Compute Targets Configuration Quiz

What you'll be asked

1. Which compute target is best suited for interactive data exploration and code development in a notebook environment?
2. You need to perform large-scale distributed training that requires scaling out to multiple nodes dynamically. Which compute target should you configure?
3. When deploying a production model that requires high availability, low latency, and integration with a custom Kubernetes environment, which compute target is the standard choice?
4. Your team is concerned about costs during off-hours. Which configuration setting is most effective for managing compute cluster expenses?
5. You are configuring a multi-tenant environment where different data science teams share the same workspace. To prevent one team's large training job from exhausting all available quota, what is the most robust MLOps implementation strategy?

Answers and explanations come after you submit.