- A
Amazon Bedrock
Bedrock provides a serverless API with per-token pricing.
- B
Amazon API Gateway
Why wrong: API Gateway creates APIs but does not host models.
- C
AWS Lambda
Why wrong: Lambda is compute, not a model inference service.
- D
Amazon SageMaker
Why wrong: SageMaker endpoints are instance-based, not serverless per-token.
Quick Answer
The answer is Amazon Bedrock, which is the correct choice because it provides a fully managed, serverless API for accessing foundation models from leading AI providers like Anthropic, Meta, and Stability AI, charging only per token processed rather than requiring any infrastructure provisioning or capacity planning. This serverless architecture means you can invoke models such as Claude or Llama through a simple API call without managing servers, scaling, or upfront commitments, making it ideal for variable or unpredictable workloads. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of how Bedrock differs from services like SageMaker (which requires managed instances) or Lambda (which runs custom code, not pre-built foundation models). A common trap is confusing Bedrock with Amazon Q or Amazon Lex, but remember that Bedrock is the only service offering direct, serverless access to third-party foundation models with pay-per-token pricing. Memory tip: think "Bedrock = Base + Rock" — it provides the foundational bedrock for AI models without any server overhead.
AIF-C01 Applications of Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of applications of foundation models. 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.
Which AWS service provides a serverless API for accessing foundation models with per-token pricing?
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
Amazon Bedrock
Amazon Bedrock is the managed service that offers a serverless API for foundation models, charging per token.
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.
- ✓
Amazon Bedrock
Why this is correct
Bedrock provides a serverless API with per-token pricing.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon API Gateway
Why it's wrong here
API Gateway creates APIs but does not host models.
- ✗
AWS Lambda
Why it's wrong here
Lambda is compute, not a model inference service.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker endpoints are instance-based, not serverless per-token.
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.
- →
Applications of Foundation Models — study guide chapter
Learn the concepts, then practise the questions
- →
Applications of Foundation Models practice questions
Targeted practice on this topic area only
- →
All AIF-C01 questions
500 questions across all exam domains
- →
AWS Certified AI Practitioner AIF-C01 study guide
Full concept coverage aligned to exam objectives
- →
AIF-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related AIF-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Applications of Foundation Models practice questions
Practise AIF-C01 questions linked to Applications of Foundation Models.
Fundamentals of AI and ML practice questions
Practise AIF-C01 questions linked to Fundamentals of AI and ML.
Fundamentals of Generative AI practice questions
Practise AIF-C01 questions linked to Fundamentals of Generative AI.
Guidelines for Responsible AI practice questions
Practise AIF-C01 questions linked to Guidelines for Responsible AI.
Security, Compliance and Governance for AI Solutions practice questions
Practise AIF-C01 questions linked to Security, Compliance and Governance for AI Solutions.
AIF-C01 fundamentals practice questions
Practise AIF-C01 questions linked to AIF-C01 fundamentals.
AIF-C01 scenario practice questions
Practise AIF-C01 questions linked to AIF-C01 scenario.
AIF-C01 troubleshooting practice questions
Practise AIF-C01 questions linked to AIF-C01 troubleshooting.
Practice this exam
Start a free AIF-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Amazon Bedrock — Amazon Bedrock is the managed service that offers a serverless API for foundation models, charging per token.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More AIF-C01 practice questions
- A company is using Amazon Bedrock to generate code snippets. They want to ensure the generated code is secure. Which TWO…
- A healthcare company is using Amazon Bedrock to summarize patient notes. The compliance team requires that no patient da…
- A company is using Amazon Bedrock to generate marketing copy. They want to evaluate the quality of the generated text. W…
- An organization wants to detect anomalies in real-time streaming data from IoT devices. The data includes sensor reading…
- A company is deploying a machine learning model for real-time fraud detection. The model must make predictions with late…
- A company is using Amazon Bedrock to generate marketing content. They want to evaluate the quality of the generated text…
Last reviewed: Jun 23, 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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.