The answer is model size, token limits for input and output, and language support. These three factors are critical when selecting a foundation model for legal document analysis because model size directly impacts the capability to understand complex legal language and the cost of running inferences, token limits determine whether an entire contract or statute can be processed in a single pass without truncation, and language support ensures the model can handle specialized legal terminology and multilingual documents. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your ability to distinguish technical model selection criteria from operational or regional concerns—a common trap is choosing cost per inference or region, which are not primary technical factors for this task. Remember the mnemonic “MoTiL” for Model size, Token limits, and Language support to quickly recall the three key considerations when evaluating foundation models on Amazon Bedrock.
AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative ai. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An organization is evaluating different foundation models (FMs) on Amazon Bedrock for a legal document analysis task. Which THREE factors should they consider when selecting a model? (Choose 3.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Model size (number of parameters)
Options A, B, and D are correct. Model size affects capability and cost, token limits determine the length of documents that can be processed, and language support is critical for legal documents. Option C (region) is not a model capability factor. Option E (cost per inference) is operational but not a primary technical selection factor for this task.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
The region where the model is hosted
Why it's wrong here
Region is irrelevant to model capabilities; any region can host the model.
✓
Model size (number of parameters)
Why this is correct
Larger models often have better understanding but higher cost.
Related concept
Read the scenario before looking for a memorised answer.
✗
Cost per inference call
Why it's wrong here
Cost is important but secondary to technical capability for model selection.
✓
Support for the specific language of the documents
Why this is correct
Models vary in multilingual support; must cover the document language.
Related concept
Read the scenario before looking for a memorised answer.
✓
Token limits for input and output
Why this is correct
Legal documents may be long, so token limits affect feasibility.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Fundamentals of Generative AI — This question tests Fundamentals of Generative AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Model size (number of parameters) — Options A, B, and D are correct. Model size affects capability and cost, token limits determine the length of documents that can be processed, and language support is critical for legal documents. Option C (region) is not a model capability factor. Option E (cost per inference) is operational but not a primary technical selection factor for this task.
What should I do if I get this AIF-C01 question wrong?
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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