Amazon Web Services AIF-C01 Question Answer
What is continued pre-training?
The process of fine-tuning a pre-trained language model on labeled data for a specific task
The process of providing unlabeled data to a pre-trained language model to improve the model’s domain knowledge
The process of training a language model from the beginning on a specific dataset
The process of evaluating the performance of a pre-trained language model on a test set
Comprehensive and Detailed Explanation From Exact AWS AI documents:
Continued pre-training involves training an already pre-trained model further using unlabeled, domain-specific data.
AWS generative AI guidance explains that continued pre-training:
Expands domain knowledge
Preserves general language understanding
Differs from fine-tuning, which uses labeled data
Why the other options are incorrect:
A describes fine-tuning.
C describes training from scratch.
D describes evaluation.
AWS AI document references:
Foundation Model Customization Techniques
Continued Pre-Training vs Fine-Tuning
Domain Adaptation on AWS
TESTED 04 Feb 2026
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