Topic 1 Question 71
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?
Call the Cloud Natural Language API from your application. Process the generated Entity Analysis as labels.
Call the Cloud Natural Language API from your application. Process the generated Sentiment Analysis as labels.
Build and train a text classification model using TensorFlow. Deploy the model using Cloud Machine Learning Engine. Call the model from your application and process the results as labels.
Build and train a text classification model using TensorFlow. Deploy the model using a Kubernetes Engine cluster. Call the model from your application and process the results as labels.
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Correct Answer : A
Entity analysis -> Identify entities within documents receipts, invoices, and contracts and label them by types such as date, person, contact information, organization, location, events, products, and media.
Sentiment analysis -> Understand the overall opinion, feeling, or attitude sentiment expressed in a block of text. -- Avoid Custom models
👍 32VishalB2020/07/18should be A
👍 12[Removed]2020/03/21Answer: A Description: As time is less, use cloud NLP and entity is used to label general subjects, sentiment label for sentiment analysis
👍 5[Removed]2020/03/27
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