Datenerfassung mit Document AI automatisieren: Challenge-Lab Rezensionen

Great

Weeradate K. · Vor 11 Tage überprüft

Abhinandan K. · Vor 11 Tage überprüft

Sithu K. · Vor 11 Tage überprüft

Nisit P. · Vor 11 Tage überprüft

Nisit P. · Vor 11 Tage überprüft

Nisit P. · Vor 11 Tage überprüft

3474_WiraYeYint G. · Vor 11 Tage überprüft

Nachapat I. · Vor 11 Tage überprüft

Deepnita M. · Vor 11 Tage überprüft

Deepnita M. · Vor 11 Tage überprüft

Chanatda K. · Vor 12 Tage überprüft

Chanatda K. · Vor 12 Tage überprüft

Pratiksha T. · Vor 12 Tage überprüft

Chandu V. · Vor 12 Tage überprüft

Alok s. · Vor 12 Tage überprüft

Wisit S. · Vor 12 Tage überprüft

Bodin C. · Vor 12 Tage überprüft

Nice.

Thawon J. · Vor 12 Tage überprüft

Parkpoom L. · Vor 12 Tage überprüft

Tanaphol R. · Vor 13 Tage überprüft

Supawit S. · Vor 13 Tage überprüft

Titichaya V. · Vor 13 Tage überprüft

the scripts is using cloud run function gen1 but the instruction said we need to deploy gen2 so the code will not work

Prachya K. · Vor 13 Tage überprüft

siddhi k. · Vor 13 Tage überprüft

To the Google Cloud Skills Boost / Lab Content Team, I am writing to report that Task 4 and Task 5 of this lab are fundamentally broken and desperately need an immediate update. The provided instructions contain multiple critical errors that force students to spend hours debugging the lab's poorly maintained code rather than learning the actual GCP concepts. Here is a list of the critical bugs in the current lab instructions: Outdated Deployment Flags: The instructions use --trigger-resource=gs://... which is invalid for Cloud Run Functions Gen 2. It must be updated to --trigger-bucket. Missing Service Account (404 Error): The deploy command includes --service-account=${PROJECT_ID}@appspot.gserviceaccount.com, but this default App Engine SA is NOT provisioned in the lab environment, causing instant deployment failure. Wrong Bucket Name (403 Error): The deploy command references a bucket ending in -input-in, but the actual bucket we are instructed to create earlier ends in -input-invoices. This typo causes confusing Eventarc permission errors. Code Crash on Startup (Healthcheck Failed): The main.py code tries to parse a TIMEOUT environment variable (int(os.environ.get('TIMEOUT'))), but the provided .env.yaml file does not include it. This causes a NoneType error that crashes the container during the initial startup. Hardcoded Project ID (gRPC Permission Denied): The main.py file has the string YourGCPProjectID hardcoded instead of dynamically pulling the student's project ID. This causes a gRPC Permission Denied error when the function tries to write data to BigQuery. I had to manually run a sed command to fix your provided source code. Flawed File Copy Command: In Task 5, the command gsutil -m cp -r gs://cloud-training/gsp367/* ... copies Python scripts and YAML files into the input bucket alongside the PDFs. This immediately crashes the Document AI processor, which expects only document files. As a Data Engineer trying to upskill, it is extremely frustrating to waste time troubleshooting outdated lab environments and untested code. Please fix these issues so future learners don't have to face the same terrible experience. Regards, Benz

Thanachit S. · Vor 13 Tage überprüft