GCP GenAI Leadership Exam — 30 MCQ Quiz | Transformers, LLMs, Tokens & Scaling Laws

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🎯 Video 2 of 10 — GCP GenAI Leadership Exam Prep!

Deep-dive into the FUNDAMENTALS that power every large language model. This quiz covers the architecture and concepts behind modern AI — essential knowledge for the Google Cloud Generative AI Leader certification.

🧠 Topics covered in this quiz:
• Transformer architecture & self-attention
• Tokens, tokenisation (BPE), context windows
• Scaling laws & emergent behaviour
• Pre-training, instruction tuning, RLHF
• Zero-shot, few-shot, in-context learning
• Hallucination, perplexity, calibration
• Quantization, distillation, LoRA overview
• Chain-of-thought, softmax, positional encoding
• MoE (Mixture of Experts), FLOPs

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📌 TIMESTAMPS
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0:00 – Intro
0:10 – Q1: Transformer architecture
1:10 – Q2: What is a token?
2:10 – Q3: Context window explained
3:10 – Q4: Next-token prediction (autoregressive)
4:10 – Q5: Scaling laws
5:10 – Q6: Pre-training phase
6:10 – Q7: Encoder-only vs decoder-only models
7:10 – Q8: RLHF explained
8:10 – Q9: Zero-shot capability
9:10 – Q10: Hallucination in LLMs
10:10 – Q11: Self-attention mechanism
11:10 – Q12: What are parameters?
12:10 – Q13: Instruction tuning vs pre-training
13:10 – Q14: Quantization technique
14:10 – Q15: Emergent behaviour
15:10 – Q16: Knowledge cutoff problem
16:10 – Q17: Model distillation
17:10 – Q18: Softmax in output layer
18:10 – Q19: BPE tokenisation
19:10 – Q20: Chain-of-thought prompting
20:10 – Q21: Top-p (nucleus) sampling
21:10 – Q22: Sparse Mixture of Experts (MoE)
22:10 – Q23: Transfer learning
23:10 – Q24: In-context learning
24:10 – Q25: Perplexity metric
25:10 – Q26: Positional encoding
26:10 – Q27: FLOPs & training compute
27:10 – Q28: Fine-tuning vs prompting
28:10 – Q29: Multihead attention
29:10 – Q30: Layer normalisation
30:10 – Outro + next video

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This is Video 2 of 10 in the complete GCP GenAI Leadership Exam Prep series by amit_automates.

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All questions are original and created for educational purposes only. Not affiliated with or endorsed by Google.

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Видео GCP GenAI Leadership Exam — 30 MCQ Quiz | Transformers, LLMs, Tokens & Scaling Laws канала AmitAutomates