Google Professional Machine Learning Engineer Question 52
Single answerGoogle Cloud PlatformYou are tasked with building a chatbot for a retail business to handle customer support inquiries. The chatbot needs to integrate with Google Cloud services and use natural language processing to understand customer intents. The business also requires you to quickly deploy the chatbot without extensive coding. Which Google Cloud tool is most suitable for building this chatbot?
- A
Dialogflow CX
- B
Vertex AI
- C
BigQuery
- D
Cloud Speech-to-Text
Show answer and explanation
Correct answer: A
Explanation
Dialogflow CX is specifically designed for building conversational agents like chatbots. It offers a user-friendly interface, natural language understanding capabilities, and seamless integration with other Google Cloud services, making it the ideal choice for this use case. Other options like Vertex AI, BigQuery, or Cloud Speech-to-Text are not directly suitable for chatbot development.
- A. Correct.
Dialogflow CX is a suitable tool for building chatbots as it provides a visual interface for creating conversational agents, supports natural language understanding, and integrates seamlessly with other Google Cloud services.
- B. Incorrect.
Vertex AI is a platform for training and deploying machine learning models, but it is not specifically designed for building chatbots or conversational agents.
- C. Incorrect.
BigQuery is a data warehouse solution used for querying and analyzing large datasets, and it is not relevant for chatbot development.
- D. Incorrect.
Cloud Speech-to-Text is a service for converting speech into text but does not provide the comprehensive capabilities needed for building and managing a chatbot.