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

Aarti D. · Diulas 26 hari lalu

Harshit R. · Diulas 26 hari lalu

kowshik r. · Diulas 26 hari lalu

Manju Muralidharan .. · Diulas 26 hari lalu

S MONICA S. · Diulas 26 hari lalu

Shrikant M. · Diulas 26 hari lalu

Anudita B. · Diulas 26 hari lalu

238R1A05V8 M. · Diulas 26 hari lalu

Smriti K. · Diulas 26 hari lalu

Vattikuti D. · Diulas 26 hari lalu

Shreyans J. · Diulas 26 hari lalu

Smriti K. · Diulas 26 hari lalu

SOURISH M. · Diulas 26 hari lalu

AYAN S. · Diulas 26 hari lalu

Dhanalakshmi N. · Diulas 26 hari lalu

Suii G. · Diulas 26 hari lalu

Anuradha R. · Diulas 26 hari lalu

Vedashri C. · Diulas 26 hari lalu

Manohar A. · Diulas 26 hari lalu

Hitesh S. · Diulas 26 hari lalu

Bisakh p. · Diulas 26 hari lalu

The lab was very informative and helped me gain hands-on experience with Dataflow, BigQuery, Dataproc, and Speech-to-Text APIs. However, I faced an issue in Task 3 where the marking bucket appeared to exist and was visible in the bucket list, but Cloud Shell repeatedly returned "bucket does not exist" errors when attempting to access or upload files. This caused significant confusion and consumed a considerable amount of time troubleshooting. It would be helpful if the lab environment ensured consistent bucket accessibility or provided clearer guidance for handling such situations.

25eu04336 A. · Diulas 26 hari lalu

Ni se entiende

Silvia R. · Diulas 26 hari lalu

ABHISHEK S. · Diulas 26 hari lalu

The required Managed Spark cluster configuration was a bit unclear.

Logan P. · Diulas 26 hari lalu