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PROFESSIONAL-DATA-ENGINEER · Question #154
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have…
The correct answer is A. Call the Cloud Natural Language API from your application. Process the generated Entity Analysis as labels. Explanation/Reference: As time is less, use cloud NLP and entity is used to label general subjects, sentiment label for sentiment analysis.
Submitted by emma.c· Mar 30, 2026Operationalizing machine learning models
Question
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?
Options
- ACall the Cloud Natural Language API from your application. Process the generated Entity Analysis as labels.
- BCall the Cloud Natural Language API from your application. Process the generated Sentiment Analysis as labels.
- CBuild and train a text classification model using TensorFlow. Deploy the model using Cloud Machine Learning Engine. Call the model from your application and
- DBuild and train a text classification model using TensorFlow. Deploy the model using a Kubernetes Engine cluster. Call the model from your application and
How the community answered
(21 responses)- A90% (19)
- B5% (1)
- D5% (1)
Explanation
Explanation/Reference: As time is less, use cloud NLP and entity is used to label general subjects, sentiment label for sentiment analysis.
Topics
#Cloud Natural Language API#entity analysis#pre-trained models#NLP
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