- A
Use prompt engineering to include the glossary in each translation request.
Including the glossary in the prompt directly informs the model of the correct translations.
- B
Use a larger foundation model that has better language understanding.
Why wrong: Larger models may not know specific acronyms unless trained on them.
- C
Fine-tune the foundation model on a corpus of bilingual company documents.
Why wrong: Fine-tuning requires significant effort and data, not a quick win.
- D
Switch to Amazon Translate with custom terminology.
Why wrong: Amazon Translate is a different service; not using the foundation model.
Question 359 of 1,000
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. 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.
A multinational corporation uses a foundation model via Amazon Bedrock to translate internal communication documents from English to multiple languages. They notice that the translations often miss company-specific jargon and acronyms, leading to confusion. The company has a glossary of approved translations for terms like 'Project Atlas' and 'Operation Synergy.' They want to improve translation accuracy quickly and with minimal effort. What approach should they take?
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
✓
Use prompt engineering to include the glossary in each translation request.
Option A is correct because prompt engineering allows the company to inject the glossary directly into the context window of the foundation model with each translation request. This approach requires no model retraining or infrastructure changes, enabling rapid improvement by simply appending the approved translations as instructions or few-shot examples. It is the quickest and least effortful method to enforce company-specific terminology without altering the underlying model.
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.
- ✓
Use prompt engineering to include the glossary in each translation request.
Why this is correct
Including the glossary in the prompt directly informs the model of the correct translations.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a larger foundation model that has better language understanding.
Why it's wrong here
Larger models may not know specific acronyms unless trained on them.
- ✗
Fine-tune the foundation model on a corpus of bilingual company documents.
Why it's wrong here
Fine-tuning requires significant effort and data, not a quick win.
- ✗
Switch to Amazon Translate with custom terminology.
Why it's wrong here
Amazon Translate is a different service; not using the foundation model.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may overestimate the effort required for prompt engineering or underestimate the speed and simplicity of in-context learning, leading them to choose fine-tuning or a different service when the most direct and minimal-effort solution is to augment the prompt with the glossary.
Detailed technical explanation
How to think about this question
Prompt engineering leverages the in-context learning capability of large language models, where providing a glossary as part of the system prompt or as few-shot examples biases the model's output toward the specified translations. This technique works because foundation models are trained to follow instructions and can dynamically adapt to context without weight updates. In practice, the glossary can be formatted as a list of key-value pairs (e.g., 'Project Atlas' -> 'Proyecto Atlas') and prepended to each translation prompt, ensuring consistent terminology across all requests.
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.
TExam Day Tips
- 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Applications of Foundation Models — This question tests Applications of Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use prompt engineering to include the glossary in each translation request. — Option A is correct because prompt engineering allows the company to inject the glossary directly into the context window of the foundation model with each translation request. This approach requires no model retraining or infrastructure changes, enabling rapid improvement by simply appending the approved translations as instructions or few-shot examples. It is the quickest and least effortful method to enforce company-specific terminology without altering the underlying model.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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