Your question is PCA Projection and t-SNE Limits. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Given a high-dimensional dataset, how does Principal Component Analysis (PCA) mathematically project the data, and what are its limitations compared to t-SNE?