Placement Quiz Answer Key
Read only the round the learner has just completed. Keep later rounds out of context until their answers arrive. Reveal the explanations only after all five rounds are complete.
Round 1: Math and Statistics
- Q1: A. The dot product is
1*4 + 2*5 + 3*6 = 32. - Q2: D. Exactly two heads has probability
C(3,2) * (1/2)^3 = 3/8.
Round 2: Classical ML
- Q3: B. The model correctly predicts the 90% negative examples and misses the 10% positive examples, so its accuracy is 90%.
- Q4: C. The number of trees is configured before training. Split thresholds, leaf predictions, and node impurity are learned or calculated during fitting.
Round 3: Deep Learning
- Q5: A. The chain rule propagates derivatives so the loss gradient can be computed with respect to each weight.
- Q6: D. Residual paths give gradients a shorter route through deep networks, reducing degradation caused by vanishing gradients.
Round 4: NLP and Transformers
- Q7: C. Attention compares queries with keys and uses the resulting weights to combine values.
- Q8: B. LoRA freezes the base model and trains small low-rank update matrices, reducing the number of trainable parameters.
Round 5: Applied AI
- Q9: A. A RAG pipeline retrieves relevant material and supplies it as context before the language model generates an answer.
- Q10: B. A coordinator decomposes work, assigns tasks, routes messages, and manages collaboration among specialized agents.