yıl ago

5

narongsak s. · Reviewed yaklaşık 7 yıl ago

Shakti M. · Reviewed yaklaşık 7 yıl ago

Vicente C. · Reviewed yaklaşık 7 yıl 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 yaklaşık 7 yıl 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 yaklaşık 7 yıl ago

Thomas C. · Reviewed yaklaşık 7 yıl ago

Richard F. · Reviewed yaklaşık 7 yıl ago

Manoj N. · Reviewed yaklaşık 7 yıl ago

Stacy V. · Reviewed yaklaşık 7 yıl ago

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

Nikolas K. · Reviewed yaklaşık 7 yıl ago

LTI S. · Reviewed yaklaşık 7 yıl ago

Akshaye K. · Reviewed yaklaşık 7 yıl ago

Rakesh T. · Reviewed yaklaşık 7 yıl ago

Orlando J. · Reviewed yaklaşık 7 yıl ago

Alexander L. · Reviewed yaklaşık 7 yıl ago

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

Eric M. · Reviewed yaklaşık 7 yıl ago

Punith L. · Reviewed yaklaşık 7 yıl 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 yaklaşık 7 yıl ago

Julio Q. · Reviewed yaklaşık 7 yıl ago

Gaurav S. · Reviewed yaklaşık 7 yıl ago

good lab

Andrew G. · Reviewed yaklaşık 7 yıl ago

Great!

Jean-Remi P. · Reviewed yaklaşık 7 yıl ago

Great!

Jean-Remi P. · Reviewed yaklaşık 7 yıl ago