Question: In one to three sentences, describe a simple test for whether synthetic training examples are likely not representative.

Sample answer: Train a classifier to separate synthetic examples from real ones. If it can do that easily, the synthetic set probably reflects a narrow source rather than the full real-world distribution—for example, images generated from only 15 product sketches or audio created from just 30 seconds of recording.

Key points:

• A useful test is whether real and synthetic examples are easy to distinguish.
• Easy separability suggests the synthetic set came from a narrow source.
• A narrow source might be a small set of sketches or a very short recording.

Rubric: Full credit: states the separability test and gives at least one concrete narrow-source example. Partial credit: mentions that synthetic data may be unrepresentative without explaining how to test it.