Menyiapkan Data untuk ML API di Google Cloud: Challenge Lab Ulasan

Oscar B. · Diulas 2 bulan lalu

The lab lacks good hints for upload to storage. I used gcloud storage cp --content-type="application/json" result.json gs://qwiklabs-gcp-01-5637552433e7-marking/task3-gcs-733.result and that resulted in creating the folder then put result.json under it. it cost me one run and i had to redo the entire lab because once the folder is created, deleting it through the UI did not work. using sutil -h "Content-Type: application/json" cp result.json gs://qwiklabs-gcp-03-5ecbf5252a66-marking/task3-gcs-295.result at the second run worked and passed the check. Do you expect everyone is skilled with gcloud storage? this is not realistic

Corinna F. · Diulas 2 bulan lalu

Tasfia Akter U. · Diulas 2 bulan lalu

Anne Grete H. · Diulas 2 bulan lalu

Tasfia Akter U. · Diulas 2 bulan lalu

Ahmed E. · Diulas 2 bulan lalu

TRISHANJIT D. · Diulas 2 bulan lalu

Subhasri R. · Diulas 2 bulan lalu

Chanjal R. · Diulas 2 bulan lalu

MD SAJIB A. · Diulas 2 bulan lalu

AYUSH P. · Diulas 2 bulan lalu

awesome

Karan D. · Diulas 2 bulan lalu

Abdullilah A. · Diulas 2 bulan lalu

Artur K. · Diulas 2 bulan lalu

Pratham D. · Diulas 2 bulan lalu

Chiroshree B. · Diulas 2 bulan lalu

Emma O. · Diulas 2 bulan lalu

PRIYOM S. · Diulas 2 bulan lalu

Harsh 1. · Diulas 2 bulan lalu

SK R. · Diulas 2 bulan lalu

Matias G. · Diulas 2 bulan lalu

Janista K. · Diulas 2 bulan lalu

ABAYOMI O. · Diulas 2 bulan lalu

Bhaswati M. · Diulas 2 bulan lalu

SK R. · Diulas 2 bulan lalu