The answer is Amazon Bedrock, which provides serverless access to foundation models via a simple API for prototyping generative AI applications. This service abstracts away the underlying ML infrastructure, allowing you to invoke pre-trained models for tasks like text summarization without managing servers, training jobs, or endpoints. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of the “lowest management” path to generative AI—a key distinction from SageMaker, which requires manual endpoint deployment, or EC2, which demands full model setup. A common trap is confusing Bedrock with Lambda, but remember Lambda is a compute service, not a generative AI service. For the exam, think “Bedrock = built-in foundation models, zero infrastructure,” and contrast it with SageMaker’s “build and manage” approach. Memory tip: Bedrock is the “bedrock” of serverless AI—just call the API and go.
AIF-C01 Fundamentals of Generative AI Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of generative ai. 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 startup wants to quickly prototype a generative AI application for summarizing news articles. They have limited ML expertise and want minimal infrastructure management. Which AWS service should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Bedrock with a foundation model accessed via API.
Option C is correct because Amazon Bedrock provides serverless access to foundation models via API, requiring no ML infrastructure. Option A is wrong because Amazon SageMaker requires managing training jobs and endpoints. Option B is wrong because AWS Lambda is a compute service, not a generative AI service. Option D is wrong because Amazon EC2 requires manual setup of models.
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 with a foundation model accessed via API.
Why this is correct
Serverless, fully managed, and easy to use for prototyping.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon SageMaker to build and train a custom summarization model.
Why it's wrong here
Requires ML expertise and infrastructure management.
✗
AWS Lambda with a custom Python script using the Hugging Face Transformers library.
Why it's wrong here
Lambda is not designed for hosting models; cold starts and timeouts are issues.
✗
Amazon EC2 instance running a pre-trained model from AWS Marketplace.
Why it's wrong here
Requires managing the EC2 instance and scaling.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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: Amazon Bedrock with a foundation model accessed via API. — Option C is correct because Amazon Bedrock provides serverless access to foundation models via API, requiring no ML infrastructure. Option A is wrong because Amazon SageMaker requires managing training jobs and endpoints. Option B is wrong because AWS Lambda is a compute service, not a generative AI service. Option D is wrong because Amazon EC2 requires manual setup of models.
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 →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A developer is building an application that generates product descriptions from images using a multimodal model. Which AWS service provides access to multimodal foundation models?
easy
A.Amazon Rekognition
B.Amazon Textract
C.Amazon Comprehend
✓ D.Amazon Bedrock
Why D: Option B, Amazon Bedrock, offers access to multimodal models like Claude 3 that can process images and text. Option A (Rekognition) is for image and video analysis, not generation. Option C (Textract) extracts text from documents. Option D (Comprehend) is for NLP.
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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
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