1Z0-1127-25 LLM Fundamentals Practice Question
An ML engineer is selecting a pre-trained model for a code generation task. The model must be able to generate syntactically correct code in multiple programming languages. Which model family is BEST suited for this task?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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Meta Llama (Code Llama variant)
Models like Code Llama (a variant of Llama) are specifically fine-tuned on code and are known for strong code generation capabilities. While other models can generate code, Code Llama is the best fit among the options.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Meta Llama (Code Llama variant)
Why this is correct
Code Llama is a variant of Llama fine-tuned on code, making it well-suited for code generation across languages.
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BERT
Why it's wrong here
BERT is an encoder-only model for understanding tasks; it cannot generate text, let alone code.
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Cohere Command
Why it's wrong here
Cohere Command is a general-purpose text generation model, not specifically optimized for code.
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Mistral
Why it's wrong here
Mistral is a general-purpose LLM; while it can generate code, it is not as specialized as Code Llama.
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