Google Cloud Professional Machine Learning Engineer — Question 220

You work at a leading healthcare firm developing state-of-the-art algorithms for various use cases. You have unstructured textual data with custom labels. You need to extract and classify various medical phrases with these labels. What should you do?

Answer options

• A. Use the Healthcare Natural Language API to extract medical entities
• B. Use a BERT-based model to fine-tune a medical entity extraction model
• C. Use AutoML Entity Extraction to train a medical entity extraction model
• D. Use TensorFlow to build a custom medical entity extraction model

Correct answer: C

Explanation

The correct answer is C because AutoML Entity Extraction can simplify the process of training a model specifically for your medical entity extraction needs, which is ideal for handling unstructured data with custom labels. Options A and B, while valid methods, do not specifically address the need to train a model with AutoML, and D requires more manual effort and expertise in TensorFlow than needed for this task.