Google Professional Machine Learning Engineer Question 31
Select 4Google Cloud PlatformYour team is building an AI-powered customer support chatbot for a global e-commerce platform. You are tasked with using Google Cloud's ML APIs or foundational models to quickly implement a solution. Which considerations should you prioritize when using these services to build the solution?
- A
Ensuring the model can handle multilingual support to match the global user base.
- B
Training a custom model from scratch to ensure complete control over the chatbot's behavior.
- C
Verifying the data privacy and compliance requirements when using pre-trained models or APIs.
- D
Evaluating the latency of API responses to ensure a seamless user experience.
- E
Designing a scalable infrastructure to handle fluctuating traffic across regions.
Show answer and explanation
Correct answers: A, C, D, E
Explanation
When building AI solutions using Google Cloud's ML APIs or foundational models, it's important to focus on the specific requirements of the solution, such as multilingual support, data privacy, latency, and scalability. Training a custom model is not always necessary and may not align with the goal of rapid implementation using pre-trained services. By leveraging Google Cloud's APIs and foundational models, you can efficiently address these considerations and deliver a robust solution.
- A. Correct.
Ensuring multilingual support is critical for a global e-commerce platform, as the chatbot needs to interact with users in their preferred language. Google Cloud's Translation API and foundational models can help achieve this.
- B. Incorrect.
Training a custom model from scratch is not necessary in this scenario because the use of pre-trained models or APIs is faster and more cost-effective for building such solutions.
- C. Correct.
Data privacy and compliance are essential considerations when using pre-trained models, especially given the global nature of the platform and potential regional data protection regulations.
- D. Correct.
Latency is a key factor for user experience in a chatbot. High latency can lead to a poor experience, so evaluating and optimizing API response times is essential.
- E. Correct.
Scalable infrastructure is necessary for handling traffic spikes, especially during sales or promotional events. Cloud solutions like Google Cloud can provide scalability to meet such demands.