Redacting Sensitive Data with the DLP API Reviews

20640 reviews

Akshaye K. · Reviewed over 7 years ago

Rakesh T. · Reviewed over 7 years ago

Orlando J. · Reviewed over 7 years ago

Alexander L. · Reviewed over 7 years ago

Cloud Shell old version works with dlp-input.png, new one does not: �PNG  IHDR�?\��_ IDATx�} |E��w�d3QX(�� jX IwA��(bH���]T *�(p9E9v�����9�tU@��J�4�Q3$��O�LWw�t�L2�����SǫW�����u�I�$�!@�!@�!p `��@E B� B� dȸ%E B� B��d ����J*!@�!@����!@�!@� d�^2UI!B� B� �t� B� B�A���K�*� �!@�!@dܒ�!@�!@\2�T�$k׮E^^^e�-!@�!@�!�qqq�֭�_�fD~�K�,�O<aƇ� B� B� ��X�t)���_e>~oK��*cL B� B� �D`���~R��=s�M޶m[t��QDnB� B� B�Jlݺ{��RZ}"��[I�xZfܾ����OB� B� B���?>hƭ���*,�#B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B�� ��!� B� B� j 2nk iʇ B� B��������W6�4�!�RY:�?�"�$���j��z�J����Yh����8�r'�'�c�Pe&��B�%K[ÿ :���3�b|�?�[��\[�k� ;y.����k��+kT#����&�v�j�B�\U<kM:G! ~R��*�q5\�cM �B������lQ�n�b��y$?���,L�_ZZ���$)��Gx:KHG鋒 ��J���a��c�����R�Nia������TH�<���U� ����Q� �+-@��� �ٹ�*͇�=�m��f�TR�EpJى�y螢����U��B�B�\����6��$�H����Gp�}3���fB܂��Xo5��@��azz:o�Æ H�JN�U���]�&��`S}�]!a����Yw��\��jf��B5_h�-C�%����<J

Walter A. · Reviewed over 7 years ago

Eric M. · Reviewed over 7 years ago

Punith L. · Reviewed over 7 years 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 over 7 years ago

Julio Q. · Reviewed over 7 years ago

Gaurav S. · Reviewed over 7 years ago

good lab

Andrew G. · Reviewed over 7 years ago

Great!

Jean-Remi P. · Reviewed over 7 years ago

Great!

Jean-Remi P. · Reviewed over 7 years ago

Carolin B. · Reviewed over 7 years ago

Mykola M. · Reviewed over 7 years ago

Fernando G. · Reviewed over 7 years ago

Rakesh S. · Reviewed over 7 years ago

Johnstone E. · Reviewed over 7 years ago

Henry R. · Reviewed over 7 years ago

Srikanth R. · Reviewed over 7 years ago

Francois H. · Reviewed over 7 years ago

Jean-Etienne Q. · Reviewed over 7 years ago

Pratap S. · Reviewed over 7 years ago

Peter P. · Reviewed over 7 years ago

Samir S. · Reviewed over 7 years ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.