关于“使用 Natural Language API 进行实体和情感分析”的评价

Subhan A. · 已于 over 1 year前审核

Bilal M. · 已于 over 1 year前审核

Dilnaz S. · 已于 over 1 year前审核

Damir I. · 已于 over 1 year前审核

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sajitha S. · 已于 over 1 year前审核

Kyle K. · 已于 over 1 year前审核

Aman B. · 已于 over 1 year前审核

Dhrumit D. · 已于 over 1 year前审核

Reason for a 1-Star Rating for the Lab: Inconsistent API Behavior: The API key worked initially, but subsequent requests returned 403 "PERMISSION_DENIED" errors. The lab instructions do not clarify that API keys may not work for this request, leading to wasted time troubleshooting. Lack of Proper Documentation on Authentication: The lab should explicitly mention that Google Cloud APIs sometimes require OAuth authentication instead of API keys. A fallback authentication method (such as using gcloud auth application-default login) should be included in the instructions. Training Environment Issues: It’s unclear if rate limits, session restrictions, or other security policies are affecting the API key. The lab does not mention if temporary training accounts have API limitations, causing confusion. Time Wasted Due to Missing Context: Without a proper explanation of API authentication options, users are left to debug API errors instead of learning the intended concepts. Suggested Fixes: ✔ Clearly state in the lab that some APIs require OAuth authentication instead of an API key. ✔ Provide a troubleshooting section for common API issues, including "Method doesn't allow unregistered callers" errors. ✔ Mention Google Cloud's API quota restrictions for training environments and how to work around them.

Nicholas R. · 已于 over 1 year前审核

Reason for a 1-Star Rating for the Lab: Inconsistent API Behavior: The API key worked initially, but subsequent requests returned 403 "PERMISSION_DENIED" errors. The lab instructions do not clarify that API keys may not work for this request, leading to wasted time troubleshooting. Lack of Proper Documentation on Authentication: The lab should explicitly mention that Google Cloud APIs sometimes require OAuth authentication instead of API keys. A fallback authentication method (such as using gcloud auth application-default login) should be included in the instructions. Training Environment Issues: It’s unclear if rate limits, session restrictions, or other security policies are affecting the API key. The lab does not mention if temporary training accounts have API limitations, causing confusion. Time Wasted Due to Missing Context: Without a proper explanation of API authentication options, users are left to debug API errors instead of learning the intended concepts. Suggested Fixes: ✔ Clearly state in the lab that some APIs require OAuth authentication instead of an API key. ✔ Provide a troubleshooting section for common API issues, including "Method doesn't allow unregistered callers" errors. ✔ Mention Google Cloud's API quota restrictions for training environments and how to work around them.

Nicholas R. · 已于 over 1 year前审核

Sameer P. · 已于 over 1 year前审核

Rammohan D. · 已于 over 1 year前审核

たかおみ G. · 已于 over 1 year前审核

really great

Jason R. · 已于 over 1 year前审核

Shivam Y. · 已于 over 1 year前审核

Aaron T. · 已于 over 1 year前审核

Dhanvada, L. · 已于 over 1 year前审核

Peter F. · 已于 over 1 year前审核

Parth M. · 已于 over 1 year前审核

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Gustavo N. · 已于 over 1 year前审核