- A
The color of the model's logo
Why wrong: Aesthetic factors are irrelevant to model selection.
- B
Latency and throughput requirements
Real-time applications need fast inference; latency and throughput are critical.
- C
Model's ability to generate images
Why wrong: Summarization is text-only; image generation is irrelevant.
- D
Cost per token for inference
Cost affects operational budget and scalability.
- E
Supported output modalities (text, code, etc.)
Ensure the model can produce the desired output format (text summaries).
Question 224 of 1,000
AIF-C01 Generative AI and Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of generative ai and 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 developer is selecting a foundation model on Amazon Bedrock for a real-time text summarization application. Which THREE factors should they consider when choosing the model? (Choose three.)
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
✓
Latency and throughput requirements
For a real-time text summarization application, latency and throughput are critical because the model must process requests quickly to maintain responsiveness. Amazon Bedrock offers models with varying inference speeds, and selecting one with low latency ensures the summarization is delivered without noticeable delay, which is essential for real-time use cases.
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 color of the model's logo
Why it's wrong here
Aesthetic factors are irrelevant to model selection.
- ✓
Latency and throughput requirements
Why this is correct
Real-time applications need fast inference; latency and throughput are critical.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Model's ability to generate images
Why it's wrong here
Summarization is text-only; image generation is irrelevant.
- ✓
Cost per token for inference
Why this is correct
Cost affects operational budget and scalability.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Supported output modalities (text, code, etc.)
Why this is correct
Ensure the model can produce the desired output format (text summaries).
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the ability to distinguish between essential technical requirements (like latency, cost, and output modality) and superficial or irrelevant features (like logo color or unrelated capabilities) to see if candidates focus on functional criteria for model selection.
Detailed technical explanation
How to think about this question
Latency in Amazon Bedrock is influenced by model architecture (e.g., transformer size), inference optimization techniques like quantization or batching, and the underlying hardware (e.g., AWS Inferentia or GPU instances). Throughput is measured in requests per second (RPS) and can be improved by using provisioned throughput or adjusting max tokens and batch size, but for real-time applications, a balance must be struck to avoid throttling while keeping response times under 500 ms.
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 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.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Generative AI and Foundation Models — This question tests Generative AI and Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Latency and throughput requirements — For a real-time text summarization application, latency and throughput are critical because the model must process requests quickly to maintain responsiveness. Amazon Bedrock offers models with varying inference speeds, and selecting one with low latency ensures the summarization is delivered without noticeable delay, which is essential for real-time use cases.
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.
About these practice questions
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Last reviewed: Jul 4, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.
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