Preparação de dados para APIs de ML no Google Cloud: laboratório com desafio avaliações

Maria Fernanda U. · Revisado há 23 days

Devika K. · Revisado há 23 days

DREYSON STIVEN O. · Revisado há 23 days

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Arthur O. · Revisado há 23 days

Lab: GSP323 — Prepare Data for ML APIs on Google Cloud: Challenge Lab Task: Task 4 — Use the Cloud Natural Language API The grader consistently rejects valid Natural Language API output. Verified: - File uploaded to the exact path specified in the lab: gs://qwiklabs-gcp-04-15e3aff91f46-marking/task4-cnl-777.result - Content-Type set to application/json (confirmed via `gcloud storage objects describe`) - Bucket name matches the lab spec exactly - File contains valid Cloud Natural Language API output - Tested with three endpoints: documents:analyzeEntities, documents:annotateText, and a combined entities+sentiment payload — all produced valid JSON with the expected top-level keys (entities, language, documentSentiment, sentences) - Bucket made publicly readable to rule out grader access issues - Waited 2+ minutes between attempts to rule out caching Grader error: 'Please use the Cloud Natural Language API and upload the result with the required filename to the Cloud Storage bucket.' The error message is generic and provides no actionable signal about what the grader is actually checking. Please investigate whether the grader for Task 4 is looking for a specific endpoint, payload field, or version of the API that is not documented in the lab instructions.

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