Como encobrir dados sensíveis usando a API DLP avaliações

20640 avaliações

Akshaye K. · Revisado há over 7 years

Rakesh T. · Revisado há over 7 years

Orlando J. · Revisado há over 7 years

Alexander L. · Revisado há over 7 years

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. · Revisado há over 7 years

Eric M. · Revisado há over 7 years

Punith L. · Revisado há over 7 years

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. · Revisado há over 7 years

Julio Q. · Revisado há over 7 years

Gaurav S. · Revisado há over 7 years

good lab

Andrew G. · Revisado há over 7 years

Great!

Jean-Remi P. · Revisado há over 7 years

Great!

Jean-Remi P. · Revisado há over 7 years

Carolin B. · Revisado há over 7 years

Mykola M. · Revisado há over 7 years

Fernando G. · Revisado há over 7 years

Rakesh S. · Revisado há over 7 years

Johnstone E. · Revisado há over 7 years

Henry R. · Revisado há over 7 years

Srikanth R. · Revisado há over 7 years

Francois H. · Revisado há over 7 years

Jean-Etienne Q. · Revisado há over 7 years

Pratap S. · Revisado há over 7 years

Peter P. · Revisado há over 7 years

Samir S. · Revisado há over 7 years

Não garantimos que as avaliações publicadas sejam de consumidores que compraram ou usaram os produtos. As avaliações não são verificadas pelo Google.