Finalize GenAI exam: simplify qabilah+q2, add q5 LangChain agent

q2-arabic-tts-stt/arabic-tts-stt-proposal.md

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+# Q2 — Propose an Arabic TTS or STT Model + Dataset
+
+⏱ **Budget: ~6 minutes** · Weight: 15%
+
+## Choose ONE option
+
+- **Option A — TTS.** Propose a text-to-speech model to fine-tune for Arabic.
+- **Option B — STT.** Propose a speech-to-text model to fine-tune for Arabic.
+
+## The task
+
+Propose **one model** and **one dataset**, with a short justification. No training, no running code — just a well-reasoned pick. (Short code/CLI snippets are allowed but not required.)
+
+Cover:
+
+1. **Model** — name it, and say why: architecture, license, multilingual/Arabic support.
+2. **Dataset** — name it, and say why: size, dialect (MSA vs. Egyptian vs. Gulf vs. Maghrebi), license, where to get it.
+3. **Why this pairing works for Arabic** — 1–2 sentences (e.g. diacritization handling, dialect coverage).
+4. **One key risk** — 1 sentence.
+
+## ANSWER — Arabic TTS/STT Proposal
+
+**Option chosen:** A / B  (delete one)
+
+### Proposed model
+
+> _write here_ 
+
+### Proposed dataset
+
+> _write here_ 
+
+### Why this pairing works for Arabic
+
+> _write here_ 
+
+### One key risk
+
+> _write here_