Analyse des entités et des sentiments avec l'API Natural Language avis

187970 avis

Subhan A. · Examiné il y a plus d'un an

Bilal M. · Examiné il y a plus d'un an

Dilnaz S. · Examiné il y a plus d'un an

Damir I. · Examiné il y a plus d'un an

Sagar S. · Examiné il y a plus d'un an

Mohsin A. · Examiné il y a plus d'un an

Muhammad Ahmad M. · Examiné il y a plus d'un an

Alansary E. · Examiné il y a plus d'un an

sajitha S. · Examiné il y a plus d'un an

Kyle K. · Examiné il y a plus d'un an

Aman B. · Examiné il y a plus d'un an

Dhrumit D. · Examiné il y a plus d'un an

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. · Examiné il y a plus d'un an

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. · Examiné il y a plus d'un an

Sameer P. · Examiné il y a plus d'un an

Rammohan D. · Examiné il y a plus d'un an

たかおみ G. · Examiné il y a plus d'un an

really great

Jason R. · Examiné il y a plus d'un an

Shivam Y. · Examiné il y a plus d'un an

Aaron T. · Examiné il y a plus d'un an

Dhanvada, L. · Examiné il y a plus d'un an

Peter F. · Examiné il y a plus d'un an

Parth M. · Examiné il y a plus d'un an

Vaibhav J. · Examiné il y a plus d'un an

Gustavo N. · Examiné il y a plus d'un an

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