What is the main goal of instruction tuning?

To learn general language patterns from unlabeled data

To align the model with human preferences using feedback

To reduce the model's size for deployment

To improve the model's ability to follow user prompts

What is transfer learning in the context of foundation models?

Leveraging knowledge from a pre-trained model for a new task

Using human feedback to align model outputs

Compressing a large model into a smaller one

Training a model from scratch on a new dataset

What is the primary purpose of the pre-training phase for a foundation model?

To adapt the model to a specific task using a small labeled dataset

To align the model's outputs with human preferences using feedback

To learn general language patterns from a large corpus of unlabeled text

To compress the model into a smaller size for deployment

A hospital is fine-tuning a foundation model to assist with clinical documentation. The fine-tuning dataset contains patient records with names, dates of birth, and medical histories. The hospital's legal team requires that the model not be able to output personal health information. Which data governance practice is MOST critical to implement before fine-tuning?

Perform continuous pre-training on the patient records to improve domain knowledge.

De-identify the patient records by removing or masking all personally identifiable information (PII).

Use RLHF to train the model to avoid outputting PII.

Increase the dataset size to include more patient records for better model accuracy.

What is the primary goal of RLHF?

To improve the model's ability to follow instructions

To align model outputs with human preferences and values

To train the model on a larger dataset

AWSCertified AI Practitioner

Domain 3Objective 3

Task Statement 3.3: Describe the Training and Fine-Tuning Process for FMs. AIF-C01 Practice Questions (Page 7)

Part of the Content Domain 3: Applications of Foundation Models domain, which makes up ~32% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 40 practice questions to prepare you well beyond it. (estimate)

40questions here

8free pages

11concepts

Questions 31–35

31foundation · easy
What is the main goal of instruction tuning?
Select an answer first
32foundation · easy
What is transfer learning in the context of foundation models?
Select an answer first
33foundation · easy
What is the primary purpose of the pre-training phase for a foundation model?
Select an answer first
34application · medium
A hospital is fine-tuning a foundation model to assist with clinical documentation. The fine-tuning dataset contains patient records with names, dates of birth, and medical histories. The hospital's legal team requires that the model not be able to output personal health information. Which data governance practice is MOST critical to implement before fine-tuning?
Select an answer first
35foundation · easy
What is the primary goal of RLHF?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to AIF-C01

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by AWS. “AIF-C01” is a trademark of its owner, used for identification only.