- A
Use a larger model with more parameters for better accuracy
Why wrong: Larger models increase latency, contrary to the goal.
- B
Store all embeddings in a global Aurora database
Why wrong: Global database may violate data residency and does not directly reduce latency.
- C
Use a smaller, faster foundation model
Smaller models reduce inference latency.
- D
Select a foundation model that is available in the target AWS Region
Ensures data stays within the required region.
- E
Enable cross-Region inference to distribute load
Why wrong: Cross-Region may violate data residency if data leaves the region.
Question 349 of 1,000
hardMultiple SelectObjective-mapped
AIF-C01 Practice Question: Deploying a generative AI application using…
This AIF-C01 practice question tests your understanding of aif-c01 exam topics. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company is deploying a generative AI application using Amazon Bedrock. The application must comply with data residency requirements, so all data processing must occur within a specific AWS Region. Additionally, the company wants to reduce latency for end users. Which TWO actions should the company take? (Choose TWO.)
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 a smaller, faster foundation model
Option C is correct because using a smaller, faster foundation model reduces inference latency, which directly addresses the company's goal of minimizing response times for end users. Smaller models have fewer parameters and require less computational overhead, making them more suitable for low-latency applications where speed is prioritized over maximum accuracy.
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 a larger model with more parameters for better accuracy
Why it's wrong here
Larger models increase latency, contrary to the goal.
- ✗
Store all embeddings in a global Aurora database
Why it's wrong here
Global database may violate data residency and does not directly reduce latency.
- ✓
Use a smaller, faster foundation model
Why this is correct
Smaller models reduce inference latency.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Select a foundation model that is available in the target AWS Region
Why this is correct
Ensures data stays within the required region.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable cross-Region inference to distribute load
Why it's wrong here
Cross-Region may violate data residency if data leaves the region.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that cross-Region inference is a valid solution for latency reduction without considering data residency constraints, leading candidates to incorrectly select Option E alongside a correct answer.
Detailed technical explanation
How to think about this question
Amazon Bedrock offers foundation models with varying parameter counts and inference speeds; for example, smaller models like Amazon Titan Text Lite or Anthropic Claude Instant can provide sub-second response times compared to larger models like Claude 3 Opus. Data residency in Bedrock is enforced by selecting a model endpoint that is physically hosted in the desired AWS Region, as model inference and any data passed to the model remain within that Region's boundary. Cross-Region inference, while useful for load balancing, would route requests to endpoints in other Regions, violating strict data locality policies required by regulations like GDPR or HIPAA.
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Use a smaller, faster foundation model — Option C is correct because using a smaller, faster foundation model reduces inference latency, which directly addresses the company's goal of minimizing response times for end users. Smaller models have fewer parameters and require less computational overhead, making them more suitable for low-latency applications where speed is prioritized over maximum accuracy.
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
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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